Relevant bibliographies by topics / Crop

Academic literature on the topic 'Crop'

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Published: 4 June 2021
Last updated: 11 March 2023

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Journal articles on the topic "Crop"

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Zulauf, Carl, Gary Schnitkey, and Michael Langemeier. "Average Crop Revenue Election, Crop Insurance, and Supplemental Revenue Assistance: Interactions and Overlap for Illinois and Kansas Farm Program Crops." Journal of Agricultural and Applied Economics 42, no. 3 (August 2010): 501–15. http://dx.doi.org/10.1017/s1074070800003692.

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Farm-level data from Illinois and Kansas for the 1991-2007 crops are used to examine the interaction and overlap among crop revenue insurance, Supplemental Revenue Assistance (SURE), and Average Crop Revenue Election (ACRE). Compared with 75% Crop Revenue Coverage Insurance (75% CRCP), ACRE provides more payments and has a greater impact on minimum farm revenue for the Illinois farms. In contrast, for the Kansas farms, 75% CRCP has the greater impact. SURE's relative impact on the Illinois and Kansas farms depends on the metric. The overlap in payments from ACRE and 75% CRCP resulting from covering the same part of the revenue risk distribution is estimated to be less than 5% of ACRE payments. Several proposals for improving the farm safety net are discussed.
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Peterson, Todd Andrews, Charles A. Shapiro, and A. Dale Flowerday. "Rainfall and previous crop effects on crop yields." American Journal of Alternative Agriculture 5, no. 1 (March 1990): 33–37. http://dx.doi.org/10.1017/s0889189300003209.

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AbstractAfield study was conducted between 1972 and 1982 to compare the effects of previous crop on row crop yields under rainfed conditions in eastern Nebraska. The objectives were to determine the effects of fallow and three previous crops: corn (Lea. maysLJ, soybeans /Glycine max (L.) Mem], and grain sorghum /Sorghum bicolor (L.) Moench], on the growth and grain yield of the same crops. The study was conducted on a Sharpsburg silty clay loam (fine, montmorillonitic, mesicf Typic Argiudoll). Corn grain yield was most variable (C. V. 23.4percent) compared to soybean (C. V. 13.6percent) or grain sorghum (C. V. 9.5 percent) yields. Corn was also the most sensitive crop to previous crop effects. The range of treatment yields for each crop was 47 percent, 22 percent, and 11 percent of the overall means for corn, soybean, and sorghum, respectively. Previous crop affected yields for all crops, but the effects were not consistent across years. All crops produced highest yield following fallow. Yields of corn, soybean, and grain sorghum following fallow were 74, 25, and 10 percent higher than their respective monoculture yields. In years of average precipitation, a corn-soybean sequence produced the greatest yield. In years having above- or below-normal precipitation, a grain sorghum-soybean sequence produced the highest yield.
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Hill, Catherine M. "Crop Foraging, Crop Losses, and Crop Raiding." Annual Review of Anthropology 47, no. 1 (October 21, 2018): 377–94. http://dx.doi.org/10.1146/annurev-anthro-102317-050022.

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Crop foraging or crop raiding concerns wildlife foraging and farmers’ reactions and responses to it. To understand crop foraging and its value to wildlife or its implications for humans requires a cross-disciplinary approach that considers the behavior and ecology of wild animals engaging in this behavior; the types and levels of competition for resources between people and wildlife; people's perceptions of and attitudes toward wildlife, including animals that forage on crops; and discourse about animals and their behaviors and how these discourses can be used for expressing dissent and distress about other social conflicts. So, to understand and respond to conflicts about crop damage, we need to look beyond what people lose, i.e., crop loss and economic equivalence, and focus more on what people say about wildlife and why they say it.
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Borger, Catherine P. D., Abul Hashem, and Shahab Pathan. "Manipulating Crop Row Orientation to Suppress Weeds and Increase Crop Yield." Weed Science 58, no. 2 (June 2010): 174–78. http://dx.doi.org/10.1614/ws-09-094.1.

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Crop rows oriented at a right angle to sunlight direction (i.e., east–west within the winter cropping system in Western Australia) may suppress weed growth through greater shading of weeds in the interrow spaces. This was investigated in the districts of Merredin and Beverley, Western Australian (latitudes of 31° and 32°S) from 2002 to 2005 (four trials). Winter grain crops (wheat, barley, canola, lupines, and field peas) were sown in an east–west or north–south orientation. Within wheat and barley crops oriented east–west, weed biomass (averaged throughout all trials) was reduced by 51 and 37%, and grain yield increased by 24 and 26% (compared with crops oriented north–south). This reduction in weed biomass and increase in crop yield likely resulted from the increased light (photosynthetically active radiation) interception by crops oriented east–west (i.e., light interception by the crop canopy as opposed to the weed canopy was 28 and 18% greater in wheat and barley crops oriented east–west, compared with north–south crops). There was no consistent effect of crop row orientation in the canola, field pea, and lupine crops. It appears that manipulation of crop row orientation in wheat and barley is a useful weed-control technique that has few negative effects on the farming system (i.e., does not cost anything to implement and is more environmentally friendly than chemical weed control).
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Kozlova, Zoya V., and Vlada V. Kolocheva. "Influence of forage crop rotations on crop yields and phytosanitary conditions of soils in the Baikal region." E3S Web of Conferences 296 (2021): 01004. http://dx.doi.org/10.1051/e3sconf/202129601004.

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The article considers the practical aspects of ensuring the preservation of natural ecosystems based on the use of organic farming technologies. It presents the results of research in the forest-steppe zone of the Baikal region for 2011-2018. On the basis of the phytosanitary state of crops studying analysis, it was found that the correct alternation of crops in crop rotation suppresses the level of weeds, thereby not affecting the productivity of agricultural crops. The paper reveals the characteristics of agrophysical and water properties of gray forest soil, the influence of forage crop rotations with meadow clover on the yield of cultivated crops. According to the research results, the authors found that overseeding of legumes in the fields of forage crop rotations increases the average productivity by 16.6% in comparison with the control option. The influence of the aftereffect of perennial legumes in crop rotations increases the yield of grain fodder and silage crops by 20-31.8%. The crop rotation with two fields of meadow clover (crop rotation No. 3) was determined to be the best for all indicators.
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Łukowiak, R., W. Grzebisz, and P. Barłóg. "Magnesium management in the soil-crop system – a crop rotation approach." Plant, Soil and Environment 62, No. 9 (September 21, 2016): 395–401. http://dx.doi.org/10.17221/390/2016-pse.

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Angus, J. F., J. A. Kirkegaard, J. R. Hunt, M. H. Ryan, L. Ohlander, and M. B. Peoples. "Break crops and rotations for wheat." Crop and Pasture Science 66, no. 6 (2015): 523. http://dx.doi.org/10.1071/cp14252.

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Wheat crops usually yield more when grown after another species than when grown after wheat. Quantifying the yield increase and explaining the factors that affect the increase will assist farmers to decide on crop sequences. This review quantifies the yield increase, based on >900 comparisons of wheat growing after a break crop with wheat after wheat. The mean increase in wheat yield varied with species of break crop, ranging from 0.5 t ha–1 after oats to 1.2 t ha–1 after grain legumes. Based on overlapping experiments, the observed ranking of break-crop species in terms of mean yield response of the following wheat crop was: oats < canola ≈ mustard ≈ flax < field peas ≈ faba beans ≈ chickpeas ≈ lentils ≈ lupins. The mean additional wheat yield after oats or oilseed break crops was independent of the yield level of the following wheat crop. The wheat yield response to legume break crops was not clearly independent of yield level and was relatively greater at high yields. The yield of wheat after two successive break crops was 0.1–0.3 t ha–1 greater than after a single break crop. The additional yield of a second wheat crop after a single break crop ranged from 20% of the effect on a first wheat crop after canola, to 60% after legumes. The mean yield effect on a third wheat crop was negligible, except in persistently dry conditions. The variability of the break-crop effect on the yield of a second wheat crop was larger than of a first wheat crop, particularly following canola. We discuss the responses in relation to mechanisms by which break crops affect soil and following crops. By quantifying the magnitude and persistence of break-crop effects, we aim to provide a basis for the decision to grow continuous cereal crops, strategic rotations or tactically selected break crops. In many wheat-growing areas, the large potential yield increases due to break crops are not fully exploited. Research into quantifying the net benefits of break crops, determining the situations where the benefits are greatest, and improving the benefits of break crops promises to improve the efficiency of wheat-based cropping systems.
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Matthews, G. A. "Crop production and crop protection." Crop Protection 14, no. 8 (December 1995): 689–90. http://dx.doi.org/10.1016/0261-2194(95)90011-x.

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OERKE, E. C. "Crop losses to pests." Journal of Agricultural Science 144, no. 1 (December 9, 2005): 31–43. http://dx.doi.org/10.1017/s0021859605005708.

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Productivity of crops grown for human consumption is at risk due to the incidence of pests, especially weeds, pathogens and animal pests. Crop losses due to these harmful organisms can be substantial and may be prevented, or reduced, by crop protection measures. An overview is given on different types of crop losses as well as on various methods of pest control developed during the last century.Estimates on potential and actual losses despite the current crop protection practices are given for wheat, rice, maize, potatoes, soybeans, and cotton for the period 2001–03 on a regional basis (19 regions) as well as for the global total. Among crops, the total global potential loss due to pests varied from about 50% in wheat to more than 80% in cotton production. The responses are estimated as losses of 26–29% for soybean, wheat and cotton, and 31, 37 and 40% for maize, rice and potatoes, respectively. Overall, weeds produced the highest potential loss (34%), with animal pests and pathogens being less important (losses of 18 and 16%). The efficacy of crop protection was higher in cash crops than in food crops. Weed control can be managed mechanically or chemically, therefore worldwide efficacy was considerably higher than for the control of animal pests or diseases, which rely heavily on synthetic chemicals. Regional differences in efficacy are outlined. Despite a clear increase in pesticide use, crop losses have not significantly decreased during the last 40 years. However, pesticide use has enabled farmers to modify production systems and to increase crop productivity without sustaining the higher losses likely to occur from an increased susceptibility to the damaging effect of pests.The concept of integrated pest/crop management includes a threshold concept for the application of pest control measures and reduction in the amount/frequency of pesticides applied to an economically and ecologically acceptable level. Often minor crop losses are economically acceptable; however, an increase in crop productivity without adequate crop protection does not make sense, because an increase in attainable yields is often associated with an increased vulnerability to damage inflicted by pests.
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Ghutake, Ishita, Ritesh Verma, Rohit Chaudhari, and Vidhate Amarsinh. "An intelligent Crop Price Prediction using suitable Machine Learning Algorithm." ITM Web of Conferences 40 (2021): 03040. http://dx.doi.org/10.1051/itmconf/20214003040.

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Planning of crops for the next season has been a tedious task for the farmers as it is a difficult prediction about metrics of prices that their crop will fetch in a particular season which will be typically based on dynamic weather conditions. This leads to inaccurate prediction of crops’’ prices by farmers, and they happen to wrongly select the crops or in haste they happen to sell their crops early without storing and thus earning less than what the same crop would have fetched them in the future. This problem could be addressed by an ML model which will predict the prices of crops in advance showing the proper analysis of the crop and presenting their future scenario so that farmers can select the right crops to strategize crop production which involves crop selection, time of sowing deciding crop pattern and storage of harvested crops providing enough insights for predicting the appropriate price in the markets.
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Dissertations / Theses on the topic "Crop"

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Kufimfutu, Bakelana ba. "Crop planting pattern effects on crop and weed growth /." The Ohio State University, 1992. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487778663287222.

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Åström, Petter. "Cash crops vs food crops : A case study of household's crop choices in Babati District." Thesis, Södertörn University College, School of Life Sciences, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-2605.

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According to earlier research farmer's crop orientation in developing countries mainly depends on farm size, large-scale farmers prefer cash crop while small-scale farmers prefer subsistence crops. The first aim of this study is to see if this hypothesis can be applied on six households in Babati District in rural Tanzania. The second aim is to investigate if other factors than farm size affect crop portfolio choice and the final aim is to see if those crop portfolio models can be improved. A case-study research design and qualitative interviews are used. The primary data is based on a fieldwork that took place from the 18th of February until the 7th of March 2009 in the study area.

From a theoretical perspective the underlying assumptions of the Marcel Fafchamp's model Crop portfolio choice under multivariate risks is discussed in connection to the result of the study.

Interviews were made with six households of different farm size. The result of the study indicates that both small-scale and large-scale farmers are using cash crops. The fact that all crops can be used for selling, gives also small-scale farmers in season with higher prices, an opportunity to sell a large share of their crops. It's thereby not possible to state that large-scale farmers devote a larger share of their land for cash crop than small-scale farmers do.

 

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Subedi-Chalise, Kopila. "Impacts of Crop Residue and Cover Crops on Soil Hydrological Properties, Soil Water Storage and Water Use Efficiency of Soybean Crop." Thesis, South Dakota State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10265200.

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Cover crops and crop residue play a multifunctional role in improving soil hydrological properties, soil water storage and water use efficiency (WUE). This study was conducted to better understand the role of crop residue and cover crop on soil properties and soil water dynamics. The study was conducted at the USDA-ARS North Central Agricultural Research Laboratory, located in Brookings, South Dakota. Two residue removal treatments that include low residue removal (LRR) and high residue removal (HRR) were established in 2000 with randomized complete block design under no-till corn (Zea mays L.) and soybean (Glycine max L.) rotation. In 2005, cover crop treatments which include cover crops (CC) and no cover crops (NCC) were integrated into the overall design. Soil samples were collected in 2014, 2015 and 2016. Data from this study showed that LRR treatment resulted in lower bulk density (BD) by 7 and 9% compared to HRR in 2015 and 2016, respectively, for 0-5 cm depth. Similarly, LRR treatment significantly reduced soil penetration resistance (SPR) by 25% in 0-5 cm depth compared with HRR treatment. In addition to this, LRR treatment significantly increased soil organic carbon (SOC) concentrations and total nitrogen (TN) by 22 and 17%, respectively, in 0-5 cm. Similarly, CC treatment resulted in lower BD and SPR by 7% and 23%, respectively, in 0-5 cm depth in 2015 compared with NCC treatment. The LRR significantly increased soil water infiltration by 66 and 22% compared to HRR in 2014 and 2015, respectively. Similarly, the CC treatment significantly increased infiltration by 82 and 22% compared to the NCC in 2014 and 2015, respectively. The significant impact of a crop residue was observed on soil water retention (SWR) in 2014 and 2015 for the 0-5 cm depth. The LRR and CC treatments increased the soil volumetric moisture content (VMC) and soil water storage (SWS) on the surface 0-5 cm depth. However, the trend was not always significant during the growing season. The CC treatment significantly impacted the soybean yield by 14% and WUE by 13% compared with NCC treatment. Some interaction of residue by cover crops was observed on BD, SPR, VMC, and SWS, which showed that the use of cover crops with LRR can be beneficial in improving the soil properties.

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Ramirez, Almeyda Jacqueline <1985&gt. "Lignocellulosic Crops in Europe: Integrating Crop Yield Potentials with Land Potentials." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amsdottorato.unibo.it/7854/1/Tesi_J.Ramirez_2017_Lignocellulosic%20crops%20potentials%20in%20EU.pdf.

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Given the ambitious EU targets to further decarbonise the economy, it can be expected that the demand for lignocellulosic biomass will continue to grow. Provisioning of part of this biomass by dedicated biomass crops becomes an option. This study presents integrated approach for crop allocation based on land availability and crop requirements. The model analysis to investigate the potential extension of unused land and its suitability for lignocellulosic crops was carried out in 37 European countries at the NUTS3 level. The CAPRI model predicts future land use changes and was used as a basic input to assess the agricultural biomass potentials in Europe. It was then identified the total land resource with a post-modeling assessment for three different potentials to the year 2020 and 2030, according to sustainability criteria formulated in the Renewable Energy directive (RED). Furthermore, crop-specific suitability maps were generated for each crop based on the variability of biophysical factors such as climate, soil properties and topographical aspects. The yields and cost levels that can be reached in Europe with different perennial crops in different climatic, soil and management situations. The AquaCrop model developed by FAO was used and fed with phenological parameters per crop and detailed weather data to simulate the crop growth in all European Nuts 3 regions. Yield levels were simulated for a maximum and a water-limited yield situation and further converted to match with low, medium and high input management systems. The costs production was assessed with an Activity Based Costing (ABC) model, developed to assess the roadside Net Present Value (NPV) cost of biomass. The yield, crop suitability and cost simulation results were then combined to identify the best performing crop-management mix per region.
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Murphy, Donal Patrick Lee. "Crop structure and crop productivity in winter barley, (Hordeum sativum)." Thesis, University of Newcastle Upon Tyne, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.262202.

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Perkins, Seth A. "Crop model review and sweet sorghum crop model parameter development." Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/14037.

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Master of Science
Department of Biological and Agricultural Engineering
Kyle Douglas-Mankin
Opportunities for alternative biofuel feedstocks are widespread for a number of reasons: increased environmental and economic concerns over corn production and processing, limitations in the use of corn-based ethanol to 57 billion L (15 billion gal) by the Energy Independence and Security Act (US Congress, 2007), and target requirements of 136 billion L (36 billion gal) of renewable fuel production by 2022. The objective of this study was to select the most promising among currently available crop models that have the potential to model sweet sorghum biomass production in the central US, specifically Kansas, Oklahoma, and Texas, and to develop and test sweet sorghum crop parameters for this model. Five crop models were selected (CropSyst, CERE-Sorghum, APSIM, ALMANAC, and SORKAM), and the models were compared based on ease of use, model support, and availability of inputs and outputs from sweet sorghum biomass data and literature. After reviewing the five models, ALMANAC was selected as the best suited for the development and testing of sweet sorghum crop parameters. The results of the model comparison show that more data are needed about sweet sorghum physiological development stages and specific growth/development factors before the other models reviewed in this study can be readily used for sweet sorghum crop modeling. This study used a unique method to calibrate the sweet sorghum crop parameter development site. Ten years of crop performance data (Corn and Grain Sorghum) for Kansas Counties (Riley and Ellis) were used to select an optimum soil water (SW) estimation method (Saxton and Rawls, Ritchie et al., and a method that added 0.01 m m [superscript]-1 to the minimum SW value given in the SSURGO soil database) and evapotranspiration (ET) method (Penman-Montieth, Priestley-Taylor, and Hargraeves and Samani) combination for use in the sweet sorghum parameter development. ALMANAC general parameters for corn and grain sorghum were used for the calibration/selection of the SW/ET combination. Variations in the harvest indexes were used to simulate variations in geo-climate region grain yield. A step through comparison method was utilized to select the appropriate SW/ET combination. Once the SW/ET combination was selected the combination was used to develop the sweet sorghum crop parameters. Two main conclusions can be drawn from the sweet sorghum crop parameter development study. First, the combination of Saxton and Rawls (2006) and Priestley-Taylor (1972) (SR-PT) methods has the potential for wide applicability in the US Central Plains for simulating grain yields using ALMANAC. Secondly, from the development of the sweet sorghum crop model parameters, ALMANAC modeled biomass yields with reasonable accuracy; differences from observed biomass values ranged from 0.89 to 1.76 Mg ha [superscript]-1 (2.8 to 9.8%) in Kansas (Riley County), Oklahoma (Texas County), and Texas (Hale County). Future research for sweet sorghum physiology, Radiation Use Efficiency/Vapor Pressure Deficit relationships, and weather data integration would be useful in improving sweet sorghum biomass modeling.
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Schmitz, Austin. "Row crop navigation by autonomous ground vehicle for crop scouting." Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/36237.

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Master of Science
Department of Biological & Agricultural Engineering
Daniel Flippo
Robotic vehicles have the potential to play a key role in the future of agriculture. For this to happen designs that are cost effective, robust, and easy to use will be necessary. Robotic vehicles that can pest scout, monitor crop health, and potentially plant and harvest crops will provide new ways to increase production within agriculture. At this time, the use of robotic vehicles to plant and harvest crops poses many challenges including complexity and power consumption. The incorporation of small robotic vehicles for monitoring and scouting fields has the potential to allow for easier integration of robotic systems into current farming practices as the technology continues to develop. Benefits of using unmanned ground vehicles (UGVs) for crop scouting include higher resolution and real time mapping, measuring, and monitoring of pest location density, crop nutrient levels, and soil moisture levels. The focus of this research is the ability of a UGV to scout pest populations and pest patterns to complement existing scouting technology used on UAVs to capture information about nutrient and water levels. There are many challenges to integrating UGVs in conventionally planted fields of row crops including intra-row and inter-row maneuvering. For intra-row maneuvering; i.e. between two rows of corn, cost effective sensors will be needed to keep the UGV between straight rows, to follow contoured rows, and avoid local objects. Inter-row maneuvering involves navigating from long straight rows to the headlands by moving through the space between two plants in a row. Oftentimes headland rows are perpendicular to the row that the UGV is within and if the crop is corn, the spacing between plants can be as narrow as 5”. A vehicle design that minimizes or eliminates crop damage when inter-row maneuvering occurs will be very beneficial and allow for earlier integration of robotic crop scouting into conventional farming practices. Using three fixed HC-SR04 ultrasonic sensors with LabVIEW programming proved to be a cost effective, simple, solution for intra-row maneuvering of an unmanned ground vehicle through a simulated corn row. Inter-row maneuvering was accomplished by designing a transformable tracked vehicle with the two configurations of the tracks being parallel and linear. The robotic vehicle operates with tracks parallel to each other and skid steering being the method of control for traveling between rows of corn. When the robotic vehicle needs to move through narrow spaces or from one row to the next, two motors rotate the frame of the tracks to a linear configuration where one track follows the other track. In the linear configuration the vehicle has a width of 5 inches which allows it to move between corn plants in high population fields for minimally invasive maneuvers. Fleets of robotic vehicles will be required to perform scouting operations on large fields. Some robotic vehicle operations will require coordination between machines to complete the tasks assigned. Simulation of the path planning for coordination of multiple machines was studied within the context of a non-stationary traveling salesman problem to determine optimal path plans.
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Watt, J. "3D crop modelling." Thesis, University College London (University of London), 2013. http://discovery.ucl.ac.uk/1421425/.

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Crop models have become increasingly useful tools for understanding and implementing sus¬tainable agricultural techniques and as a way of accurately predicting crop yields for economists and policy decision makers. Using remotely sensed imagery can significantly reduce the effort required to obtain the in¬puts for crop models and can provide regular sets of observations throughout a growing season. Empirical models can be used to extract information regarding the crop from remotely sensed images but have well-documented limitations. Coupling a crop model with a radiative transfer model allows comparison between modelled and actual reflectance, across a range of potential crop model states. The potential difference observed can then allow for recalibration of the crop model. This technique enables the crop model to be updated throughout crop development and growth, increasing its accuracy at predicting the development of the crop. As the structure of the crop changes significantly during growth and development, affecting the remote sensing signal, a 3D structural model which can represent this change is required. This thesis presents work developing and re-parameterising an existing 3D crop model to make it more generic, as well as coupling it with a radiative transfer model. The crop model being re-parameterised is ADEL-wheat. Extensive field work spanning two growing seasons has been carried out to measure the phenological and structural differences that occurred during the growth and development of different genotypes of winter wheat. These observed differences, particularly in phenology, have been implemented within the model, and then used to test the impact on the remote sensing signal. The work shows that structural differences between genotypes tend to have a greater impact on the resulting modelled signal than phenological variation. The combined structural and radiative transfer modelling approach is shown to be very flexible and can be used to improve/augment existing crop modelling approaches.
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Potter, Mark. "Biochemical studies of tissue glucosinolates for improvement of canola (Brassica napus) as a disease break within the southern Australian cereal rotation /." Title page, contents and summary only, 1998. http://web4.library.adelaide.edu.au/theses/09PH/09php8678.pdf.

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Thesis (Ph.D) -- University of Adelaide, Depts. of Plant Science and Crop Protection, 1998.
Thesis (Ph.D.)--University of Adelaide, Depts. of Plant Science and Crop Protection, 1999? Bibliographical references: leaves 112-125.
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Arnet, Kevin Broc. "Cover crops in no-tillage crop rotations in eastern and western Kansas." Thesis, Manhattan, Kan. : Kansas State University, 2010. http://hdl.handle.net/2097/4086.

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Books on the topic "Crop"

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H, Latos Tomas, ed. Cover crops and crop yields. Hauppauge NY: Nova Science Publishers, 2009.

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Rasmussen, Henry. Crop dusters: "props in the crops". Osceola, WI, USA: Motorbooks International, 1986.

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Morrison, Yedda Mari. Crop. Berkeley: Kelsey St. Press, 2003.

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Introductory crop science. Boston, MA: Pearson Learning Solutions, 2014.

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1958-, Oerke E. C., ed. Crop production and crop protection: Estimated losses in major food and cash crops. Amsterdam: Elsevier, 1994.

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Fageria, N. K. Maximizing crop yields. New York: Marcel Dekker, 1992.

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Alberto, Alvarez Luis, and Paraguay. Ministerio de Agricultura y Ganadería., eds. Rubros complementarios para la diversificación de cultivos, por zonas ecológicas, en la región oriental del Paraguay. Asunción, Paraguay: Ministerio de Agricultura y Ganadería, 1993.

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Sivasankar, Shoba, Noel Ellis, Ljupcho Jankuloski, and Ivan Ingelbrecht, eds. Mutation breeding, genetic diversity and crop adaptation to climate change. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789249095.0000.

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Abstract This book presents reviews on the application of the technology for crop improvement towards food and nutrition security, and research status on mutation breeding and associated biotechnologies in both seed crops and vegetatively propagated crops. It also presents perspectives on the significance of next-generation sequencing and bioinformatics in determining the molecular variants underlying mutations and on emerging biotechnologies such as gene editing. Reviews and articles are organized into five sections in the publication: (1) Contribution of Crop Mutant Varieties to Food Security; (2) Mutation Breeding in Crop Improvement and Climate-Change Adaptation; (3) Mutation Induction Techniques for Enhanced Genetic Variation; (4) Mutation Breeding in Vegetatively Propagated and Ornamental Crops; and (5) Induced Genetic Variation for Crop Improvement in the Genomic Era. The contents of this volume present excellent reference material for researchers, students and policy makers involved in the application of induced genetic variation in plants for the maintenance of biodiversity and the acceleration of crop adaptation to climate change to feed a growing global population in the coming years and decades.
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Colin, Poulton, and Crop Post-Harvest Research Programme, eds. The Cash crop versus food crop debate. Chatham: Natural Resources International, 2001.

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Jacobi, Ingo. Crop production. Windhoek: Joint Presidency Committee, 2008.

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Book chapters on the topic "Crop"

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Gabrys, Beata, John L. Capinera, Jesusa C. Legaspi, Benjamin C. Legaspi, Lewis S. Long, John L. Capinera, Jamie Ellis, et al. "Crop." In Encyclopedia of Entomology, 1111. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_10092.

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Christou, Paul, and Roxana Savin. "Crop crop/cropping Science crop/cropping science and Technology Crop Technology , Introduction." In Encyclopedia of Sustainability Science and Technology, 2681–88. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_936.

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Christou, Paul, and Roxana Savin. "Crop crop/cropping Science crop/cropping science and Technology Crop Technology , Introduction." In Sustainable Food Production, 659–66. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5797-8_936.

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Farre, Gemma, Sonia Gomez-Galera, Shaista Naqvi, Chao Bai, Georgina Sanahuja, Dawei Yuan, Uxue Zorrilla, et al. "Biotechnology crop/cropping biotechnology and Nutritional Improvement crop/cropping nutritional improvement of Crops crop/cropping." In Encyclopedia of Sustainability Science and Technology, 1676–723. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_160.

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Farre, Gemma, Sonia Gomez-Galera, Shaista Naqvi, Chao Bai, Georgina Sanahuja, Dawei Yuan, Uxue Zorrilla, et al. "Biotechnology crop/cropping biotechnology and Nutritional Improvement crop/cropping nutritional improvement of Crops crop/cropping." In Sustainable Food Production, 280–327. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5797-8_160.

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Newell-McGloughlin, Martina. "Transgenic Crops transgenic crop , Next Generation transgenic crop breeding next generation." In Encyclopedia of Sustainability Science and Technology, 10732–65. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_165.

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Gatehouse, Angharad M. R., Martin G. Edwards, Natalie Ferry, and Micheal D. K. Owen. "Transgenic Crops transgenic crop , Environmental Impact transgenic crop breeding environmental impact." In Encyclopedia of Sustainability Science and Technology, 10713–32. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_240.

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Roy, Stuart J., and Mark Tester. "Increasing Salinity Tolerance crop/cropping salinity tolerance of Crops crop/cropping." In Encyclopedia of Sustainability Science and Technology, 5315–31. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_429.

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Newell-McGloughlin, Martina. "Transgenic Crops transgenic crop , Next Generation transgenic crop breeding next generation." In Sustainable Food Production, 1633–65. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5797-8_165.

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Gatehouse, Angharad M. R., Martin G. Edwards, Natalie Ferry, and Micheal D. K. Owen. "Transgenic Crops transgenic crop , Environmental Impact transgenic crop breeding environmental impact." In Sustainable Food Production, 1613–32. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5797-8_240.

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Conference papers on the topic "Crop"

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Trout, Thomas, and Jim Gartung. "Use of Crop Canopy Size to Estimate Crop Coefficient for Vegetable Crops." In World Environmental and Water Resources Congress 2006. Reston, VA: American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40856(200)297.

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Vorontsov, V. A. "Correct seeding of crops under various systems of basic tillage in the crop rotation." In Agrobiotechnology-2021. Publishing house of RGAU - MSHA, 2021. http://dx.doi.org/10.26897/978-5-9675-1855-3-2021-10.

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Studies conducted at the Tambov Research Institute of Agricultural Research have found that the systems of basic tillage had a significant impact on the contamination of cultivated crops in crop rotations. The use of a permanent surface tillage system in technological complexes of crop cultivation increases the contamination of crops. The traditional multi-depth dump and combined (dump-free) systems of basic tillage in crop rotations are the most effective agrotechnical techniques in clearing fields of weeds.
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Popchenko, M. I. "Legal regulation of crop seed with weed seeds in Canada." In Растениеводство и луговодство. Тимирязевская сельскохозяйственная академия, 2020. http://dx.doi.org/10.26897/978-5-9675-1762-4-2020-151.

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The quality control of crop seed lots for the content of weed seeds for sale in Canada, export or import is carried out the basis of two legislative acts: the Seed Regulations and the Weed Seeds Order. The Seed Regulations contain information about sampling of various crops and requirements for seeds depending on the culture and crop seeds class. The Weed Seeds Order contains list of divided into classes of noxious weed species, whose seeds are counted in seed lots of agricultural crops.
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Borin, A. A., A. E. Loshchinina, V. V. Evseev, and A. V. Kazidubov. "TILLAGE AND HERBICIDES, THEIR INFLUENCE ON THE WEED COMPONENT OF AGROPHYTOCENOSIS AND CROP YIELD." In Agrobiotechnology-2021. Publishing house of RGAU - MSHA, 2021. http://dx.doi.org/10.26897/978-5-9675-1855-3-2021-3.

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In stationary field crop rotation, treatment systems of different intensity of impact on the soil in combination with the use of herbicides were studied. An increase in weediness of crops by flat-cutting and shallow tillage was revealed in comparison with moldboard. The use of herbicides made it possible to reduce the weediness of crops, which contributed to an increase in the yield of crops in crop rotation.
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Buryakov, A. E., and O. V. Butkova. "ANALYSIS AND EVALUATION OF PRODUCTION AND SALES OF CROP PRODUCTS TO INCREASE THE EFFICIENCY OF AGRARIAN FORMATIONS." In INNOVATIVE TECHNOLOGIES IN SCIENCE AND EDUCATION. DSTU-Print, 2020. http://dx.doi.org/10.23947/itno.2020.166-170.

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The article presents the results of the analysis of the production and sale of crop products of an agro-industrial enterprise. As part of the study, the dynamics of production of the main types of products of the pilot enterprise was assessed. the calculation of the influence of factors on the gross yield of crop production and the influence of the structure of crops of agricultural crops on the volume of their production and on the amount of profit The analysis of profit and profitability of sales of crop production is carried out
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Pour, Majid Khak, Reza Fotouhi, and Pierre Hucl. "Development of a Mobile Platform for Wheat Phenotyping." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-24329.

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Abstract Designing and implementing an affordable High-Throughput Phenotyping Platform (HTPP) for monitoring crops’ features in different stages of their growth can provide valuable information for crop-breeders to study possible correlation between genotypes and phenotypes. Conducting automatic field measurements can improve crop productions. In this research, we have focused on development of a mechatronic system, hardware and software, for a mobile field-based HTPP for autonomous crop monitoring for wheat field. The system can measure canopy’s height, temperature, vegetation indices and is able to take high quality photos of crops. The system includes developed software for data and image acquisition. The main contribution of this study is autonomous, reliable, and fast data collection for wheat and similar crops.
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Zhang, Yanheng, and Chris Chu. "CROP." In the 2009 International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1687399.1687465.

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Mullis, Everett E. "CROP." In the 36th annual Southeast regional conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/275295.275361.

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Paixao, Matheus, Jens Krinke, Donggyun Han, and Mark Harman. "CROP." In ICSE '18: 40th International Conference on Software Engineering. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3196398.3196466.

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Banić, Nikola, Karlo Koščević, Marko Subašić, and Sven Lončarić. "CroP." In ICVISP 2020: 2020 4th International Conference on Vision, Image and Signal Processing. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3448823.3448829.

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Reports on the topic "Crop"

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Nair, Ajay, Brandon H. Carpenter, Jennifer L. Tillman, and Dana L. Jokela. Integrating Cover Crops in High Tunnel Crop Production. Ames: Iowa State University, Digital Repository, 2014. http://dx.doi.org/10.31274/farmprogressreports-180814-2392.

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Havlovic, Bernard J. Crop Season. Ames: Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-1114.

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Havlovic, Bernard J. Crop Season. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-2456.

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van de Zande, J. C., and M. M. S. ter Horst. Crop related aspects of crop canopy spray interception and spray drift from downward directed spray applications in field crops. Wageningen: Stichting Wageningen Research, Wageningen Plant Research, Business Unit Agrosystems Research, 2019. http://dx.doi.org/10.18174/514310.

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Dudkin, I. V., and T. A. Dudkina. Bioenergetic efficiency of growing crops in grain cultivating crop rotation. Курская государственная сельскохозяйственная академия, 2018. http://dx.doi.org/10.18411/issn1997-0749.2018-05-13-18.

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Van Dee, Kevin. 2000 Crop Season. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-1018.

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Pecinovsky, Kenneth T. 2000 Crop Season. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-109.

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Pecinovsky, Kenneth T. 2001 Crop Season. Ames: Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-2589.

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Van Dee, Kevin. 2001 Crop Season. Ames: Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-2604.

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Mallarino, Antonio P., Enrique Ortiz-Torres, and Kenneth T. Pecinovsky. Effects of Crop Rotation and Nitrogen Fertilization on Crop Production. Ames: Iowa State University, Digital Repository, 2005. http://dx.doi.org/10.31274/farmprogressreports-180814-138.

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