Academic literature on the topic 'Crop'
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Journal articles on the topic "Crop"
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.
Full textPeterson, 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.
Full textHill, 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.
Full textBorger, 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.
Full textKozlova, 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.
Full textŁukowiak, 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.
Full textAngus, 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.
Full textMatthews, 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.
Full textOERKE, 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.
Full textGhutake, 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.
Full textDissertations / Theses on the topic "Crop"
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.
Full textÅström, 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.
Full textAccording 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.
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.
Full textCover 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.
Ramirez, Almeyda Jacqueline <1985>. "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.
Full textMurphy, 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.
Full textPerkins, Seth A. "Crop model review and sweet sorghum crop model parameter development." Thesis, Kansas State University, 2012. http://hdl.handle.net/2097/14037.
Full textDepartment 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.
Schmitz, Austin. "Row crop navigation by autonomous ground vehicle for crop scouting." Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/36237.
Full textDepartment 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.
Watt, J. "3D crop modelling." Thesis, University College London (University of London), 2013. http://discovery.ucl.ac.uk/1421425/.
Full textPotter, 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.
Full textThesis (Ph.D.)--University of Adelaide, Depts. of Plant Science and Crop Protection, 1999? Bibliographical references: leaves 112-125.
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.
Full textBooks on the topic "Crop"
H, Latos Tomas, ed. Cover crops and crop yields. Hauppauge NY: Nova Science Publishers, 2009.
Find full textRasmussen, Henry. Crop dusters: "props in the crops". Osceola, WI, USA: Motorbooks International, 1986.
Find full textMorrison, Yedda Mari. Crop. Berkeley: Kelsey St. Press, 2003.
Find full textIntroductory crop science. Boston, MA: Pearson Learning Solutions, 2014.
Find full text1958-, Oerke E. C., ed. Crop production and crop protection: Estimated losses in major food and cash crops. Amsterdam: Elsevier, 1994.
Find full textFageria, N. K. Maximizing crop yields. New York: Marcel Dekker, 1992.
Find full textAlberto, 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.
Find full textSivasankar, 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.
Full textColin, Poulton, and Crop Post-Harvest Research Programme, eds. The Cash crop versus food crop debate. Chatham: Natural Resources International, 2001.
Find full textJacobi, Ingo. Crop production. Windhoek: Joint Presidency Committee, 2008.
Find full textBook chapters on the topic "Crop"
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.
Full textChristou, 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.
Full textChristou, 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.
Full textFarre, 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.
Full textFarre, 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.
Full textNewell-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.
Full textGatehouse, 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.
Full textRoy, 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.
Full textNewell-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.
Full textGatehouse, 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.
Full textConference papers on the topic "Crop"
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.
Full textVorontsov, 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.
Full textPopchenko, 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.
Full textBorin, 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.
Full textBuryakov, 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.
Full textPour, 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.
Full textZhang, 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.
Full textMullis, 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.
Full textPaixao, 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.
Full textBanić, 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.
Full textReports on the topic "Crop"
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.
Full textHavlovic, Bernard J. Crop Season. Ames: Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-1114.
Full textHavlovic, Bernard J. Crop Season. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-2456.
Full textvan 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.
Full textDudkin, 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.
Full textVan Dee, Kevin. 2000 Crop Season. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-1018.
Full textPecinovsky, Kenneth T. 2000 Crop Season. Ames: Iowa State University, Digital Repository, 2001. http://dx.doi.org/10.31274/farmprogressreports-180814-109.
Full textPecinovsky, Kenneth T. 2001 Crop Season. Ames: Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-2589.
Full textVan Dee, Kevin. 2001 Crop Season. Ames: Iowa State University, Digital Repository, 2002. http://dx.doi.org/10.31274/farmprogressreports-180814-2604.
Full textMallarino, 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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