Journal articles: 'Feeding automatons'

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Baroiu, Nicuşor, Virgil Gabriel Teodor, and Florin Iftode. "Monitoring a Group of Hydraulic Pumps Connected to the Water Feeding System of a Civil Building." Advanced Engineering Forum 21 (March 2017): 474–81. http://dx.doi.org/10.4028/www.scientific.net/aef.21.474.

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The paper describes the method that can be used to monitoring of a water feeding system of a civil building and its subsystems, using a graphic interface of a soft-ware pack – SCADA (Supervisory Control and data Acquisition), WinCC Flexible. The effective adjustment of the pressure of the water feeding system implies using specific elements: sensors, execution elements, programmable automatons and monitoring devices. In the paper, also is analysed the situation in which three centrifugal pumps are utilized as execution elements, a pressure sensor – to measure the pressure of the water feeding system of the consumer, three sensors that detect the presence of water in each well and a Siemens programmable automaton, from the SIMATIC S7-300 series, which controls the process and a PC for the acquisition of data and for monitoring. Thus, it presents a schematic system operating water supply, logic operation sequence control, protection, signage and display alarms

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Malyshev, Alexander, and Evgenii Burgov. "Revisiting Parameters of Bioinspired Behavior Models in Group Foraging Modeling." SPIIRAS Proceedings 19, no. 1 (February 7, 2020): 79–103. http://dx.doi.org/10.15622/10.15622/sp.2020.19.1.3.

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Using bioinspired models and methods is one of approaches for solving tasks of swarm robotics. In this paper one of such tasks, modeling of foraging, and it’s solving by creating analogues of social structures of ants and models of feeding behavior are considered. The most important characteristics of ants’ colonies for modeling were defined – individuals number in society and it’s structure, workers’ speed, a communication distance and working area size. Besides, existing experimental basis (a group of robots and a polygon) was estimated for a usage as a hardware platform for experiments. Several models of feeding behavior were considered: a model without foragers’ functions differentiation and a model with differentiation on active and passive ones. Active foragers look for resources by themselves, then they involve passive foragers; passive foragers are settled on a base, while are not involved in harvesting. A set of finite state machines describe the behavior of agents: basic automatons (provide basic behavior functions) and a meta- automaton, that switches with some conditions an execution of basic automatons. Basic movements were tested on experimental basis. A complex test of models were conducted in a simulation program Kvorum. An analogue of real polygon was made in the program. Modeling consists of series of experiments for every model in which agents must harvest resources. Series differ from each other by number of agents. For models’ quality estimation a ratio of received energy to average obtaining time. Experiments settle that model with functions differentiation works more effective.

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Altybayev, Alshyn, Yelena Naydenko, Besarion Meskhi, Andrey Mozgovoy, Dmitriy Rudoy, and Anastasiya Olshevskaya. "Creation of integrated system for feeding management activities automation in beef breeding." E3S Web of Conferences 175 (2020): 03019. http://dx.doi.org/10.1051/e3sconf/202017503019.

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The practical aspects of creating a hardware-software complex for digital information technology implementation in beef breeding feeding management system are considered. Based on systematic analysis of fattening enterprises current state in Kazakhstan, the areas most prepared for automation in the activities of feeding management in beef breeding were identified. The basic information processes are structured to ensure the adoption of optimal management decisions to comply with the technological regulations for keeping animals on the feedlot. The architecture of information infrastructure and integration of its hardware and software components are proposed, taking into account the current state of IT-solutions market. The material and technical base of the processes for feeding management activities automating was selected taking into account the current state of IT-solutions market and integration requirements, its software integration was implemented. Some methodological approaches to solving problems of software engineering are substantiated, implementation of which contributes to the achievement of practical results of increasing the management activities efficiency of personnel at the operational level.

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Han, Liang, and Jun Jing Wang. "A Study on Vibration Measuring Technique for Vibratory Feeding System." Advanced Materials Research 765-767 (September 2013): 2185–88. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2185.

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The development of industrial automation has urged the vibratory feeding system to become an efficient automation equipment. With vibration as the operating mode of the vibratory transmission system, the moving mass has a crucial impact on transmission rate and efficiency of the material. Therefore, it is necessary to carry out real-time vibration measurement of the vibratory feeding system and get feedback to the control system, so that the vibratory feeding system works more efficiently. The paper provides two vibration measuring techniques which separately uses the displacement sensor and the acceleration sensor. Through comparing the two methods, it provides a strong basis for choosing better measuring technique for vibratory feeding system.

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Patil, Prof Swapnil J., Mr Omkar R. Choukar, and Mr Chaitrajeet R. Deokate. "Automation of Stone Feeding on T8 Honing Machine." IARJSET 4, no. 1 (January 6, 2017): 93–100. http://dx.doi.org/10.17148/iarjset/ncdmete.2017.23.

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Flanders, J., J. Grichor, J. Kuehn, D. Mabey, and J. Kerestes-Smith. "Automating a Tube Feeding and Nourishment Ordering Process." Journal of the American Dietetic Association 96, no. 9 (September 1996): A81. http://dx.doi.org/10.1016/s0002-8223(96)00595-0.

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Nagy, Balázs József, Kristóf Nagy, Balázs Ivanics, Dániel Fózer, István Balogh, and Áron Németh. "Effect of Fed-batch Culturing on the Growth and Lipid Production of Chlorella vulgaris fo. tertia Applying pH-auxostat Acetic Acid and Predefined Exponential Glucose Feeding." Periodica Polytechnica Chemical Engineering 66, no. 2 (February 15, 2022): 218–28. http://dx.doi.org/10.3311/ppch.19093.

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The techniques of heterotrophic microalgae cultivation used to be resulting in higher productivity and better yield than autotrophic culturing. Batch cultivation strategy is commonly used with high glucose concentration, but its potential is limited for biomass production at an industrial scale. Usually, the best productivity can obtain at lower glucose concentration. Moreover, other carbon sources can cause inhibition at higher concentrations. Therefore, the fed-batch cultivation strategy is an obvious choice, as it can maintain the optimal amount of carbon source can be maintained throughout the fermentation by automating the feeding. Such self-regulatory automation is provided by the pH-auxostat addition of acetic acid, which was investigated in this study for Chlorella vulgaris fo. tertia. The pH-auxostat fermentation was upscaled, then the feeding profile was modelled and transformed to another fermentation where glucose was used as a carbon source instead of acetic acid. Thus, the preferred carbon sources were compared under the same circumstances. It was found that the tested strain consumes dissolved oxygen very fast on both carbon substrates. It favored the acetic acid at high nitrogen and phosphorus concentrations. The final biomass concentration was 29.2 g/L under pH-auxostat fed-batch strategy with acetic acid and 18.8 g/L with glucose, respectively. The highest lipid content (393 mg/g) was measured from the biomass in the case of acetic acid. The fermentation settings need further optimization, but the results concluded that pH-auxostat acetic acid feeding has a great potential for scale-up of Chlorella fermentation.

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Flachowsky, Gerhard. "Automation of feeding and milking: Production, health, behaviour, breeding." Animal Feed Science and Technology 29, no. 3-4 (June 1990): 343–45. http://dx.doi.org/10.1016/0377-8401(90)90040-f.

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Abdullah, Muhammad Saef Tarqani, and Lucyantie Mazalan. "Smart Automation Aquaponics Monitoring System." JOIV : International Journal on Informatics Visualization 6, no. 1-2 (May 28, 2022): 256. http://dx.doi.org/10.30630/joiv.6.1-2.925.

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Modern agriculture, such as aquaponics, has become a well-known solution nowadays for farming, especially in Asia countries. It provides an alternative to support food demands and maintain environmental sustainability. However, it requires manpower and time to maintain and monitor the system. This research proposes a smart automation aquaponic monitoring system that helps users maintain and monitor the system through smartphone applications. The system uses DHT11 to record temperature and humidity, HC-SR04 for water level, and FC-28 to maintain soil moisture. The sensors are integrated with WeMos D1 Wi-Fi Uno based ESP8266 microcontroller to process the data. The data collected is stored in the cloud and retrieved via the Blynk application, which also performs as an actuator and allows users to control the parameters involved. The application helps to monitor the humidity, temperature, and water level in the fish tank and control the actuator for feeding fish. The system also sends a notification to the user for any activities performed, such as watering plants, feeding fish, and abnormality of temperature in the surroundings. The performance of the system was evaluated using regression modeling. The result indicates positive growth for both plants and fish during the monitoring duration, suggesting the proposed system's effectiveness. Overall, this solution helps to reduce manpower and operation costs as well as alternatives for food demand and stabilize environmental sustainability, especially in the urban residency.

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Reger, Matthias Thomas, Anton, Johann, Jörn Stumpenhausen, and Heinz Bernhardt. "Lidar and Radar Enable the Next Generation of Dairy Cattle Feeding." Applied Engineering in Agriculture 38, no. 1 (2022): 207–17. http://dx.doi.org/10.13031/aea.14741.

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HighlightsDevelopments in automatized feeding lead to farms being locked industrial production sites.LiDAR and Radar facilitate driverless feed mixers by covering navigation and safety aspects.External safety of driverless vehicles can be compensated with optical, acoustical and organizational measures.Abstract. Present automatic feeding systems (AFS) for dairy cattle are predominantly machines with additional external structures, e.g., bus bars and guide rails. In order to achieve complete automation of the feeding process, future AFS must be adaptable to different types of farm structures. Technologies such as LiDAR (Light Detection and Ranging) and Radar (Radio Detection and Ranging) enable free navigation of self-propelled feed mixer wagons and make important contributions to personal protection and collision avoidance. This enables the feed mixer to reach silo systems independently, remove feed and present it at the feed table. Using a self-propelled mixer feeder, both LiDAR and Radar are comparatively analyzed in a practical series of tests under farm conditions. Research into the legal framework and an exemplary risk assessment lay the conceptual basis for future automatic feeding systems. The aim of this consideration is to derive a coordinated concept for the areas of navigation and collision protection in an automatic feeding system for next-generation dairy cattle. Keywords: AFS, AGV, Automation, Dairy, Feeding, Laser, LiDAR, Radar.

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Sun, Yin Da, Bai Qing Zhou, and Wen Qin Xu. "Design of an Automatic Feeding Device for Melting Tin-Ingot." Advanced Materials Research 538-541 (June 2012): 2945–48. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.2945.

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The paper covers an automatic feeding device for melting tin-ingot, which has advantages of improving working conditions, high automation, stable operation, good reliability, and thus has more applied value.

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Dali Purwanto, Timur, Irman Effendy, and Vio Naldo. "Automation of Animal Feeders Using NODEMCU ESP8266 and Smartphone-Based BLYNK APP." Jurnal Sains dan Teknologi Industri 20, no. 2 (April 28, 2023): 865. http://dx.doi.org/10.24014/sitekin.v20i2.22440.

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Most humans today have used smartphones or smartphones, and besides that, humans also have pets where these pets require routine care, such as feeding the pet and others. We as humans sometimes when are not available or unable to care for our pets. Therefore the author raises the title "Automation of Animal Feeding Using Nodemcu Esp8266 and Smartphone-Based Blynk App".This research uses Research and Development methods or research and development. The source of data used in previous studies was Pet Feeder and direct observation for making the author's tool using the ADDIE method (Analysis, Design, Development, Implementation and Evaluation). Based on the observation of the finished results of the tool, it was concluded that the tool can work smoothly and show results to pets in the form of regular pet feeding schedules and with the right portions.

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Silalahi, Alfriska Oktarina, Amsal Sinambela, Hans Mawito Panggabean, and Jekson T. N. Pardosi. "Smart automated fish feeding based on IoT system using LoRa TTGO SX1276 and cayenne platform." EUREKA: Physics and Engineering, no. 3 (May 25, 2023): 66–79. http://dx.doi.org/10.21303/2461-4262.2023.002745.

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One type of aquaculture that is commonly found in Indonesia is freshwater fisheries in the form of densely stocked fish ponds. An important factor that supports the success of this aquaculture is an appropriate and scheduled feeding system the fish. To address this problem, this paper proposed a smart automation system was designed and implemented to perform feeding management with solar panel as the power. To enhance the productivity of the fish, this paper proposing a new contribution based on Internet of Things (IoT) solution that could control and monitoring the schedule time and amount of feeding and the food behavior of fish. This system is accessed through the Cayenne website and using LoRa TTGO SX1276 to microcontroller and it showed that the schedule and amount of feed was successful with a high accuracy and the panel system also worked well in monitoring and controlling the power system. From the results of testing the entire system, it can be concluded that the feeding automation system can help optimize the productivity of freshwater aquaculture, and provides an innovative solution which user-friendly, secure, scalable, low cost and go green, reliable

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Han, L., and J. X. Gao. "A Study on the Modelling and Simulation of Part Motion in Vibratory Feeding." Applied Mechanics and Materials 34-35 (October 2010): 2006–10. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.2006.

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It is known that vibratory feeders are the most versatile of all hopper feeding devices for small engineering parts and play a key role in assembly automation. This work develops a mathematical model of the part motion in vibratory feeding, from which how the part works can be better known. A computer simulation programmed with MATLAB has been made to predict the conveying velocity of the parts in vibration feeding system, and furthermore, experiments have been carried out for verification purpose. The experimental results show that the simulation results are reasonable, and hence can be used to improve the design of vibratory feeding system.

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Duan, Xiao Bin, Hai Tao Wu, and Hong Bin Liu. "The Design on Automatic Feed Punching Mechanism on SolidWorks." Advanced Materials Research 655-657 (January 2013): 273–76. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.273.

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Established the model of automatic feed punching mechanism by using 3D modeling software SolidWorks, we finished the 3D model of parts and parts assembly according to the design automatic feed punching mechanism’s requirements. This design based on the double-crank seven-bar mechanism as pressing mechanism and cam mechanism as feeding mechanism, completed the combination of pressing mechanism and feeding mechanism and the automation of the mechanism.

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Ma, Zihan, and Ziwei Lin. "The classification of human brain tumors with machine learning." Journal of Physics: Conference Series 2580, no. 1 (September 1, 2023): 012033. http://dx.doi.org/10.1088/1742-6596/2580/1/012033.

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Abstract This paper aims to report human brain tumor classification based on machine learning. Brain tumors have long been regarded as one of the deadliest tumors. Conventionally, without the assistance of automation tools, brain tumor diagnosis is a skill-demanding work for the doctors and a time-consuming burden on the medic system. Applying machine learning to clinical medicine and classifying brain tumors enables physicians to increase their diagnosis correctness and allows the health system to treat more patients. This paper covers the methods used in the research: the dataset, network models, algorithm, and implementation. The experiment results and discussion section follow this. Focusing on comparing and discussing convolutional neural networks’ performance and resource consumption under different network settings and network models. In the experiment, by feeding the MRI images to the network, the network automates the results indicating whether a tumor is detected in the image and classifies the underlying tumor. The experiment results indicate Machine Learning’s great accuracy of 93.38 percent in classifying brain tumors and the significant correlations between the model’s performance and resource cost, and network settings as well as model complexity.

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Zuriati, Z., A. R. Supriyatna, and O. Arifin. "Design and Development of Feeding Automation System and Water Quality Monitoring on Freshwater Fish Cultivation." IOP Conference Series: Earth and Environmental Science 1012, no. 1 (April 1, 2022): 012077. http://dx.doi.org/10.1088/1755-1315/1012/1/012077.

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Abstract Feeding is one of the most critical aspects of freshwater fish farming in order to get optimal aquaculture outcomes. It has been widely acknowledged that feeding is often done directly by cultivators, who distribute the feed by employing hand. This common strategy can result in two outcomes. The first outcome is an increase in feed costs owing to excessive feeding, while the second outcome is an increase in feed costs due to excessive feeding. Overfeeding, as a matter of a fact, may lead to the result in leftover feed that is not devoured by the fish, contaminating the pond water and disrupting the pH stability of the pond water. In addition, the second effect that may occur is a shortage of nutrition and nutrients in fish, which can lead to poor fish development. Another issue in aquaculture is the high mortality rate of fish, which actually contain several reasons, one of which is poor water quality, which is not conducive to maximal fish growth and development. Cultivators must thus regularly examine the quality of pond water, specifically the pH of pond water. In light of these concerns, we require a system that can assist farmers in controlling feed scheduling, determining the amount of feed required based on the age of the fish, and monitoring water quality. The device in question is an automated fish feeding and water quality monitoring system. This automated solution has shown to provide a number of benefits. The benefit is that feeding can be scheduled, the amount of feed can be changed according to the age and demands of the fish, and the pond water quality, in this case the pH of the water, can be automatically monitored. Further, the research was carried out at different stages. Planning and data gathering, needs analysis, implementation, and system testing were all aspects of the research. The RTC sensor, pH sensor, and temperature sensor were all employed in the automation system. The RTC sensor was utilized to time the feeding schedule for the fish. The pH sensor detected the pH value of the pool water, while the temperature sensor detected the temperature of pool water. The data collected from the three sensors was then processed by the NodeMCU ESP8266 microcontroller. The NodeMCU ESP8266 microcontroller chip houses the system’s logic and software instructions. The data of the sensor was transferred and recorded to a Google spreadsheet, where it was utilized as an indication to control actuators such as servo motors and relays. Further more, the fish feed was opened and closed by utilizing a servo motor. The pH pump was turned on and off using the relay as a switch. This pH pump contained fluids to keep the pH levels in the water stable. Through employing NodeMCU ESP8266 microcontroller, this study has revealed to be able to create an automated system for feeding and monitoring water quality. The automation system then was able to perform the feeding activity in accordance to schedule set, and also was able to perform it according to the specified amount of feed. In addition, the quality of the pond water was also able to be monitored.

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Zhang, Zhiyao, Yueyao Tian, Shujuan Chang, and Lei Tian. "Fabricate the Auto-aquaculture Structure with Android Monitoring System." International Journal of Advanced Network, Monitoring and Controls 8, no. 1 (January 1, 2023): 83–91. http://dx.doi.org/10.2478/ijanmc-2023-0049.

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Abstract Based on the Android monitoring system, the automated fish feeder has been developed. The system provides a convenient and reliable solution for fish farmers. This system includes a fish feeder that distributes food at predetermined intervals. The Android application allows farmers to monitor and control the feeding process remotely. The application displays the current feeding schedule. At the same time, the users can adjust the frequency and amount of food dispensed. The alarm function can send the notification information to the farmer’s mobile phone if the feeder experiences any issues or requires maintenance. By automating the feeding process and providing real-time monitoring, the system can help farmers optimize fish growth and health while reducing the time and effort required for artificial feeding.

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Skripko, Ludmila Petrovna, and Anastasia Andreevna Skripko. "AUTOMATION OF CLOSED WATER SUPPLY SYSTEM FOR AQUATIC ORGANISMS." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2021, no. 3 (July 30, 2021): 49–55. http://dx.doi.org/10.24143/2072-9502-2021-3-49-55.

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The article describes the automated closed water supply system based on industrial controllers OWEN, which allows creating the necessary fish habitat, increasing the population growth rate, rational use of production areas, conducting experiments on fish breeding, improving their characteristics. The need to develop the different modes of the system operation, in particular, temperature modes, oxygen concentration levels, feeding periods, etc., was taken into account when creating a software package written in the programming language FBD. The developed system includes lower, middle and upper levels. Control over the operation of the closed water supply system is carried out by monitoring. Fish feeding process is automated. Water purification is carried out in the non-stop regime, which decreases the amount of water used, lowers the costs and meets the principles of rational use of natural resources protecting the environment. It is possible to create the necessary dynamic modes of the system for the correct development of embryos and the effective development of various fish species and the possibility of using laser radiation of the required power. The system is controlled by a personal computer using the MasterSCADA package

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Li, Jingquan, and Liang Guo. "Design and Analysis of Powder Vertical Spiral Feeding Based on EDEM." Academic Journal of Science and Technology 4, no. 2 (January 4, 2023): 34–37. http://dx.doi.org/10.54097/ajst.v4i2.3891.

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In order to solve the problems of low automation degree of micro-high-precision powder addition in the laboratory, large influence of human factors and high labor cost, a set of screw feeding and weighing integration device is designed to realize the automatic addition of powder agent, the mechanical structure and speed of screw feeding are closely related to the accuracy of powder addition, and the discrete element method (EDMEM) is used to simulate spiral powder feeding at different speeds, and the simulation analysis shows that the spiral speed is positively correlated with the motion speed of particles. The spiral velocity is inversely correlated with the density of the particles.

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Feiglin, Marc N., Stephen Skwish, Michael Laab, and Andreas Heppel. "Implementing Multilevel Dynamic Scheduling for a Highly Flexible 5-Rail High Throughput Screening System." Journal of Biomolecular Screening 5, no. 1 (February 2000): 39–47. http://dx.doi.org/10.1177/108705710000500108.

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As automation solves the bottleneck involved in drug screening, new bottlenecks present themselves. Some of these bottlenecks include sample management, hit picking and confirmation, and reagents lost as a result of incomplete runs. To keep up with the demands of a large HTS department, scientists spend a disproportionate amount of time simply feeding these systems with samples and reagents. Automating the sample management functions directly on the screening systems would solve this problem. With the use of online data analysis, an integrated sample store permits automated hit picking and confirmation. In addition to these issues, other bottlenecks are often caused by instrument malfunctions. A single lost run can now mean a loss of hundreds of plates and the reagents associated with their testing. A system was designed to include four assaying systems that are fed by an automated online sample repository system. Redundancy between the assaying systems allows for an extra level of error handling in case of a malfunction. The control of such a system requires a sophisticated scheduler/controller software package capable of coordinating the interaction between multiple systems and reacting to changes in the robotic environment in realtime. This paper discusses the design of the system as well as the requirements and selection of an appropriate scheduler/controller package.

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Chen, Bing Ming, and Feng Xin Yang. "The Application of Air Pickax in Quicklime Feeding System." Applied Mechanics and Materials 33 (October 2010): 679–82. http://dx.doi.org/10.4028/www.scientific.net/amm.33.679.

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To solve the problem of unsmooth lime tank feeding which affects waste water treatment, in this paper, we take air pickax as a vibrator to improve the structure and the operation technology of the quicklime baiting system. After testing, we reach the expected effect and the standard. Only by controlling the program on HMI, the improved system can meet the requirement of normal emulsion distribution production and the automation technology. Meanwhile, it guarantees that the uniformity, continuity and stability of the amount of the lime tank feeding to improve productivity.

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Mishra, Ashish, Sarvgya Yadav, Shweta Singh, Vineet Pandey, Vishal Dwivedi, and Deepti Ojha. "IOT Based Automatic Water Container Filler Using Arduino." International Journal of Innovative Science and Research Technology 5, no. 6 (June 27, 2020): 370–75. http://dx.doi.org/10.38124/ijisrt20jun275.

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The objective of our project is to design, develop and monitor “Automatic Water Container Filler using Arduino”. This work provides with a lot of benefits like low power feeding, low functioning cost, less care, accuracy and many more. This project is based on automation and is a vast application IOT concept. A prototype has been developed to illustrate the project. Feeding the container in hand to hand is the main task that is carried out by a machine and this process is commonly used by many Robot.

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Li, Yan Rong, Zong Wei Niu, and Xiao Peng Sun. "Development of Sheet Material Stamping Automatic Feeding and Pick-Up Device." Advanced Materials Research 139-141 (October 2010): 1915–18. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.1915.

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In stamping production the traditional manual feeding and pick-up manner can lead to potential safety problem. The automatic feeding and automatic pick-up device can ensure the production safety and ease workers’ labor intensity. A kind of automatic feeding and automatic pick-up device and its control system are designed. The configuration, function and working principle of the mechanism were described. Hydraulic system was taken as power supply. Siemens S7-200 was adapted as the center of control system, Hall-effect switch sensor CS1020 was used to detect the position of components. Control theory was studied and programmed. The device described in this paper can realize stamping automatic. Adjusting the position and number of sensors can realize the feeding and pick-up automation of all kind of workpiece, make the system has flexibility and suit the change of production.

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Lu, Qianhai, Lingfei Kong, Guangyu Peng, Wang Jia, Sun Jin, Chenyu Dai, and Qianxiang Zhu. "Algorithm for Automatic Rod Feeding and Positioning Error Compensation for Underground Drilling Robots in Coal Mines." Sensors 23, no. 17 (August 30, 2023): 7530. http://dx.doi.org/10.3390/s23177530.

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In the pursuit of automating the entire underground drilling process in coal mines, the automatic rod feeding technology of drilling robots plays a crucial role. However, the current lack of positional accuracy in automatic rod feeding leads to frequent accidents. To address this issue, this paper presents an algorithm for compensating positioning errors in automatic rod feeding. The algorithm is based on a theoretical mathematical model and manual teaching methods. To enhance the positioning accuracy, we first calibrate the pull rope sensor to correct its measurement precision. Subsequently, we establish a theoretical mathematical model for rod feeding positions by employing spatial coordinate system transformations. We determine the target rod feeding position using a manual teaching-based approach. Furthermore, we analyze the relationship between the theoretical rod delivery position and the target rod delivery position and propose an anisotropic spatial difference compensation technique that considers both distance and direction. Finally, we validate the feasibility of our proposed algorithm through automatic rod feeding tests conducted on a coal mine underground drilling robot. The results demonstrate that our algorithm significantly improves the accuracy of rod feeding positions for coal mine underground drilling robots.

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Tkach, V. V., A. I. Fenenko, S. A. Yaczko, and V. V. Bratishko. "Technical and technological ensuring for individual milk yield accounting and apportion cow’s feeding." https://journal.imesg.gov.ua, no. 11(110) (2020): 130–39. http://dx.doi.org/10.37204/0131-2189-2020-11-15.

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Annotation Purpose. Improving the efficiency of the milk production process by developing automatic technical means for individual milk accounting and targeted cows feeding. Methods. Generalization of world experience in creating means forindividual milk accountingand dosed issuance of concentrated feeds. Experimental studies based on general mechanics principles. Results. The world experience of technical and technological support of monitoring individual cow’s productivity is generalized. The parameters of the technological process of targeted cows feeding are substantiated. The results of experimental researches and industrial check of technical means for individual milk accounting and dosed delivery of concentrated fodder are given. Conclusions. As a result of the research, automatic technical means were developed for monitoring individual milk yield and dosed distribution of concentrated feed, which makes it possible to create a targeted feeding system for cows on their basis. Keywords: automation of milking, milk flow sensor, feed dispenser, machine milking, cow feeding, individual milk accounting.

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Wijaya, Komang Martadana, I. Nyoman Piarsa, and Putu Wira Buana. "Design and Development Automatic Fish Feed Measuring and Feeding System Based on Internet of Things." Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) 11, no. 2 (August 28, 2023): 115. http://dx.doi.org/10.24843/jim.2023.v11.i02.p06.

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This research aims to design and implement an IoT-based automated fish feeding and dosing system to improve the efficiency of the feeding process through automation. The components used include the ESP32 microcontroller, RTC sensor, ultrasonic sensor, voltage sensor, stepper motor, LCD, DC motor, and relay. The system performs dosing and feeding based on user-defined schedules. Based on the research results, the system successfully monitors and controls the dosing and feeding process of the fish automatically. However, the overall success rate of the system is only 70%, with an average error rate of 1.36% for the voltage sensor and 1.33% for the ultrasonic sensor. The battery experiences an average hourly decrease of 0.19V during system operation. The system faced challenges such as relying on Wi-Fi connection to connect to the Firebase server, insufficient battery capacity, and the unreliability of the stepper motor for dosing purposes.

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DeVries, Trevor. "187 Utilizing automation to improve efficiency, health, and production in the dairy industry." Journal of Animal Science 97, Supplement_3 (December 2019): 22. http://dx.doi.org/10.1093/jas/skz258.042.

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Abstract The dairy industry has an increasing availability of equipment that is readily available for the automation of management tasks, including milking and feeding, as well as the monitoring of dairy cow behavior. Such automation not only has the ability to improve production and time efficiency on farm, but also increases our ability to monitor individual cows. Rapid adoption of automated (robotic) milking systems (AMS) is a good example of such benefits. Producers who have adopted this technology suggest they gain more time flexibility, find work to be less stressful and physically demanding, and report improved quality of their own life as well as that of their cows. At the same time, adoption of AMS may be associated with improvements in cow health and productivity. Similar findings apply for the adoption of automated milk feeders for dairy calves. The adoption of automated milk feeders has been done in effort to provide higher milk allowances, and thus raise healthier and better growing calves, reduce labor, and improve working conditions on farm. While less studied, automation in feeding of lactating cows also holds much promise for improving feeding accuracy and precision; thus not only reducing labor needs, but also having positive effects on cow production and efficiency. Finally, there is also rapid adoption of automated technologies for individual behavioral monitoring of dairy cows. These technologies have widely been adopted for estrus detection. In addition, they are also useful for detection of health disorders, both in occurrence and in advance of clinical symptoms. This, in turn, allows producers to identify and implement prevention and treatment protocols at earlier time points. It is anticipated that in the future such behavioral monitoring will play a larger role in terms of informing management decisions on farm.

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Erzurumlu, Dursun Yenal, and Burak Şen. "Hayvancılık İşletmelerinde Yemleme Robotu Operasyonu ve İşgücü Analizi." Turkish Journal of Agriculture - Food Science and Technology 8, no. 5 (May 29, 2020): 1058–66. http://dx.doi.org/10.24925/turjaf.v8i5.1058-1066.3253.

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In today’s conditions, one of the most important problems that faced by livestock enterprises and operators is providing of qualified and reliable labour and the cost problems caused by this to increase the capacity of the enterprise. In parallel, labour force, time and cost problems related to feed preparation and feed distribution are important output items for the enterprises. Feeding process in animal livestock has an important place in daily routine. Used feed, dispatch and management of it is one of the most important factors that affecting animal health and enterprise yield. In this study, considering the importance of the situation, provided operational knowledge about “feeding robot” which will can be a solution for labour force, time and herd management problems and which is not widely used and not known yet in our country, effects on herd management were defined and labour force and time analysis were performed as result of comparison with conventional feed preparation and distribution systems. Most important of the results that is compared to conventional systems with automation provided by the feeding robot provided %75 saving as labour force, 13.75 times saving as time input, especially in high capacities enterprise. In addition to this, it is another important result that is a support factor for other automation works such as milking robot used in modern enterprises and has an integral effect as herd management.

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Luo, Bing Yang, Fan Du, and Yi Min Mo. "Design of the Proportional Feeding System of Raw Mill." Advanced Materials Research 201-203 (February 2011): 1586–89. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.1586.

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A raw mill’s production line is to grind the raw material mixed with limestone, clay and basalt of certain proportion; it decides the quality of the cement clinker. The production efficiency and quality can be promoted by precisely controlling the proportion of the three raw materials and feeding automatically. The system’s controller is S7-400, and the measurement is done by the rotor scale produced by SHENCK. The variable speed device (VSD) of the feeder was controlled by the flow through the PID controller to realize the precise proportion. Moreover, the proportion can be set and the feeding quantity, the producing process can be monitored by the position machine (Win CC), to achieve production automation.

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Liu, Yue Hui, Wen Xue Liu, and Gen Li Shan. "The Research and Development of a New Type of Metal Wire-Buckling Machine." Advanced Materials Research 490-495 (March 2012): 793–96. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.793.

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Designing of a new type of metal wire-buckling machine, introducing the overall structure, operational principle and control flow of the equipment. The machine can realize the feeding, straightening, cutting off, shaping, returning material procedures of the metal wire automatically, with features of high degree of automation, compact structure, good quality and high efficiency.

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Li, Yumei, Jixue Xiao, Yawei Meng, and Jia You. "Overview of ecology and automation status of pig breeding." IOP Conference Series: Earth and Environmental Science 1171, no. 1 (April 1, 2023): 012060. http://dx.doi.org/10.1088/1755-1315/1171/1/012060.

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Abstract The mass production of pigs will affect the ecological environment around the pig farm. It requires hard work and a lot of manpower and material resources. This paper investigates the ecological environment status of pig manure cleaning and treatment, antibiotic and nitrogen and phosphorus treatment in manure, and gas pollution treatment in pig farms. The development of pig house environmental monitoring and pig farm feeding automation is reviewed. It is pointed out that the research on the cleaning and disposal methods of pig excretion pollutants, the integration of these methods, and the automation and intelligence of pig breeding will become the main research trend of pig breeding.

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Leberle, Urs, and Jürgen Fleischer. "Automated Modular and Part-Flexible Feeding System for Micro Parts." International Journal of Automation Technology 8, no. 2 (March 5, 2014): 282–90. http://dx.doi.org/10.20965/ijat.2014.p0282.

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In the assembly, efficient part feeding is a decisive factor for a successful automation. Therefor an automated modular and part-flexible feeding system for micro parts on the basis of piezoelectric vibratory conveyors has been developed at the wbk Institute of Production Science. Very different parts can be conveyed, positioned and partly be rotated around their vertical axis by the system. The sliding conveyance offers also the possibility to feed extremely delicate parts. In this article the design and the commissioning results of the system are presented. In the end an outlook is given on future work to increase productivity and efficiency of the system.

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Beaver, Ian, and Abdullah Mueen. "On the Care and Feeding of Virtual Assistants: Automating Conversation Review with AI." AI Magazine 42, no. 4 (January 12, 2022): 29–42. http://dx.doi.org/10.1609/aimag.v42i4.15101.

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With the rise of intelligent virtual assistants (IVAs), there is a necessary rise in human effort to identify conversations containing misunderstood user inputs. These conversations uncover error in natural language understanding and help prioritize improvements to the IVA. As human analysis is time consuming and expensive, prioritizing the conversations where misunderstanding has likely occurred reduces costs and speeds IVA improvement. In addition, less conversations reviewed by humans mean less user data are exposed, increasing privacy. We describe Trace AI, a scalable system for automated conversation review based on the detection of conversational features that can identify potential miscommunications. Trace AI provides IVA designers with suggested actions to correct understanding errors, prioritizes areas of language model repair, and can automate the review of conversations. We discuss the system design and report its performance at identifying errors in IVA understanding compared to that of human reviewers. Trace AI has been commercially deployed for over 4 years and is responsible for significant savings in human annotation costs as well as accelerating the refinement cycle of deployed enterprise IVAs.

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Von Borstel Luna, Fernando D., Edgar de la Rosa Aguilar, Jaime Suarez Naranjo, and Joaquin Gutierrez Jaguey. "Robotic System for Automation of Water Quality Monitoring and Feeding in Aquaculture Shadehouse." IEEE Transactions on Systems, Man, and Cybernetics: Systems 47, no. 7 (July 2017): 1575–89. http://dx.doi.org/10.1109/tsmc.2016.2635649.

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Beaver, Ian, and Abdullah Mueen. "On the Care and Feeding of Virtual Assistants: Automating Conversation Review with AI." AI Magazine 42, no. 4 (January 18, 2022): 29–42. http://dx.doi.org/10.1609/aaai.12024.

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With the rise of intelligent virtual assistants (IVAs), there is a necessary rise in human effort to identify conversations containing misunderstood user inputs. These conversations uncover error in natural language understanding and help prioritize improvements to the IVA. As human analysis is time consuming and expensive, prioritizing the conversations where misunderstanding has likely occurred reduces costs and speeds IVA improvement. In addition, less conversations reviewed by humans mean less user data are exposed, increasing privacy. We describe Trace AI, a scalable system for automated conversation review based on the detection of conversational features that can identify potential miscommunications. Trace AI provides IVA designers with suggested actions to correct understanding errors, prioritizes areas of language model repair, and can automate the review of conversations. We discuss the system design and report its performance at identifying errors in IVA understanding compared to that of human reviewers. Trace AI has been commercially deployed for over 4 years and is responsible for significant savings in human annotation costs as well as accelerating the refinement cycle of deployed enterprise IVAs.

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Chen, Du, Feng Kang, Qing Yuan Zhu, and Shu Mao Wang. "Study on Combine Harvester Speed Control Based on Optimum Threshing Power Consumption Model." Applied Mechanics and Materials 130-134 (October 2011): 1911–14. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.1911.

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Combine harvester have to be operated in a wide range of field condition which may induce varying feeding rate. Forward speed is a main variable to control the feeding rate of combine harvester for high efficiency. In this study a control strategy based on optimum threshing power consumption model was developed and integrated into a speed control system for combine harvester automation. A conventional self-propelled combine harvester (Xinjiang-II) was equipped with multiple sensors to collect online information, including forward speed, threshing drum torque and speed. Forward speed was then adjusted by an electric-hydraulic unit based on designed PID controller to achieve an optimum range of threshing power consumption. Field test was conducted to evaluate the performance of the controller under variable feeding rate condition. From obtained results, the controller can improve the efficiency of tested machine during field operation.

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Aydemir, Emre, and İnci Bilge. "Automation Applications in Integrated Animal Production System." Turkish Journal of Agriculture - Food Science and Technology 8, no. 3 (March 18, 2020): 643. http://dx.doi.org/10.24925/turjaf.v8i3.643-644.3133.

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In livestock enterprises, with the developing technology, the use of automation instead of control with manpower has become widespread. With the use of automation, it provides easy and reliable production, healthy product, decrease of labor force, prevention of economic losses, periodic and systematic operation and keeping data record regularly. In this way, it is possible to evaluate all records of animal production in digital environment. Control element (PC, PLC, PIC, Microprocessor, Electronic Cards), Activation Element (Motors, Cylinders, motion elements, etc.), Process (Production, temperature, control, chemical, events, etc.), Adjustment in automation used in animal husbandry Element (Acceleration, Angle, Speed, Flow, Encoders, Force, Load, Price, Pressure, Temperature, Slope, Torsion, Vibration Measurement Elements). Thanks to the intelligent sensors and controllers of these elements, feed and water of animals are recorded from central computers in automation control. In the studies, S7-300 PLC was used to carry out the general operation and collect the data. In addition, SCADA is used for central system supervision and control, data collection and storage, irrigation and feeding, warning and warning for security. In this study, it is aimed to give information about the use of automation in industrial animal husbandry enterprises.

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Han, Liang, Li Yu Wang, and Guo Ping Hu. "A Study on the Machine Vision Assisted Vibratory Feeding System." Applied Mechanics and Materials 220-223 (November 2012): 1377–80. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.1377.

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Vibratory feeding is the most significant approach for parts orientation and feeding in production; the process of production automation has been seriously hindered due to the problems with low feeding efficiency, high jamming rate. This project combines machine vision and vibratory feeding technology in substitute for the currently used mechanical orientation mechanism, in order to automatically recognize work pieces of different size, shape and color. The special vibratory feeder and frame are designed. According to the system work requirement, in the thesis, the adjustable light source and illumination system are designed, and the CCD camera and optical lens are chosen. The pneumatic actuator is also designed with the microcomputer as the controller. The area, perimeter, dispersion and invariant moment parameters are used in parts type identification. The image centroid is used to confirm parts position. By using the Hough transform, the image edge can be extracted to get the deflection angle. By using Matlab, the image can be captured, processed, analyzed and judged, meanwhile, communicate with actuator and control it.

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Romano, Elio, Massimo Brambilla, Maurizio Cutini, Simone Giovinazzo, Andrea Lazzari, Aldo Calcante, Francesco Maria Tangorra, et al. "Increased Cattle Feeding Precision from Automatic Feeding Systems: Considerations on Technology Spread and Farm Level Perceived Advantages in Italy." Animals 13, no. 21 (October 31, 2023): 3382. http://dx.doi.org/10.3390/ani13213382.

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Automation reduces the impact of farming on climate change and helps farmers adapt to its financial impact. Automatic feeding systems (AFSs) increase the ruminant’s feeding precision and ease operators’ workload. Such systems exist on a spectrum, requiring varied levels of operator support and installation complexity. A recent survey on farmers pointed out that those already running an AFS and those willing to buy one appreciate its ease of use, the resulting animal welfare, and the resulting overall benefits (increased production, farm profitability, and reduced feed waste). Whether technologically complex or not, studies have confirmed the benefits that farmers perceive to be underlying the remarkable reduction in the environmental impact of feeding operations (AFSs are electrically powered), the increase in animal welfare resulting from reduced conflicts around accessing the feed bunk, and the constant availability of fresh feed. However, their introduction should follow accurate and holistic structural and economic planning for existing and newly built facilities. The availability of public subsidies plays an essential role in pushing farmers to adopt the most modern digital technologies, whose benefits may even increase when farmers couple them with interconnected sensors to monitor animals’ physiological states.

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Niu, Shu Guang, Lin Xue, and Gui Yuan Zhou. "Study of Elevator Flexible Sheet Metal Processing Production Line Based on Open CNC System." Applied Mechanics and Materials 620 (August 2014): 364–67. http://dx.doi.org/10.4028/www.scientific.net/amm.620.364.

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In order to improve the level of automation of elevator flexible sheet metal processing production line, flexible sheet metal processing production line based on an open architecture CNC system is proposed. The basic idea of the project is combining CNC bending machine, roller conveyors, robotic welding and other general processing equipment through reasonable project, supplemented by the necessary gauge, mobile unit, feeding positioning equipment, according to the special requirements of sheet metal processing, so that automation of elevator sheet metal production can be achieved, quality of sheet metal processing improved and production costs reduced. In all, the development of the production line can reduce our dependence on labor in the Production and processing of sheet metal.

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Saidatin, Naili, S. Nurmuslimah, and Bagus P. "A Design Remote Control System to Feed Birds Using ESP8266." International Journal of Recent Technology and Applied Science 2, no. 2 (September 27, 2020): 81–90. http://dx.doi.org/10.36079/lamintang.ijortas-0202.128.

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Keeping lovebirds at home becomes one of hobbies that is fascinating to some people. Keeping them as pets means educate us to be regular people, particularly related to the process of food provision. Innovation on feeding bird is required such as automatic feeding which can be controlled from far areas. It will be very beneficial when the lovebird keepers are not at home. Therefore, this study develops at designing an automatic system for feeding birds completed with remote control. For this reason, the researcher used ESP8266 connected to NODEMCU as the hardware and BLYNK server as the control bridge of internet. The data would then be transmitted from smartphone to esp8266 system to control the feeding process. In the context of feeding process, the researcher used RTC-clock owned by BLYNK server to substitute RTC as the hardware. Automation system of food provision was carried out by synchronizing the data of hours from the users. The research data were used to design feeder bucket which could give food around 7.2 - 52.8 grams and feeder bucket B for accommodating food about 6.2 - 48.3 grams. The results of control and connection via BLYNK server demonstrated that 90% data were connected. In terms of data accuracy, this automatic feeder could be accurately 100% successful in a certain time.

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Pradisthi, Allieffa Salsabilla, and Joko Aryanto. "Monitoring and Automation System for Bird Feeding and Drinking Based on Internet of Things Using ESP32." Advance Sustainable Science Engineering and Technology 5, no. 3 (October 31, 2023): 0230308. http://dx.doi.org/10.26877/asset.v5i3.17182.

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Birds are vertebrate animals characterized by feathers and wings. Their melodious sounds and colorful plumage make them a popular choice for bird breeders, which presents a promising business opportunity. Manual feeding and drinking requires farmers to feed and drink every day, which often results in delayed feeding and drinking or inconsistent dosing, causing birds to become susceptible to disease and death. Therefore, this study is intended to create an automated system for monitoring feed and drink at predetermined times utilizing the Internet of Things (IoT) concept. The system's schedule can be remotely accessed and monitored through a website, and it operates in real-time without requiring manual intervention. This allows farmers to monitor and provide birds with food and water even from a distance. The Internet of Things (IoT) system utilized in this research employs an ESP32 microcontroller as the primary controller, which connects to a Wi-Fi network. It features a servo motor designed to refill bird feeders and drinkers. Further, a mini pump is used to replenish water in the drinker based on the owner's predetermined schedule set via the application. The research concludes that the tool functions based on the input time on the website. The system sends notifications to the breeder's smartphone regarding successful feeding and drinking, with an error rate of less than 20% in system testing and over 80% accuracy in system functioning. The outcome is in the form of a tool dispensing feed and drink daily, in accordance with the breeder's specified hours

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Yuan, Lulu, Pawan Kumar, Mamookho Elizabeth Makhatha, Mohammed Wasim Bhatt, Abolfazl Mehbodniya, and Julian L. Webber. "Optimization Design of Micro-Motor Rotor Core Feeding Mechanical System Based on Electrical Automation." Electrica 22, no. 3 (September 26, 2022): 421–27. http://dx.doi.org/10.5152/electrica.2022.22042.

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Kurita, Hiroki, Michihisa Iida, Masahiko Suguri, and Ryohei Masuda. "Application of Image Processing Technology for Unloading Automation of Robotic Head-Feeding Combine Harvester." Engineering in Agriculture, Environment and Food 5, no. 4 (2012): 146–51. http://dx.doi.org/10.1016/s1881-8366(12)80011-5.

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Christian Layth, Nabeel Al-Rawi, and Alpen Adria. "IoT-Based System of Monitoring Realtime Air Quality with MQ135 and Automatic Chicken Feeding." Proceeding of The International Conference on Economics and Business 1, no. 1 (June 28, 2022): 24–30. http://dx.doi.org/10.55606/iceb.v1i1.103.

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IoT technology is useful for chicken farming to control the condition of the farm concerning some problems such as odour, temperature fluctuations and feeding time system. This study used MQ135 to detect ammonia odour level, DHT11 to check room temperature, and RTC3231 to regulate feeding time. The data obtained from the sensor was sent by wemos to the fire base and MySQL to be read on android so that it can be monitored directly by the breeder. When the ammonia level is above normal it will turn on the odour fan. If DHT11 reaches the value above 300C, it will turn on the cooling fan, and turn on the heating light when the temperature is below 250C. As RTC3231 sets the time at 07.00 and 14.00, the chicken feeder will automatically open to feed the chickens according to the time set. Table 1 and 2 show that the experiment obtained a value of 100% working well. This study succeeded in monitoring environmental conditions through Android and executing automatic feeding at the predetermined time. Thus, it can be concluded that the use of IoT technology for monitoring and feeding system automation in chicken farms is highly recommended.

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Oliveira, F. A., D. Argentim, P. K. Novelli, S. M. M. Agostinho, L. M. Agostinho, and C. A. Agostinho. "Automatic feeders for Nile tilapia raised in cages: productive performance at high feeding frequencies and different rates." Arquivo Brasileiro de Medicina Veterinária e Zootecnia 68, no. 3 (June 2016): 702–8. http://dx.doi.org/10.1590/1678-4162-7882.

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ABSTRACT The main goal of modern intensive fish farms should be to increase productivity at a low cost. The automation of fish feeding plays an important role in this scenario since it may improve feed efficiency and reduce organic waste emissions. The aim of this experiment was to provide basic information for the development of feeding techniques using automatic feeders. The experiment was done from September to December, with tilapia weighing 185g, fed 48 meals a day at 22 or 30 minute intervals, with feeding rates of 2, 3 and 4% of live weight. Eighteen 1m3 net cages equipped with automatic feeders were distributed in one pond. During the experimental trial the mean values for dissolved oxygen, pH and temperature were 3.20mg/l, 8.03 and 25.43°C, respectively. The highest average weight of 683.73g was achieved for fish treated with 4% of live weight at 30 minute intervals between meals. There was no difference for viscero-somatic index, demonstrating no alteration in the final carcass quality. These results demonstrate that a higher feeding rate added to efficient feed management can be used at the final stages of raising Nile tilapia in cages without compromising final fish productive quality.

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Dani Sasmoko, Reni Veliyanti, and Rozi Azwar Pradana. "IoT-Based System of Monitoring Realtime Air Quality with MQ135 and Automatic Chicken Feeding." Journal of Technology Informatics and Engineering 1, no. 2 (July 12, 2022): 16–24. http://dx.doi.org/10.51903/jtie.v1i1.136.

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IoT technology is useful for chicken farming to control the condition of the farm concerning some problems such as odour, temperature fluctuations and feeding time system. This study used MQ135 to detect ammonia odour level, DHT11 to check room temperature, and RTC3231 to regulate feeding time. The data obtained from the sensor was sent by wemos to the fire base and MySQL to be read on android so that it can be monitored directly by the breeder. When the ammonia level is above normal it will turn on the odour fan. If DHT11 reaches the value above 300C, it will turn on the cooling fan, and turn on the heating light when the temperature is below 250C. As RTC3231 sets the time at 07.00 and 14.00, the chicken feeder will automatically open to feed the chickens according to the time set. Table 1 and 2 show that the experiment obtained a value of 100% working well. This study succeeded in monitoring environmental conditions through Android and executing automatic feeding at the predetermined time. Thus, it can be concluded that the use of IoT technology for monitoring and feeding system automation in chicken farms is highly recommended.

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Setiawan, Kevin, Lukas Lukas, and MM Lanny Panjaitan. "Sistem Pemberi Makan dan Minum Pintar Pada Hewan Peliharaan Berbasis Website dan Aplikasi Android." Jurnal Elektro 16, no. 2 (January 15, 2024): 56–66. http://dx.doi.org/10.25170/jurnalelektro.v16i2.5136.

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Based on a survey by “Mars”, about 59% of dogs and 52% of cats weighed more than they should. This is the motivation of this research in designing a feeding and drinking automation for pets so that it is easier for owners to take care their pet's health diet, and so that owners don't have to worry about forgetting to feed their pets. To connect to the internet, ESP32 is used. The supporting components consist of load cell (weight sensor), three ultrasonic sensors (proximity sensor), servo motor and pump motor. These components are combined to carry out the function of feeding and drinking automatically. The device will run after being given an order via website or application. For the feeding system, the animal owner can provide input on the schedule, frequency and portion of feeding. While the drinking system, the owner can press the calibration button and the pause button. Tests are carried out on each sensor, to measure its accuracy and testing of the entire system is carried out to ensure all components work together to carry out their functions. The test results show that every hardware and software component has worked in accordance with the designed objectives.

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Alias, Muhammad Alif Azanuddin, Nur Athirah Mohd Taib, and Nurul Nadia Adnan. "Smart Bran Dispenser for Animal Husbandry Purpose." Malaysian Journal of Science Health & Technology 7, no. 1 (March 30, 2021): 56–61. http://dx.doi.org/10.33102/mjosht.v7i1.159.

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The creation of technology in this century changes people’s life. Technology plays an important role that benefits young people and has increased agriculture production’s efficiency and profitability. Innovative technology mainly involved in animal feeding automation is currently one of Smart Bran Dispensers’ new inventions. This project approaches an innovative animal husbandry management system to improve the agricultural system’s efficiency, particularly livestock nutrition and feed resources. The benefit of this project is to facilitate animal feeding for breeders, which can be remotely controlled and detected by a tracking module that transmits a signal to the user and informs them of the status of the bran dispenser through the Blynk server. NodeMCU ESP8266 and Arduino UNO were implemented as the main controller.

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Journal articles on the topic 'Feeding automatons'

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