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Artykuły w czasopismach na temat „Crop Ranking”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Norwood, F. Bailey, Matthew C. Roberts, and Jayson L. Lusk. "Reply: Ranking Crop Yield Models." American Journal of Agricultural Economics 88, no. 4 (2006): 1111–12. http://dx.doi.org/10.1111/j.1467-8276.2006.00920.x.

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Ramírez, Octavio A., and Tanya McDonald. "Ranking Crop Yield Models: A Comment." American Journal of Agricultural Economics 88, no. 4 (2006): 1105–10. http://dx.doi.org/10.1111/j.1467-8276.2006.00919.x.

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Albert, Isabelle, and David Makowski. "Ranking crop species using mixed treatment comparisons." Research Synthesis Methods 10, no. 3 (2018): 343–59. http://dx.doi.org/10.1002/jrsm.1328.

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Dr., Ningaraju, and S. Arun Das Dr. "CROPPING PATTERN AND CROP RANKING OF MYSORE D." International Journal of Research - Granthaalayah 5, no. 4 (2017): 334–38. https://doi.org/10.5281/zenodo.573005.

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With the limited resources of land and water in hand, their optimum use is a must to for increased production of food grains to the demands of increasing population. The productivity in any area can be substantially raised by growing the crops suitable to the area with the help of newly developed agricultural techniques. Rainfed crops would continue to dominate in the agriculture of Mysore district.

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Ningaraju and S. Arun Das. "CROPPING PATTERN AND CROP RANKING OF MYSORE DISTRICT." International Journal of Research -GRANTHAALAYAH 5, no. 4 (2017): 334–38. http://dx.doi.org/10.29121/granthaalayah.v5.i4.2017.1827.

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With the limited resources of land and water in hand, their optimum use is a must to for increased production of food grains to the demands of increasing population. The productivity in any area can be substantially raised by growing the crops suitable to the area with the help of newly developed agricultural techniques. Rainfed crops would continue to dominate in the agriculture of Mysore district.

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6

Pavithra, R., R. Shiva Kumar, and P. Surendra. "Assessment of Crop Combination in Ramanagara District." Geo-Eye 10, no. 2 (2021): 26–30. https://doi.org/10.53989/bu.ge.v10i2.5.

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The studies of crop combination regions constitute an important aspect of agricultural geography as it provides a good basis for agricultural regeneration. Through different regions may have different climate and soil conditions and objectives of the study are to find out the crop combination regions of Ramanagara District. The important objectives are to study the principal crops and ranking of crops in Ramanagara District to find out the Weavers and Reffullahs crop combination regions in Ramanagara District. The data collected were processed and analyzed by using districts statistics the res

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7

Derejko, Adriana, Marcin Studnicki, Elżbieta Wójcik-Gront, and Edward Gacek. "Adaptive Grain Yield Patterns of Triticale (×Triticosecale Wittmack) Cultivars in Six Regions of Poland." Agronomy 10, no. 3 (2020): 415. http://dx.doi.org/10.3390/agronomy10030415.

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The recommendation of cultivars for a larger number of locations relies on similar agricultural environment or similar crop yield obtained in these locations. There are many studies on the impact of environmental conditions on the yield of cultivars of agricultural crops and recommendation for their cultivation. However, there is little research on triticale in comparison to other cereals. We presented the influence of the cultivar, location nested in region, year, and their interactions on triticale grain yield separately for two levels of crop management intensity. In this work, we checked c

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8

Norwood, Bailey, Matthew C. Roberts, and Jayson L. Lusk. "Ranking Crop Yield Models Using Out‐of‐Sample Likelihood Functions." American Journal of Agricultural Economics 86, no. 4 (2004): 1032–43. http://dx.doi.org/10.1111/j.0002-9092.2004.00651.x.

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9

Koloseni, David. "Application of linguistic/non-numeric fuzzy aggregation to the ranking of processed crops." Tanzania Journal of Science 47, no. 2 (2021): 710–17. http://dx.doi.org/10.4314/tjs.v47i2.26.

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A non-numeric fuzzy aggregation approach is applied for the fusion of information obtained from farmers and experts for evaluation and selection of alternatives under multiple criteria. The technique has the ability to assign linguistic variable to fused information and find consensus of gathered opinions from a number of experts on crop processing for each processed crop. The technique is illustrated with a crop processing problem by adding value to the crop and increase income to entrepreneurs. The proposed technique has been successfully applied to the ranking of the processed crops based o

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10

Kumar, Dinesh. "AGRICULTURAL CHARACTERISTICS IN FLOODPLAIN ZONE OF MIDDLE GANGA PLAIN." Journal of Global Resources 9, no. 01 (2023): 68–78. http://dx.doi.org/10.46587/jgr.2023.v09i01.007.

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This paper has been attempted to study the difference dimensions of agriculture like crop diversification, cropping intensity, crop combination, crop ranking, irrigation intensity and land use efficiency in floodplain zone of middle Ganga plain. Agriculture plays a very important role in the economic development of our country (India), where 65 percent of rural population is directly or indirectly depended on the agricultural for survival. The largest population of India has been livening in Ganga floodplain so it has necessary to study the different agricultural characteristics. The major obj

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11

Kociszewski, Karol, and Natalia Szubska-Włodarczyk. "The level of organic farming productivity in selected EU countries." Economics and Environment 86, no. 3 (2023): 417–35. http://dx.doi.org/10.34659/eis.2023.86.3.623.

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The article aims to determine the efficiency of organic crop production and the potential of organic animal production on a macroeconomic scale in selected European Union (EU) countries. Synthetic indicators were constructed and calculated using Principal Component Analysis based on Eurostat data from 2012-2020. The results allowed us to compare the economic situation of organic farming in different countries and to determine their rankings. The discussion is complemented by an analysis of key variables relating to crop and animal production. This helped to explain the reasons for changes in t

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12

Ozturk, Omer, and Olena Kravchuk. "Judgment Post-stratified Assessment Combining Ranking Information from Multiple Sources, with a Field Phenotyping Example." Journal of Agricultural, Biological and Environmental Statistics 26, no. 3 (2021): 329–48. http://dx.doi.org/10.1007/s13253-021-00439-1.

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AbstractThis paper presents novel estimators for a judgment post-stratified (JPS) sample, which combine the ranking information from different methods or rankers. A JPS sample divides the units in the original simple random sample (SRS) into several ranking groups based on the relative positions (ranks) of the units in their individual small comparison sets. Ranks in the comparison sets may be assigned with several different ranking procedures. When considered separately, each ranking method leads to a different JPS sample estimator of the population mean or total. Here we introduce equally or

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13

Kumar, Vipin. "Study of Cropping Pattern, Crop Ranking and Crop Combination in Somb River Basin at Lower Shiwalik Hills." International Journal of Advanced Remote Sensing and GIS 6, no. 1 (2017): 2297–305. http://dx.doi.org/10.23953/cloud.ijarsg.295.

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14

Sahoo, Truptimayee, P. Radhika, Ch Srilatha, and K. Supriya. "Logistics Challenges in Distributing Crop Protection Chemicals (CPCs)." Journal of Scientific Research and Reports 30, no. 8 (2024): 327–30. http://dx.doi.org/10.9734/jsrr/2024/v30i82250.

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The secondary distribution network refers to the comprehensive set of activities involved in the management and execution of the post-production supply chain, encompassing storage, transportation and distribution. Secondary distribution involves the coordination of various elements, such as inventory management, order fulfillment and transportation, to ensure timely and cost-effective delivery of goods to end-users. Efficient distribution network ensures timely availability of these products, enabling farmers to address pest infestations promptly and prevent significant crop losses. This manus

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15

Ayvaz-Çavdaroğlu, Nur. "A multiple criteria decision analysis for agricultural planning of new crop alternatives in Turkey." Journal of Intelligent & Fuzzy Systems 40, no. 6 (2021): 10737–49. http://dx.doi.org/10.3233/jifs-201701.

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Agriculture is a crucial and strategic sector for developing countries. The agricultural sector in Turkey has been suffering from regression in recent years due to several reasons. In an attempt to reverse this process, we analyze the cultivation possibilities of high profit-margin crops in Turkish lands and develop a ranking among eight alternative crops. To perform a comprehensive analysis encompassing several dimensions, three MCDM methods are utilized; namely fuzzy AHP to determine the weights of evaluation criteria, and TOPSIS and PROMETHEE to develop a ranking among the crop alternatives

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16

Boppudi, Swanth, and Sheela Jayachandran. "Improved feature ranking fusion process with Hybrid model for crop yield prediction." Biomedical Signal Processing and Control 93 (July 2024): 106121. http://dx.doi.org/10.1016/j.bspc.2024.106121.

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17

Nayak, M. G., and Shanoor M. Jamakhandi. "CROP COMBINATION PATTERN IN HAVERI DISTRICT OF KARNATAKA." Geo Eye 9, no. 2 (2020): 32–35. http://dx.doi.org/10.53989/bu.ge.v9i2.6.

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The present paper attempt to highlight the crop combination pattern of Haveri district with the help of weaver’s method. The study region situated in western part of Karnataka state and also it is coming under Semi-Malnadu region that why this land suitable for crop cultivation. The agricultural pattern in the study region is suitable for climatic conditions, soil fertility as well as social-economic factors. Two crop combinations are found in southern part, Northern part has 3 to 5 crop combinations and high crop combination found in Hanagal and Ranebennurtaluks. The unequal distributional pa

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18

Wulandari, Diah Ayu Retnani, Velia Aprita Dewi, and M. Arif Hidayat. "Smart Crop Rotation For Sustainable Agriculture Against Climate Change Based On Local Wisdom." E3S Web of Conferences 448 (2023): 01015. http://dx.doi.org/10.1051/e3sconf/202344801015.

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Rotation plant can in a manner effective reduce fragility system plant. Rotation plant need consider Lots factor. If happen error in election type plants, can lower results plant next. moment This rotation planting is done only based on estimate. exists artificial intelligence technology with use the Simple Multi Attribute Rating Technique (SMART) method that can used for optimization scheduling rotation plant. SMART is method weighting and calculation on determination scheduling rotation plant with determine ranking plant replacement in rotation plant based on criteria already determined. The

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19

Lund, R. E., J. S. Cherry, and J. M. Martin. "Choosing the Best by Ranking and Selection." Agronomy Journal 83, no. 3 (1991): 637–43. http://dx.doi.org/10.2134/agronj1991.00021962008300030027x.

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20

Khalangre, Dr Kiran Dilip, and Dr M. V. Suryawanshi. "Crop Concentration and Diversification in Latur District of Maharashtra: A Case Study." Indian Journal of Food Engineering 3, no. 3 (2024): 1–5. http://dx.doi.org/10.54105/ijfe.c1011.03030624.

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The present study is an attempt to explain the crop concentration and diversification in agriculture of the Latur district of Maharashtra. Here, a detailed study has been done to know the dominant crop as well as the ranking of the crops in the cropping pattern of the study area. The study is based on secondary data sets that have been collected from the district statistical handbook 2020-21. Using Bhatia’s method, the crop concentration indices for all blocks of the district have been calculated for crops like Soybean, Sugarcane, Tur, Gram, Jowar, Mung and Udid. Crop concentration and Crop di

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21

Dr., Kiran Dilip Khalangre. "Crop Concentration and Diversification in Latur District of Maharashtra: A Case Study." Indian Journal of Food Engineering (IJFE) 3, no. 3 (2024): 1–5. https://doi.org/10.54105/ijfe.C1011.03030624.

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<strong>Abstract: </strong>The present study is an attemptto explain the crop concentration and diversification in agriculture of the Latur district of Maharashtra. Here, a detailed study has been done to know the dominant crop as well as the ranking of the crops in the cropping pattern of the study area. The study is based on secondary data sets that have been collected from the district statistical handbook 2020-21. Using Bhatia’s method, the crop concentration indices for all blocks of the district have been calculated for crops like Soybean, Sugarcane, Tur, Gram, Jowar, Mung and Udid

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22

Ahn, S. W., C. H. Kim, N. K. Park, H. C. Choi, and S. Y. Cho. "Varietal Ranking of Blast (Bl) Severity in Korean Farmers' Fields." International Rice Research Newsletter 13, no. 5 (1988): 11–12. https://doi.org/10.5281/zenodo.7136481.

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This article 'Varietal Ranking of Blast (Bl) Severity in Korean Farmers' Fields' appeared in the International Rice Research Newsletter series, created by the International Rice Research Institute (IRRI). The primary objective of this publication was to expedite communication among scientists concerned with the development of improved technology for rice and for rice based cropping systems. This publication will report what scientists are doing to increase the production of rice in as much as this crop feeds the most densely populated and land scarce nations in the world.

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23

Bigman, David. "Cardinal criteria for ranking uncertain prospects." Agricultural Economics 8, no. 1 (1992): 21–31. http://dx.doi.org/10.1111/j.1574-0862.1992.tb00228.x.

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24

HALEKOH, U., and K. KRISTENSEN. "Evaluation of treatment effects by ranking." Journal of Agricultural Science 146, no. 4 (2008): 471–81. http://dx.doi.org/10.1017/s0021859608007740.

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SUMMARYIn crop experiments measurements are often made by a judge evaluating the crops' conditions after treatment. In the present paper an analysis is proposed for experiments where plots of crops treated differently are mutually ranked. In the experimental layout the crops are treated on consecutive plots usually placed side by side in one or more rows. In the proposed method a judge ranks several neighbouring plots, say three, by ranking them from best to worst. For the next observation the judge moves on by no more than two plots, such that up to two plots will be re-evaluated again in a c

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25

Jackson, PA, and DM Hogarth. "Genotype × environment interactions in sugarcane. I. Patterns of response across sites and crop-years in north Queensland." Australian Journal of Agricultural Research 43, no. 7 (1992): 1447. http://dx.doi.org/10.1071/ar9921447.

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Responses of sugarcane genotypes across environments in north Queensland for sugar yield and its components cane yield and sugar content, were examined using pattern analysis methods. The aim was to provide information which could be used in designing efficient selection methods for sugarcane breeding programs. Of particular interest was the comparison of variation in relative performance of genotypes across sites and crop-years. Results from two series of sugarcane trials in north Queensland are presented. In the first series, 65 genotypes were evaluated at four sites and across plant, first

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26

SWANCKAERT, J., J. PANNECOUCQUE, J. VAN WAES, et al. "Harvest date does not influence variety ranking in Belgian forage maize variety trials." Journal of Agricultural Science 154, no. 6 (2015): 1040–50. http://dx.doi.org/10.1017/s0021859615000994.

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SUMMARYSilage maize variety testing systems usually evaluate new varieties within properly defined maturity groups; within a maturity group, all varieties are harvested on a single harvest date. In a small country like Belgium where growing conditions are similar across the maize growing areas, all tested silage maize varieties, comprising different maturity groups, are harvested on a single date. Under this testing system, only few varieties are harvested at the physiological stage where they theoretically show their optimal performance. In the current research, eight silage maize varieties w

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27

Deepa, Ganesan, Srinivasan, and Chang. "Realizing Sustainable Development via Modified Integrated Weighting MCDM Model for Ranking Agrarian Dataset." Sustainability 11, no. 21 (2019): 6060. http://dx.doi.org/10.3390/su11216060.

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One of the crucial elements in decision-making is the calculation of criteria weights. In this paper, a new Modified Integrated Weighting (MIW) method was proposed to combine the weights obtained using different weight calculation methods into a single set of weights. The weights express the relative significance of the criteria and play an essential role in making correct decisions. The proposed method considered both subjective knowledge of the experts and the objectivity of the problem by combining the subjective and objective weight assignment methods. The proposed weight calculation metho

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28

Kamble, Aditya, Kunal Rathod, and Poonam Hake. "Survey on Novel Approach for Crop Yield Prediction Using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 11, no. 2 (2023): 1389–92. http://dx.doi.org/10.22214/ijraset.2023.47649.

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Abstract: Agriculture relies heavily on the ability to predict crop yields. When it comes to crop yield, there are a number of factors at play. This research is focused on developing cost effective methods for predicting crop yields using available parameters like irrigation, fertilizer, and temperature. Sequential forward FS, sequential backward elimination FS, correlationbased FS, random forest variable importance, and the variance inflation factor algorithm are among the five Feature Selection (FS) algorithms discussed in this study. In general, machine learning techniques are well-suited t

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29

Carlsen, Lars. "Rating Potential Land Use Taking Ecosystem Service into Account—How to Manage Trade-Offs." Standards 1, no. 2 (2021): 79–89. http://dx.doi.org/10.3390/standards1020008.

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Rating the potential land use for crop production and/or ranching is typically a process where production gains counterbalance environmental losses. Whereas the production gains are often easy to verify, the environmental losses may render visibility through the changes in the ecosystem service, such as water and habitat quality, carbon storage, etc., thus, leaving the decision maker with a multi-criteria problem. The present study demonstrates how partial-order methodology constitutes an advantageous tool for rating/ranking land use that takes trade-offs into account. It is demonstrated that

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30

Unkovich, Murray, Jeff Baldock, and Steve Marvanek. "Which crops should be included in a carbon accounting system for Australian agriculture?" Crop and Pasture Science 60, no. 7 (2009): 617. http://dx.doi.org/10.1071/cp08428.

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Dryland agriculture is both a potential source and potential sink for CO2 and other greenhouse gases. Many carbon accounting systems apply simple emissions factors to production units to estimate greenhouse gas (GHG) fluxes. However, in Australia, substantial variation in climate, soils, and management across >20 Mha of field crop sowings and >30 Mha of sown pastures in the intensive land use zone, provides substantial challenges for a national carbon accounting system, and simple emission factors are unlikely to apply across the region. In Australia a model framework has been developed

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De Maine, M. J. "Testing the tuber deformation resistance of tetraploid and dihaploid potatoes." Journal of Agricultural Science 110, no. 3 (1988): 445–49. http://dx.doi.org/10.1017/s0021859600081983.

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SummaryDihaploids obtained from two tetraploids showed variation in tuber deformation resistance using a pendulum test and there were significant differences between them when used as parents in 2x × 4x crosses. Their ranking by tetraploid progeny means was the same as by clonal performance.However, whereas the pendulum test was useful for the rapid measurement of rheological properties of tubers, there was found to be no correlation of control cultivar rankings using this test with those obtained using the squeezing test or farm survey data.

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Bigman, David. "Approximation methods for ranking risky investment alternatives." Agricultural Economics 12, no. 1 (1995): 1–9. http://dx.doi.org/10.1111/j.1574-0862.1995.tb00346.x.

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Field, James E., Sukant K. Misra, and Octavio Ramirez. "Evaluating Crop and Revenue Insurance Products as Risk Management Tools for Texas Cotton Producers." Journal of Agricultural and Applied Economics 35, no. 1 (2003): 39–52. http://dx.doi.org/10.1017/s1074070800005927.

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This paper develops and illustrates the application of a procedure to evaluate and compare the cost effectiveness of alternative crop insurance products for cotton in terms of their effect on expected producer net returns and the variation of net returns. Farm unit-level cotton yields and state-level price distributions are estimated by a multivariate nonnormal parametric modeling procedure and used to simulate the net returns to alternative crop insurance products over a 10-year planning horizon. The ranking of alternative insurance products using third-degree stochastic dominance is presente

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34

Balasubramanian, R., and R. Govindasamy. "Ranking irrigation tanks for modernization." Agricultural Water Management 20, no. 2 (1991): 155–62. http://dx.doi.org/10.1016/0378-3774(91)90013-9.

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Neeser, Christophe, Renan Aguero, and Clarence J. Swanton. "Incident photosynthetically active radiation as a basis for integrated management of purple nutsedge (Cyperus rotundus)." Weed Science 45, no. 6 (1997): 777–83. http://dx.doi.org/10.1017/s0043174500088962.

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Artificial shading studies indicated that competition for photosynthetically active radiation (PAR) will limit tuber production in purple nutsedge. There were no data available to test whether there is a relationship between incident PAR underneath crop canopies and tuber production of this weed. In this study, the effect of crop competition on net reproductive rates of purple nutsedge tubers was measured under field conditions. Purple nutsedge plants were grown in association with bush beans, maize, maize and beans intercropped, sweet potato, pole beans, and bell pepper in a 2-yr field study

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D. R. PADMANI, G. R. MARUTHI SANKAR, K. N. AKBARI, M. S. GAJERA, G. S. SUTARIA, and M. K. KHISTARIA. "Sustainable rainfed crop sequence based on rainfall analysis under semi-arid vertisol." Journal of Agrometeorology 11, no. 1 (2009): 73–78. http://dx.doi.org/10.54386/jam.v11i1.1227.

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Based on field experiments conducted with 12 crop sequences (groundnut-groundnut, groundnut-cotton, groundnut-castor, groundnut-pearl millet, groundnut-sesame, cotton-cotton, cotton-castor, cotton-pearl millet, cottonsesame, castor-castor, pearl millet-pearl millet and sesame-sesame) with 3 fertilizer treatments (control, integrated nutrient management (INM) and recommended dose of fertilizer for different crops) during 1999 to 2005, a statistical selection is made to identify an efficient crop sequence for attaining maximum sustainable yield in a semi-arid Vertisol at Rajkot, Gujarat state. T

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Singh, Prakash. "Constraints Faced by the Farmers in the Adoption of Crop Rotation in Ayodhya District." Indian Research Journal of Extension Education 23, no. 2 (2023): 120–24. http://dx.doi.org/10.54986/irjee/2023/apr_jun/120-124.

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Crop rotation is an agronomic practice of growing a series of diff erent types of crops in the same area in a sequential season. Crop rotation is one of the most important practises in organic farming and carbon sequestration. It improves the soil’s physical and chemical properties and also changes the biological environment of the soil. Farmers face obstacles to adopt diverse crop rotation systems. Farmers face numerous barriers when it comes to adopt new or unfamiliar practises such as modifi ed crop rotations. These include market and fi nancial barriers, constraints regarding crop insuranc

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DAS, H. P., and S. B. GAONKAR. "Impact of weather on lowland rice cultivation and planning decisions over humid tropical India." MAUSAM 51, no. 3 (2021): 261–68. http://dx.doi.org/10.54302/mausam.v51i3.1784.

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The present study investigates the effect of the climatic environment on three different varieties of paddy. Crop coefficient in different stages of growth, the consumptive uses and radiation use efficiency has been determined and discussed in each case. Ideal date which could give optimum yield, has been determined in two varieties. The yield was correlated with weather parameters for each of the phases of the crop growth by forward ranking method and a statistical prediction model developed. Path analysis was applied to the predictors thus selected and direct and indirect contribution of the

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Pal, Badsha. "Crop Combination Region of Ausgram Gram Panchayet in West Bengal, India." International Journal of Scientific Research and Management (IJSRM) 5, no. 8 (2017): 6855–58. http://dx.doi.org/10.18535/ijsrm/v5i8.35.

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This paper is analysed the crop combination region in Ausgram Gram Panchayet of Purba Bardhaman District in West Bengal. Bardhaman district is known as „Dhaner Gola‟ of West Bengal. There are 11 villages of our study area of Ausgram Gram Panchayat. These are Ausgram, Ausgram chak, Alefnagar, Bannabagram, Bahamanpur, Barchatra, Karatia, Kunjanagar, Purbatati, Ramchandrapur and Warishpur. Agriculture is the dominant economic activity of the study area. Rice, Potato, Mustard, Til, Wheat, Jute, Sugarcane are the main crops cultivated in the study area. The ranking of crops analysis by J.C. Weaver‟

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40

Yamini, T., and Y. Prabhavathi. "Perception and constraints of farmers in adoption of crop intelligence systems in the state of Andhra Pradesh." INTERNATIONAL JOURNAL OF AGRICULTURAL SCIENCES 20, no. 1 (2024): 257–62. http://dx.doi.org/10.15740/has/ijas/20.1/257-262.

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The adoption of IoT based crop intelligence systems has been gaining momentum in modern agriculture, offering services to dry land farmers to enhance their farming practices and increase productivity. This study intend to analyze the farmers perception and constraints in adoption of IoT based crop intelligence systems in Anantapur district of Andhra Pradesh. Primary data was obtained from a random of 100 sample farmers and data obtained was analysed through mean score, rank order and Farrette’s ranking techniques. The results from the study indicated that the crop intelligence systems played a

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Thongmual, Noppakun, Chanchai Laoha, and Narong Wichapa. "An optimistic-pessimistic game cross-efficiency method based on a Gibbs entropy model for ranking decision making units." Bulletin of Electrical Engineering and Informatics 13, no. 2 (2024): 1411–23. http://dx.doi.org/10.11591/eei.v13i2.5747.

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The game cross-efficiency method, a commonly utilized approach for ranking decision-making units in tie-breaking scenarios, is based on secondary goals. However, in certain data envelopment analysis ranking problems, the classical game cross-efficiency method may fail to differentiate all decision-making units effectively. To address this limitation, it is prudent to explore the development of a new method that can enhance the ranking performance of the classical game cross-efficiency approach. In this study, we propose a novel Gibbs entropy linear programming model that integrates both optimi

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Dewi, Sartika, Hendra Cipta, and Sajaratud Dur. "Penerapan simple multi attribute rating technique exploiting ranks method dalam pemilihan jenis tanaman pangan di Desa Bandar Kwala." Majalah Ilmiah Matematika dan Statistika 23, no. 2 (2023): 138. http://dx.doi.org/10.19184/mims.v23i2.38136.

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In the field of agriculture in Indonesia, there are forms or types of plants, one of which is food crops. Currently, the food crops that develop in Bandar Kwala village are rice, corn, peanuts, and cassava. So that there is competition for nutrient absorption between plants and many types of plant-disturbing organisms that appear and cause farmers to experience crop failure, the selling price in the market is not proportional to the price of the seeds they buy and the care they do. For each type of plant that is planted, it is necessary to pay attention to the factors that affect the growth of

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MAY, K. W., and R. J. MORRISON. "EFFECT OF DIFFERENT PLOT BORDERS ON GRAIN YIELDS IN BARLEY AND WHEAT." Canadian Journal of Plant Science 66, no. 1 (1986): 45–51. http://dx.doi.org/10.4141/cjps86-006.

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Ten genotypes of barley (Hordeum vulgare L.) and 10 genotypes of wheat (Triticum aestivum L.) were grown with four types of plot borders (control, same genotype as the plot; unbordered; winter wheat; spring barley/wheat) to study the influence of plot borders on the ranking for yield of cereal genotypes. Plot yields increased as border competition decreased. However, the ranking of the different genotypes was not influenced by the type of plot border, except when a highly competitive barley genotype was used as a border with wheat. It was concluded that the type of plot border was of relativel

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Yarashynskaya, Aksana, and Piotr Prus. "Precision Agriculture Implementation Factors and Adoption Potential: The Case Study of Polish Agriculture." Agronomy 12, no. 9 (2022): 2226. http://dx.doi.org/10.3390/agronomy12092226.

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Some of the current economic, social and environmental challenges could potentially be addressed by Precision Agriculture (PA) introduction. However, the pace of PA introduction is found to be slower than expected in developed, transitioning and developing countries, with the PA adoption literature is predominantly been focused on research on PA adoption in developed world. This paper addresses these shortcomings by identification and explanation of PA adoption factors and compilation of the regional ranking of PA adoption potential for 16 Polish voivodships. It contributes to the PA adoption

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Thomas, W. T. B. "The use of random F3 families for cross prediction in spring barley." Journal of Agricultural Science 108, no. 2 (1987): 431–36. http://dx.doi.org/10.1017/s0021859600079478.

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SummaryRandom F3 families from six crosses typical of those being made in a spring barley breeding programme at the Scottish Crop Research Institute were used to rank the crosses on the basis of their predicted probabilities of exceeding a given standard for a number of characters. The predicted rankings were then compared with the observed rankings of the crosses based on observations of random inbred lines from the same crosses. The agreement between predicted and observed rankings was very good for single characters and good for bivariate combinations of the characters. The agreement for th

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Studnicki, Marcin, Manjit S. Kang, Marzena Iwańska, Tadeusz Oleksiak, Elżbieta Wójcik-Gront, and Wiesław Mądry. "Consistency of Yield Ranking and Adaptability Patterns of Winter Wheat Cultivars between Multi-Environmental Trials and Farmer Surveys." Agronomy 9, no. 5 (2019): 245. http://dx.doi.org/10.3390/agronomy9050245.

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Cultivar recommendation based on mean performance determined by multi-environment trials (METs) conducted on research stations could be unreliable and ineffective for assessing performance in farmers’ fields. It is important to improve the efficiency of cultivar recommendation based on METs. For this purpose, it would be useful to validate recommendations based on yield data obtained directly from farmers, i.e., through surveys. The aim of this study was to discuss the possibility and statistical methodology of assessing cultivar performance patterns based on yield data obtained through farmer

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Arapov, Denis, Nadezhda Yudina, Vladimir Kuritsyn, and Lyudmila Anatol'evna Korobova Lyudmila. "Mathematical support for information and control system for storing products with limited storage life." Modeling of systems and processes 17, no. 1 (2024): 7–18. http://dx.doi.org/10.12737/2219-0767-2024-17-1-7-18.

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The work presents a solution to the problem of developing mathematical support for an information and control system for storing products with a limited shelf life using the example of storing sugar beets in field conditions and in heaps at sugar factories based on experimental experiments published in the open press data. An end-to-end ranking of methods for storing root crops was carried out, starting with a root lying separately on the field (rank 0.1 points), from simple windrows and heaps (rank 0.2 points) to specialized root storage and ventilated piles covered with special bactericidal

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D N, Varshitha, and Savita Choudhary. "The new machine learning feature selection method used in fertilizer recommendation." Bulletin of Electrical Engineering and Informatics 13, no. 5 (2024): 3455–62. http://dx.doi.org/10.11591/eei.v13i5.7198.

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Fertilizer recommendation is the crucial factor to be considered in automation of agricultural predictions. Fertilizer fill the necessary portion of any farming region. There are some micronutrients and macro nutrients which need to be given to crops for proper growth. If fertilization is not done to an optimum level, it may badly harm the soil quality and crop health ,so optimum fertilization is important. In this paper we discuss fertilizer and nutrient recommender, where we have used a new feature selection methodology. We have shown the difference between two implementation cases consideri

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Casler, M. D., S. Sosa, A. R. Boe, and S. A. Bonos. "Soil Quality and Region Influence Performance and Ranking of Switchgrass Genotypes." Crop Science 59, no. 1 (2019): 221–32. http://dx.doi.org/10.2135/cropsci2018.06.0409.

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Calker, Klaas J. Van, Paul B. M. Berentsen, Gerard W. J. Giesen, and Ruud B. M. Huirne. "Identifying and ranking attributes that determine sustainability in Dutch dairy farming." Agriculture and Human Values 22, no. 1 (2005): 53–63. http://dx.doi.org/10.1007/s10460-004-7230-3.

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