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Journal articles on the topic 'Yield of agricultural crops'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Dusaev, Kh B., and A. H. Dusaeva. "Analysis of production of main crops in Orenburg region." Normirovanie i oplata truda v sel'skom hozyajstve (Rationing and remuneration of labor in agriculture), no. 7 (July 1, 2021): 12–31. http://dx.doi.org/10.33920/sel-06-2107-02.

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The article analyzes the regional production of major agricultural crops for 2000–2018, taking into account the areas of their crops and planting, gross harvest and yield in farms of all categories and agricultural organizations. During the study period, a gradual reduction in the acreage of grain and leguminous crops in the region was revealed, with stabilization at the level of 2.7 million hectares, with a wide range of variations in gross yields and yields depending on the weather and climatic conditions of cultivation. There was a reduction in the area, a decrease in gross collections and

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2

S, Arunkumar, Harish B, Divakar S, and UmaDevi G. "Profitability and Yield Prediction on Agricultural Crops of India." International Journal of Research Publication and Reviews 4, no. 4 (2023): 4506–14. http://dx.doi.org/10.55248/gengpi.234.4.38180.

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3

Ivano, Yaroslav, and Sof'ya Petrova. "MODELING MULTILEVEL DYNAMICS OF AGRICULTURAL CROPS YIELD." Bulletin of KSAU, no. 12 (January 29, 2025): 66–77. https://doi.org/10.36718/1819-4036-2024-12-66-77.

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The objective of the study is to develop an algorithm for modeling crop yields based on the dynamic-stochastic and cyclical properties of long-term characteristic series. Tasks: identifying the properties of time series of agricultural crop bioproductivity based on their consideration as multi-level structures with cyclical fluctuations; using the properties of variability of long-term characteristic series to build forecasting or stochastic assessment models; implementing the modeling algorithm using the example of grain and leguminous crop yields in Russia and wheat bioproductivity in the US

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4

Buklagin, D. S. "Agricultural crop yield forecasting methods." Machinery and Equipment for Rural Area, no. 12 (December 20, 2020): 25–28. http://dx.doi.org/10.33267/2072-9642-2020-12-25-28.

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The main areas of the development and use of digital technologies and systems for forecasting the yield of agricultural crops based on satellite data are described. Proposals are given for the development of research in the field of the use of space technologies and their widespread use in agriculture.

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5

Ushachev, Ivan Grigorevich, Andrei Viktorovich Kolesnikov, and Marina Viacheslavovna KHarina. "FORECAST OF PRODUCTION VOLUMES OF THE MAIN TYPES OF AGRICULTURAL PRODUCTS IN RUSSIA FOR 2025." AIC: economics, management, no. 3 (March 1, 2025): 3–15. https://doi.org/10.33305/253-3.

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The article presents the forecast of the main types of agricultural products production in Russia in 2025, made in line with the methodology developed in Agrarian policy and Agro-industrial complex development department of FSBSI FRC VNIIESH. The main forecast indicators are: areas and agricultural crops yields, livestock and productivity of animals, gross production. As a result of agricultural crops yields analysis from 1980 years onwards, the multidirectional dynamics of yield changes by regions of Russia and types of crops has been established. Favorable years for grain crops are not the s

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6

Gusmini, Gabriele, and Todd C. Wehner. "Fifty-five Years of Yield Improvement for Cucumber, Melon, and Watermelon in the United States." HortTechnology 18, no. 1 (2008): 9–12. http://dx.doi.org/10.21273/horttech.18.1.9.

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Yield data for the major cucurbit crops in the United States have been collected and summarized. Yield trends are presented for cucumber (Cucumis sativus; processing and fresh-market), melon (Cucumis melo; muskmelon and honeydew), and watermelon (Citrullus lanatus) for the period 1951–2005. Data have been obtained from the U.S. Department of Agriculture, as originally reported by six of its units: Agricultural Marketing Service, Agricultural Research Service, Bureau of Agricultural Economics, Economic Statistics Service, National Agricultural Statistics Service, and Statistical Reporting Servi

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7

Breskina, Galina M., Nina P. Masyutenko, Natalia A. Chuyan, and Artyom V. Klimov. "CROP GROWTH, DEVELOPMENT AND YIELD APPLYING AGRICULTURAL BIOTECHNOLOGIES." Land Reclamation and Hydraulic Engineering 15, no. 2 (2025): 297–318. https://doi.org/10.31774/2712-9357-2025-15-2-297-318.

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Purpose: to study the influence of agrobiotechnology on the growth, development, crop structure and biological yield of crops in the grain-row crop rotation link. Materials and methods. The studies were carried out in scientific and production experiment in 2022–2024 on slightly eroded typical chernozem (Kursk region, Medvensky district, Panino village). In the experiment, microbiological preparations (MBP) “Trichoplant, SK” and “Biogor-Zh” used to treat seeds, soil, crops and by-products were applied. Experiment options: 1) Control (generally accepted technology); 2) Chopped by-products (CP)

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8

Dusaev, Kh B., and A. Kh Dusaeva. "The production of major agricultural crops in the Orenburg region." Normirovanie i oplata truda v sel'skom hozyajstve (Rationing and remuneration of labor in agriculture), no. 1 (2022): 22–40. http://dx.doi.org/10.33920/sel-06-2201-02.

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A detailed analysis of the production of the main agricultural crops in the Orenburg region for a long-term period, taking into account of their sown areas, gross yields and yields in farms of all categories has been provided in the article. The purpose of the research was to analyze the production of the main agricultural crops in the Orenburg region. Based on the conducted research, transformational changes and trends in the regional production of grain, potatoes and vegetable crops have been identified. During the study period, a gradual reduction in the acreage of grain and leguminous crop

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9

Kirubanand, VB, V. Rohini, and V. Laxmankumar. "Internet of Things in Agriculture to Revolutionize Traditional Agricultural Industry." ITM Web of Conferences 37 (2021): 01018. http://dx.doi.org/10.1051/itmconf/20213701018.

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Agriculture is familiarly called “Farming”. Agriculture is the basic art to cultivate food which is a necessary need to every living individual. Agriculture needs the practice of science for cultivating the soil factors and growing crops. In traditional farming, it includes more labor work and less yield quantity. This demerit can be overcome by the modern farming techniques which makes use of the advanced technology and focuses on maximizing the yield and maintaining the quality. Earlier the farmers used to figure out the type of the soil based on their suspicion and they would never think of

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10

Parra-Londono, Sebastian, Jaime Andres Tigreros, and Carlos Alberto Montoya-Correa. "Colombian Crop Resilience: Evaluating National Yield Stability for Fruit and Vegetable Systems." Agriculture 14, no. 9 (2024): 1546. http://dx.doi.org/10.3390/agriculture14091546.

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In recent years the yield of fruits and vegetables has been decreasing, threatening Colombia’s food security. Analysis of crop production data may lead to identifying cropping systems that have shown better adaptability to changes in climatic and non-climatic factors associated with agricultural production. The open database AGRONET keeps data on the agricultural activities conducted in Colombia, allowing us to find the information organized by crops, regions and years. Aiming to identify resilient crop systems in Colombia, agricultural data on fruits and vegetables were analyzed. First, trend

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11

Dusaev, Kh B., and A. Kh Dusaeva. "Analysis of the production of major agricultural crops in the Orenburg region." Kormlenie sel'skohozjajstvennyh zhivotnyh i kormoproizvodstvo (Feeding of agricultural animals and feed production), no. 10 (September 16, 2021): 51–71. http://dx.doi.org/10.33920/sel-05-2110-05.

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A detailed analysis of the production of the main agricultural crops in the Orenburg region for a long-term period, taking into account of their sown areas, gross yields and yields in farms of all categories has been provided in the article. The purpose of the research was to analyze the production of the main agricultural crops in the Orenburg region. Based on the conducted research, transformational changes and trends in the regional production of grain, potatoes and vegetable crops have been identified. During the study period, a gradual reduction in the acreage of grain and leguminous crop

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12

Layek, Ujjwal, Arijit Kundu, Nandita Das, Rajib Mondal, and Prakash Karmakar. "Intercropping with Pigeonpea(Cajanus cajan L. Millsp.): An Assessment of Its Influence on the Assemblage of Pollinators and Yield of Neighbouring Non-Leguminous Crops." Life 13, no. 1 (2023): 193. http://dx.doi.org/10.3390/life13010193.

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Intercropping is practiced in modern intensive agriculture considering many benefits, including additive crop yield. However, it may have competitive or facilitative interactions between pollinator-dependant crops. Here, we investigated the reproductive aspects of pigeonpea (Cajanus cajan). We assessed the influence of blooming pigeonpea on pollinator’s assemblage and the yield of neighbouring non-leguminous crops (e.g., coriander, mustard). For these, we recorded floral visitors and the yield of the targeted crops from two types of fields―closely situated and distantly situated concerning pig

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13

Mahood Al-Hussein, Bilal Hussein, Kadhim Abdul Wahhab Al-Asadi, and Widad M. Taher Al-Asadi. "The Effect of Climate Change on some Agricultural Crop Production in Basrah Governorate." IOP Conference Series: Earth and Environmental Science 1371, no. 5 (2024): 052075. http://dx.doi.org/10.1088/1755-1315/1371/5/052075.

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Abstract Agricultural production is directly affected by changes in the climatic elements, whether positive or negative, and the impact of this change is reflected in the area, yield and crop production, which affects the crop structure, so this research aims to analyse the impact of climate changes on crops for the period (1983-2022). As a comparative study, this is done by studying the yield and productivity of some crops and the most important appropriate climatic elements affecting their cultivation. These elements include the minimum and maximum temperatures, relative humidity, rainfall a

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14

Fang, Ming, Songqing Jin, Klaus Deininger, and Matthew Gammans. "Heterogenous climate impacts on crop yields: evidence from Ukraine." Environmental Research Communications 5, no. 10 (2023): 105015. http://dx.doi.org/10.1088/2515-7620/acde36.

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Abstract Ukraine ranks among the largest global producers and exporters of a variety of agricultural commodities. Despite its importance, there is limited research on the effect of climate change on the future of Ukraine’s agricultural sector. We investigate how weather affects the yields of Ukraine’s five major crops: winter wheat, spring barley, sunflower, soybean, and corn. Using panel data on village-level surveyed crop yields and fine-scale weather data from 2004–2020, we estimate flexible statistical yield models to characterize the impact of temperature and precipitation changes on crop

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15

K.C., Mamata, and Anuj Lamichhane. "Advances in Agricultural Biotechnology." Nepal Journal of Biotechnology 9, no. 1 (2021): 85–92. http://dx.doi.org/10.3126/njb.v9i1.38643.

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Agricultural biotechnology is becoming the major sector in crop improvement through the use of scientific techniques for the modification of genes conferring resistance to biotic, abiotic stress and improving the quality of crops. With the evolvement from Mendelian genetics to molecular biotechnology, there have been several developments in the field of crop improvement. Recent biotechnological advances have aimed towards removing the physiological constraints of the crops and increasing crop yield potential. With the use of different tools of agricultural biotechnologies like genetic engineer

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16

Reimer, Jeffrey J., and Man Li. "Yield Variability and Agricultural Trade." Agricultural and Resource Economics Review 38, no. 2 (2009): 258–70. http://dx.doi.org/10.1017/s1068280500003245.

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We examine how changes in yield variability affect the welfare of cereal grain and oilseed buyers and producers around the world. We simulate trade patterns and welfare for 21 countries with a Ricardian trade model that incorporates bilateral trade costs and crop yield distributions. The model shows that world trade volumes would need to increase substantially if crop yield variability were to rise. Net welfare effects, however, are moderate so long as countries do not resort to policies that inhibit trade, such as export restrictions or measures to promote self-sufficiency in crops. Low-incom

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17

Magdalene D Charulatha, Janice. "DNA Sequence Identification and Rectification to Intensify the Yield of Agricultural Crops." International Journal of Science and Research (IJSR) 12, no. 4 (2023): 137–39. http://dx.doi.org/10.21275/sr23329211649.

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18

Kulikova, A. Kh. "Siliceous Rocks in the Fertilizer System of Agricultural Crops." Агрохимия, no. 12 (December 1, 2023): 11–21. http://dx.doi.org/10.31857/s0002188123120104.

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Over the past 25 years, the influence of siliceous rocks (diatomite, zeolite, flask) on soil properties (typical chernozem, leached chernozem), yield and quality of agricultural crops (cereals, potatoes and vegetables, technical) when used both in pure form and together with mineral fertilizers and bird droppings has been studied. The possibility of creating new types of more effective fertilizers based on siliceous rocks by enriching them with elements or compounds (in particular amino acids) that most fully meet the requirements of crops has been studied. Studies have shown that the yield of

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19

Ахметзянова, Раиля, Railya Akhmetzyanova, Зульфия Халиуллина, et al. "DRILL CUTTINGS AND INCREASE OF AGRICULTURAL CROPS YIELD." Vestnik of Kazan State Agrarian University 12, no. 4 (2018): 83–86. http://dx.doi.org/10.12737/article_5a8446e549bb22.30272174.

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The laboratory vegetative chronic experiments, on the example of spring wheat, showed that reclaimed drill cuttings can be used for deoxidizing (liming) acidic soils, increasing the biomass yield in growing agricultural crops. Doses of drill cuttings providing long-term maintenance of optimum acidity of investigated soils are defined.

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20

Mehedi, Shahriar Mursalin, Farhana Yeasmin, Md Enamul Haque, and Md Rafiqul Islam. "Yield gap of major crops in sadar upazila of Mymensingh district." Asian-Australasian Journal of Bioscience and Biotechnology 3, no. 3 (2018): 174–81. http://dx.doi.org/10.3329/aajbb.v3i3.64821.

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The aim of this study was to ascertain yield and yield gap status of major crops. The study was conducted in two villages of sadar upazila under the Mymensingh district. Ninety farmers were selected as sample size following proportionate random sampling technique. The researcher himself personally collected data during mid-March to mid-May 2014. Collected data were compiled, coded, analyzed and interpreted as per objectives of the study. It was found that majority of the respondents were middle-aged having a primary level of education, medium farm size, small family size with low agricultural

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21

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 (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 gra

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22

Taranova, Nataliia, Ivan Kilchytskyi, and Nataliia Onufrak. "THE IMPACT OF CLIMATE CHANGE ON THE AGRICULTURAL SECTOR OF WESTERN UKRAINE: ANALYSIS OF SEASONAL VARIABILITY AND CROP YIELDS." SCIENTIFIC ISSUES OF TERNOPIL VOLODYMYR HNATIUK NATIONAL PEDAGOGICAL UNIVERSITY. SERIES: GEOGRAPHY 58, no. 1 (2025): 62–83. https://doi.org/10.25128/2519-4577.25.1.7.

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This article presents a comprehensive study of the impact of contemporary climate change on the agricultural sector of Western Ukraine. Particular attention is paid to a detailed analysis of the dynamics of key seasonal climate parameters, such as temperature regime and precipitation patterns, over the period from 1901 to 2020, and their direct influence on the yield of major agricultural crops in the region. Based on statistical analysis of long-term time series of meteorological data and crop yield indicators, persistent trends have been identified, including the rise in average annual and s

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23

Golovin, Artyom, Tatiana Dobrinova, Elena Bolycheva, Victoria Golovleva, and Danil Zyukin. "Assessment of the impact of crop cultivation on the reproduction of land resources." BIO Web of Conferences 118 (2024): 01036. http://dx.doi.org/10.1051/bioconf/202411801036.

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The paper assesses the impact of crop cultivation on the reproduction of land resources. It is determined that the change in the yield of major agricultural crops shows an upward trend. It was determined that crop yields are volatile due to natural and climatic phenomena. By comparing the values of nutrient removal with yield, it is determined that the most resource-intensive crop is corn, and the least - rapeseed. By comparing the removal and application of nutrients for the main agricultural crops, the conclusion is made about the narrow character of reproduction of land resources in Russia.

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24

Naidila, Sadashiv, Garg Ankur, Kumar Avinash, Verma Ashwani, Adhikari Chandan, and M. Dilip Kumar S. "An artificial intelligence based approach for increasing agricultural yield." Indian Journal of Science and Technology 14, no. 1 (2021): 8–21. https://doi.org/10.17485/IJST/v14i1.1977.

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Abstract <strong>Background/Objectives:</strong> Identification of a suitable crop based on soil and climatic condition along with plant disease detection are very much essential as they boost the agricultural yield. Monitoring these parameters is not largely carried out as they are very laborious and require expertise in the field, thus curtails the overall productivity. To address these challenges an artificial intelligence based techniques were applied to predict a suitable crop and also to detect the plant leaf disease at an early stage are been presented. <strong>Methods/Statist

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25

Melnichuk, A. Yu, O. V. Zakalichnaya, and V. V. Popovich. "Geoinformation modeling of potential productivity in agricultural landscapes for the formation of sustainable land use." E3S Web of Conferences 224 (2020): 04031. http://dx.doi.org/10.1051/e3sconf/202022404031.

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The work is devoted to geoinformation modeling of potential and really possible yield of leading agricultural crops in the agricultural landscapes of the Simferopol region of the Republic of Crimea. The study area is characterized by high agricultural development, complicated physical and geographical location and insufficient moisture. Algorithm for geoinformation modeling of potential and really possible crop yields by the amount of arrival of photosynthetically active radiation for each point of input surface is considered. The resulting cartogram of averaged values deviation of potential a

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26

Ashraf, Shah Nawaz, and Ajay K. Singh. "Impact of Technological Change on Growth and Agricultural Sector in Gujarat State of India: A Time-Series Data Study." Asian Development Policy Review 9, no. 3 (2021): 144–60. http://dx.doi.org/10.18488/journal.107.2021.93.144.160.

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This study assessed the growth rate of commercial and food-grain crops due to technological change in Gujarat. Growth rate model was employed to examine the growth rate of area sown, production and yield of crops. Subsequently, impact of technological change, and other inputs on yield of individual crop was estimated using a Cobb-Douglas production function model. Time trend factor was used as a proxy variable to capture the impact of technological change, and other inputs (i.e., area sown, irrigated area, application of fertilizer, agricultural labors, rural literate population and annual act

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27

Hlushko, Denys. "IMPACT OF CLIMATE CHANGE ON AGRICULTURAL PRODUCTION IN UKRAINIAN POLISSIA." SCIENTIFIC ISSUES OF TERNOPIL VOLODYMYR HNATIUK NATIONAL PEDAGOGICAL UNIVERSITY. SERIES: GEOGRAPHY 57, no. 2 (2024): 47–57. https://doi.org/10.25128/2519-4577.24.2.6.

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The article is one of the first attempts to assess the influence of climatic factors on the productivity of the main agricultural crops grown in the Polissia zone. For the first time, a comparative analysis of the influence of thermal factors and moisture regime factors on the yield of various crops has been conducted. The influence of climatic factors on the productivity of the main agricultural crops was studied using the methods of pairwise correlation and multiple linear regression. Using the method of pairwise correlation, the nature and degree of influence of climatic factors on the yiel

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28

Mamiev, Dmitry Mairbekovich. "EFFICIENCY OF AGRICULTURAL LAND USE." SCIENTIFIC LIFE 19, no. 4 (2024): 598–606. http://dx.doi.org/10.35679/1991-9476-2024-19-4-598-606.

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Proper, competent use of arable land, improvement of the structure of crops, is the most important condition for the growth of crop production. Our research was conducted on the basis of scientific principles and approaches set out in the methodological guidelines: "Agroecological assessment of lands, design of adaptive landscape systems of agriculture and agrotechnologies" (Moscow: RASKHN, 2005, ed. academicians RASKHN A. L. Ivanov and V. I. Kiryushin). To make more efficient use of arable land, increase the yield of major crops, meet the needs of farms with crop production, improve soil fert

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29

Khan, S. A., and K. R. Aneja. "Parthenium infestation and yield losses in agricultural crops." Indian Journal of Weed Science 48, no. 4 (2016): 428. http://dx.doi.org/10.5958/0974-8164.2016.00109.x.

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30

Mirschel, Wilfried, Ralf Wieland, Karl-Otto Wenkel, Claas Nendel, and Christian Guddat. "YIELDSTAT – A spatial yield model for agricultural crops." European Journal of Agronomy 52 (January 2014): 33–46. http://dx.doi.org/10.1016/j.eja.2013.09.015.

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31

Dewangga, Hoki, Khairil Khairil, and Ila Yati Beti. "Penerapan Metode K-Medoid Dalam Pengelompokkan Data Pertanian Di Dinas Tanaman Pangan Hortikultura Dan Perkebunan Provinsi Bengkulu." JURNAL MEDIA INFOTAMA 20, no. 2 (2024): 501–9. https://doi.org/10.37676/jmi.v20i2.6459.

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The Department of Agriculture, Food Crops, Horticulture and Plantations of Bengkulu Province has collected data on agricultural commodities in each Regency/city in Bengkulu Province which are recapitulated annually, but at the Department of Agriculture, Food Crops and Horticulture and Plantations of Bengkulu Province there is no system that can be used to classify agricultural yield data for each of these various commodities so that it is difficult to obtain information on potential harvest-producing agricultural areas in Bengkulu Province for each commodity. Therefore, a system is needed that

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32

Shevchenko, M. S., L. M. Decyatnik, and K. A. Derevenets-Shevchenko. "Modern systems of agriculture and a new interpretation of crop rotation value of agricultural crops." Scientific Journal Grain Crops 4, no. 2 (2020): 319–29. http://dx.doi.org/10.31867/2523-4544/0141.

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Based on a broad experimental study of crop rotation productivity in different locations of the Steppe zone, a correlative model for estimating the role of predecessors in the formation of post-crop yields has been developed. The connection between quality of agrotechnologies and change of degree of crop rotation competitiveness of culture is presented. A retrospective analysis of the efficiency of farming and crop rotation systems showed that the constant improvement of varieties and hybrids of crops and technologies for their cultivation created objective agrobiological grounds for reassessm

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Karimuna, La, Nini Mila Rahni, and Dirvamena Boer. "The Use of Bokashi to Enhance Agricultural Productivity of Marginal Soils in Southeast Sulawesi, Indonesia." Journal of Tropical Crop Science 3, no. 1 (2016): 1–6. http://dx.doi.org/10.29244/jtcs.3.1.1-6.

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The yield of agriculture crops tends to be decreasing in many parts of world including in Indonesian farmers’ land. One of the causes of the decreased yields is the reduction of organic matter in the soil. Peanut is one of the important crops in southeast Sulawesi and is usually intercropped with maize. However, the yield of peanut and maize crops were low as they were grown in marginal lands that have low nutrient contents, low CEC, high acidity, and low organic matter. The objectives of this paper were to summarize the results of our studies on the use of bio fertilizer bokashi plus fertiliz

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34

Dutta, Kuntal, Dipankar Pradhan, and Debasish Mondal. "Growth and Fluctuations of Yields of Rice, Wheat, Pulses and Oil Seeds in India, West Bengal and Odisha: 1970-71 to 2019-20." International Journal of Innovative Research in Engineering and Management 12, no. 1 (2025): 86–93. https://doi.org/10.55524/ijirem.2025.12.1.14.

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The agriculture sector is fundamental to achieving stable growth in a developing country like India, where consistent yields of major crops with minimal fluctuations contribute significantly to economic stability and food security. This study analyses the growth and fluctuations in the yields of four key crops—rice, wheat, pulses, and oilseeds—across India and the states of West Bengal and Odisha from 1970-71 to 2019-20. We estimate growth rates using the Exponential Annual Growth Rate (EAGR) and Compound Annual Growth Rate (CAGR) and assess yield fluctuations through multiple measures, includ

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35

Lukomets, V. M., N. M. Tishkov, M. V. Trunova, and S. A. Semerenko. "Methodology of agricultural and technical investigations in experiments with oil crops (Report III. Experiments with rapeseed)." Oil Crops 3, no. 195 (2023): 48–57. http://dx.doi.org/10.25230/2412-608x-2023-3-195-48-57.

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There are stated methodic peculiarities of investigations in experiments with spring and winter rapeseed. There are presented observations and accounts in the field experiments with rapeseed by the following indicators: plant structure, growth, and development; phenology and biometrics; the visual diagnostic of mineral nutrition of rapeseed; methods of crops observation to detect diseases and pests; the determination of elements of yield structure; analytic observations in laboratory; yield account and the calculation of the consumption of nutrients, oil and protein yields, and seed yield. The

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36

Kukartsev, Vladislav, Vasiliy Orlov, Vladimir Khramkov, and Alyona Rozhkova. "Application of machine learning algorithms for predicting agricultural crop yields." BIO Web of Conferences 130 (2024): 01010. http://dx.doi.org/10.1051/bioconf/202413001010.

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This article examines the use of machine learning algorithms for predicting the yield of agricultural crops. The primary classification method chosen is the C4.5 algorithm, which allows for the construction of interpretable models that identify key factors affecting yield. The analysis utilized data from a dataset available on the Kaggle platform, including information on various crops, their yields, and associated factors such as rainfall, fertilizer usage, air temperature, and the content of nitrogen, phosphorus, and potassium in the soil. The conducted correlation analysis showed that air t

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37

Ejieji, C. N., and A. E. Akinsunmade. "Agricultural Model for Allocation of Crops Using Pollination Intelligence Method." Applied Computational Intelligence and Soft Computing 2020 (June 1, 2020): 1–6. http://dx.doi.org/10.1155/2020/4830359.

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An agricultural model for allocation of crops is considered in this work using Pollination Intelligence Method. The model was constructed to solve farmer’s decision making in allocating crops to a piece of land using market price, known yield of crops, cost incurred during planting, and the total amount of land available. A new class of metaheuristic method called Flower Pollinated Algorithm is also presented in this work to solve the designed model. An improved version of the Flower Pollinated Algorithm called Pollination Intelligence Algorithm using an iterative scheme to override the switch

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Betancourt, Jaime Andrés, Gloria Yaneth Florez-Yepes, and Yeison Alberto Garcés-Gómez. "Agricultural Productivity and Multidimensional Poverty Reduction in Colombia: An Analysis of Coffee, Plantain, and Corn Crops." Earth 5, no. 4 (2024): 623–39. http://dx.doi.org/10.3390/earth5040032.

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This article presents the correlation between the Multidimensional Poverty Index (MPI) and the area planted, production in tons, and productive yield for various crops in Colombia from 2018 to 2021. The aim of this study is to determine the relationship between agricultural productivity and multidimensional poverty in Colombia, focusing on the cultivation of coffee, plantain, and corn. The methodology employed included a literature review through a bibliometric analysis to understand the relationships between the MPI and agricultural production. In the second stage, the agricultural sector sta

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Narayan, Kale Jaydeep. "Review of Crop Yield Prediction using Machine Learning Techniques." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 4626–28. http://dx.doi.org/10.22214/ijraset.2021.36058.

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Machine learning (ML) could be a helpful decision-making tool for predicting crop yields, in addition as for deciding what crops to plant and what to try throughout the crop's growth season. To help agricultural yield prediction studies, variety of machine learning techniques are used. I performed a literature review (LR) to extract and synthesize the algorithms and options employed in crop production prediction analysis. Temperature, rainfall, and soil types are most common measure used in the prediction as per my knowledge, whereas Artificial Neural Networks is the foremost normally used met

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Lukomets, V. M., N. M. Tishkov, M. V. Trunova, and S. A. Semerenko. "Methodology of agricultural and technical investigations in experiments with oil crops (Report IV. Experiments with oil flax)." Oil Crops 4, no. 196 (2023): 14–24. http://dx.doi.org/10.25230/2412-608x-2023-4-196-14-24.

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There are stated methodic peculiarities of investigations in experiments with oil flax. There are presented observations and accounts in the field experiments with oil flax by the following indicators: plant structure, growth, and development; phenology and biometrics; the visual diagnostic of mineral nutrition of oil flax; methods of crops observation to detect diseases and pests; the determination of elements of yield structure; analytic observations in laboratory; yield account and the calculation of the consumption of nutrients, oil and protein yields, and seed yield. The article is based

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Wang, Yuhan, Qian Zhang, Feng Yu, et al. "Progress in Research on Deep Learning-Based Crop Yield Prediction." Agronomy 14, no. 10 (2024): 2264. http://dx.doi.org/10.3390/agronomy14102264.

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In recent years, crop yield prediction has become a research hotspot in the field of agricultural science, playing a decisive role in the economic development of every country. Therefore, accurate and timely prediction of crop yields is of great significance for the national formulation of relevant economic policies and provides a reasonable basis for agricultural decision-making. The results obtained through prediction can selectively observe the impact of factors such as crop growth cycles, soil changes, and rainfall distribution on crop yields, which is crucial for predicting crop yields. A

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Rasoulzadeh Gharibdousti, Solmaz, Gehendra Kharel, and Arthur Stoecker. "Modeling the impacts of agricultural best management practices on runoff, sediment, and crop yield in an agriculture-pasture intensive watershed." PeerJ 7 (July 4, 2019): e7093. http://dx.doi.org/10.7717/peerj.7093.

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Best management practices (BMPs) are commonly used to reduce sediment loadings. In this study, we modeled the Fort Cobb Reservoir watershed located in southwestern Oklahoma, USA using the Soil and Water Assessment Tool (SWAT) and evaluated the impacts of five agricultural BMP scenarios on surface runoff, sediment yield, and crop yield. The hydrological model, with 43 sub-basins and 15,217 hydrological response units, was calibrated (1991–2000) and validated (2001–2010) against the monthly observations of streamflow, sediment grab samples, and crop-yields. The coefficient of determination (R2),

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Murtazaev, Kabiljon Abdugadirovich. "CONTROL MEASURES FOR ANNUAL AND PERENNIAL GRASS WEEDS IN SOYBEAN CROPS." EURASIAN JOURNAL OF ACADEMIC RESEARCH 3, no. 9 (2023): 24–26. https://doi.org/10.5281/zenodo.8328837.

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Weeds reduce the yield of agricultural crops, worsen the quality of products. With an average weediness of crops, the yield decreases by 20-25%, and with a strong weediness, you can not get a crop at all.

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Ivanov, D. A., M. V. Rublyuk, and N. A. Kharkhardinov. "On the issue of adaptive landscape development of useless lands based on the results of barley yield forecasting." Rossiiskaia selskokhoziaistvennaia nauka, no. 5 (December 15, 2023): 27–33. http://dx.doi.org/10.31857/s2500262723050058.

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The research aimed to assess the suitability of useless lands of a particular farm for growing barley in pure and cover crops based on the analysis of data from long-term monitoring of its yield at an agro-ecological test site. The work used data from long-term (1997-2012) monitoring of the yield of barley variety Gonor in pure and cover (allowing for additional production) crops at the Gubino agricultural site of All- Russian Research Institute of Reclaimed Lands. The agricultural site is located 4 km east of the city of Tver, on a hill with a relative height of 15 m, consisting of a flat top

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Gupta, Sheetanshu, Nirbhan Singh, and Shakuli Kashyap. "Management of agriculture through artificial intelligence in adverse climatic conditions." Environment Conservation Journal 24, no. 2 (2023): 408–12. http://dx.doi.org/10.36953/ecj.23602638.

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Climate change has been a significant global challenge in recent years, resulting in adverse conditions for agricultural crops. Adverse climatic conditions, such as drought, flood, and extreme temperatures, have a significant impact on crop yields, resulting in food insecurity, economic losses, and environmental degradation. Agricultural experts have been working to develop innovative technologies to help farmers manage their crops better in adverse climatic conditions. One such technology is the use of Artificial Intelligence (AI) to model and manage agricultural crops. The main concern of th

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Chen, Hongbiao. "Research on Optimisation Models for Crop Planting Planning." Highlights in Science, Engineering and Technology 131 (March 25, 2025): 180–86. https://doi.org/10.54097/qjyty260.

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In response to the current problem of low crop yields due to generally low crop yields and plot utilisation, this paper aims to improve plot utilisation to increase crop yield. The increase in yield cannot be realised as there is no better solution provided at present. Crop yield growth is facing a bottleneck as there is no better solution to achieve yield increase. This paper takes yield maximisation as the core objective, and establishes a multi-objective linear programming model for the situation where more than the stagnant part of the wasted and wasted crops are sold at a reduced price of

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Kumari, Mamta. "Paradigm Shift in Agricultural/ Horticultural Production System through GAP to Fill the Gap between Potential Yield and Yield Obtained." International Journal of Environment and Climate Change 13, no. 8 (2023): 870–73. http://dx.doi.org/10.9734/ijecc/2023/v13i82022.

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India is an agriculture-based country which is a very important and ancient enterprise of the whole world. It supplies food, fruit, vegetables, flowers to worship and decorate around the world. Apart from India there are any countries that are dependent on agriculture. It is the backbone of new industries like Sugar, Cotton etc. Krishi Vigyan Kendra, Sabour, Bhagalpur works in wide array of situations. It deals with sixteen blocks. Few blocks face flood in rainy seasons like Kharik, Naugachhia, Biharpur, Nathnagar, Sultanganj, Goradih and Gopalpur. Few of them have flood daught situations like

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Kianian, M. K. ,., and H. ,. Hajimohammadi. "STUDYING THE IMPACT OF EARLY AUTUMN AND LATE SPRING FROSTS ON AGRICULTURAL CROPS YIELD IN IRAN." EPH - International Journal of Agriculture and Environmental Research 6, no. 2 (2020): 1–9. http://dx.doi.org/10.53555/eijaer.v5i1.53.

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To study early autumn and late spring frosts and its relation to the yield of agriculture crops in Semnan province we used statistics the least daily minimum temperature of 6 stations in the months of October and November and April during the period (1993-2014) as well as information on yield of agricultural crops from horticulture department of agriculture Organization. Using Pearson correlation coefficient between yield and frequency of early autumn and late spring frosts were studied and finally induced to study the frosts trends for each station. Early frosts of autumn in the province date

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Kuzmenko, Serhii, Vitaly Havrylyuk, and Vadym Melnychenko. "Prospects for the development of the oil crop market." Actual problems of innovative economy and law 2024, no. 3 (2024): 95–100. http://dx.doi.org/10.36887/2524-0455-2024-3-18.

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This research paper aims to determine the priority directions for developing the modern oil crops market. Research methodology. The theoretical and methodological basis of the research was based on economic theory, the dialectical method, and the fundamental principles of economic theory and management. It also drew on scientific works by domestic and foreign scientists on the development of the oilseed market. The research employed various methods, including analysis and synthesis to study the current state and development trends of the oil crops market, monographic methods to investigate the

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Hlushko, Denis. "DEPENDENCE OF PRODUCTIVITY OF AGRICULTURAL PRODUCTION IN UKRAINE ON CHANGES IN THERMAL REGIME." SCIENTIFIC ISSUES OF TERNOPIL VOLODYMYR HNATIUK NATIONAL PEDAGOGICAL UNIVERSITY. SERIES: GEOGRAPHY 54, no. 1 (2023): 33–41. http://dx.doi.org/10.25128/2519-4577.23.1.4.

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The dynamics of changes in the average annual air temperature in 24 regions of Ukraine in the period 2011 - 2020 is analyzed. The correlation between the yield of major crops and the average annual air temperature is studied. The regional features of this dependence are analyzed. The regions of the country are ranked according to the degree of correlation between the average annual temperature and crop yields. Agriculture is largely dependent on natural factors, the most important of which is the change in agro-climatic conditions due to modern climate change. The main manifestation of m

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