Статті в журналах з теми "Crop yields – Statistical methods"
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Zhao, Chuang, Bing Liu, Shilong Piao, Xuhui Wang, David B. Lobell, Yao Huang, Mengtian Huang, et al. "Temperature increase reduces global yields of major crops in four independent estimates." Proceedings of the National Academy of Sciences 114, no. 35 (August 15, 2017): 9326–31. http://dx.doi.org/10.1073/pnas.1701762114.
Повний текст джерелаBischokov, Ruslan M. "Analysis, modelling and forecasting of crop yields using artificial neural networks." RUDN Journal of Agronomy and Animal Industries 17, no. 2 (June 16, 2022): 146–57. http://dx.doi.org/10.22363/2312-797x-2022-17-2-146-157.
Повний текст джерелаAfshar, Mehdi H., Timothy Foster, Thomas P. Higginbottom, Ben Parkes, Koen Hufkens, Sanjay Mansabdar, Francisco Ceballos, and Berber Kramer. "Improving the Performance of Index Insurance Using Crop Models and Phenological Monitoring." Remote Sensing 13, no. 5 (March 2, 2021): 924. http://dx.doi.org/10.3390/rs13050924.
Повний текст джерелаStorchak, Irina Gennadyevna, and Fedor Vladimirovich Eroshenko. "Use of remote methods for monitoring formation of yield of spring barley." Agrarian Scientific Journal, no. 11 (November 23, 2020): 58–61. http://dx.doi.org/10.28983/asj.y2020i11pp58-61.
Повний текст джерелаPOSHYVALOVA, Olena. "Statistical model for evaluation of the impact of climatic conditions on the crops production: the regional aspects." Economics. Finances. Law, no. 10 (October 29, 2021): 23–28. http://dx.doi.org/10.37634/efp.2021.10.5.
Повний текст джерелаSvotwa, Ezekia, Anxious J. Masuka, Barbara Maasdorp, Amon Murwira, and Munyaradzi Shamudzarira. "Remote Sensing Applications in Tobacco Yield Estimation and the Recommended Research in Zimbabwe." ISRN Agronomy 2013 (December 15, 2013): 1–7. http://dx.doi.org/10.1155/2013/941873.
Повний текст джерелаGong, Liyun, Miao Yu, Shouyong Jiang, Vassilis Cutsuridis, and Simon Pearson. "Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN." Sensors 21, no. 13 (July 1, 2021): 4537. http://dx.doi.org/10.3390/s21134537.
Повний текст джерелаNyéki, Anikó, and Miklós Neményi. "Crop Yield Prediction in Precision Agriculture." Agronomy 12, no. 10 (October 11, 2022): 2460. http://dx.doi.org/10.3390/agronomy12102460.
Повний текст джерелаPortukhay, Oksana, Sergij Lyko, Oleksandr Mudrak, Halyna Mudrak, and Iryna Lohvynenko. "Agroecological Bases of Sustainable Development Strategy for the Rural United Territorial Communities of the Western Polissya Region." Scientific Horizons 24, no. 6 (November 24, 2021): 50–61. http://dx.doi.org/10.48077/scihor.24(6).2021.50-61.
Повний текст джерелаPapadavid, G., and L. Toulios. "The use of earth observation methods for estimating regional crop evapotranspiration and yield for water footprint accounting." Journal of Agricultural Science 156, no. 5 (October 9, 2017): 599–617. http://dx.doi.org/10.1017/s0021859617000594.
Повний текст джерелаGarcía-León, David, Raúl López-Lozano, Andrea Toreti, and Matteo Zampieri. "Local-Scale Cereal Yield Forecasting in Italy: Lessons from Different Statistical Models and Spatial Aggregations." Agronomy 10, no. 6 (June 5, 2020): 809. http://dx.doi.org/10.3390/agronomy10060809.
Повний текст джерелаRoloff, G., R. de Jong, R. P. Zentner, C. A. Campbell, and V. W. Benson. "Estimating spring wheat yield variability with EPIC." Canadian Journal of Soil Science 78, no. 3 (August 1, 1998): 541–49. http://dx.doi.org/10.4141/s97-063.
Повний текст джерелаShammi, Sadia Alam, and Qingmin Meng. "Modeling the Impact of Climate Changes on Crop Yield: Irrigated vs. Non-Irrigated Zones in Mississippi." Remote Sensing 13, no. 12 (June 9, 2021): 2249. http://dx.doi.org/10.3390/rs13122249.
Повний текст джерелаZymaroieva, A., T. Fedoniuk, S. Matkovska, A. Pinkin, and T. Melnychuk. "Analysis of the spatio-temporal trend of sugar beet yield in Polissya and forest steppe ecoregions within Ukraine." IOP Conference Series: Earth and Environmental Science 1049, no. 1 (June 1, 2022): 012073. http://dx.doi.org/10.1088/1755-1315/1049/1/012073.
Повний текст джерелаBeula, D. Hebsiba, S. Srinivasan, and C. D. Nanda Kumar. "Crop Insurance Prediction Using R for Pradhan Mantri Fasal Bima Yojana in TamilNadu." International Journal of Risk and Contingency Management 10, no. 4 (October 2021): 46–57. http://dx.doi.org/10.4018/ijrcm.2021100104.
Повний текст джерелаTarariko, O., T. Ilienko, T. Kuchma, and V. Velychko. "Long-term prediction of climate change impact on the productivity of grain crops in Ukraine using satellite data." Agricultural Science and Practice 4, no. 2 (July 15, 2017): 3–13. http://dx.doi.org/10.15407/agrisp4.02.003.
Повний текст джерелаAl-Adhaileh, Mosleh Hmoud, and Theyazn H. H. Aldhyani. "Artificial intelligence framework for modeling and predicting crop yield to enhance food security in Saudi Arabia." PeerJ Computer Science 8 (September 30, 2022): e1104. http://dx.doi.org/10.7717/peerj-cs.1104.
Повний текст джерелаMoretti de Souza, Jorge Luiz, Stefanie Lais Kreutz Rosa, Karla Regina Piekarski, and Rodrigo Yoiti Tsukahara. "Influence of the AquaCrop soil module on the estimation of soybean and maize crop yield in the State of Parana, Brazil." Agronomía Colombiana 38, no. 2 (May 1, 2020): 234–41. http://dx.doi.org/10.15446/agron.colomb.v38n2.78659.
Повний текст джерелаMyagkova, Elena Georgievna. "Application of statistical methods in the analysis of sweet pepper yield." Agrarian Scientific Journal, no. 10 (October 27, 2020): 50–55. http://dx.doi.org/10.28983/asj.y2020i10pp50-55.
Повний текст джерелаXie, Yi, and Jianxi Huang. "Integration of a Crop Growth Model and Deep Learning Methods to Improve Satellite-Based Yield Estimation of Winter Wheat in Henan Province, China." Remote Sensing 13, no. 21 (October 30, 2021): 4372. http://dx.doi.org/10.3390/rs13214372.
Повний текст джерелаPiasecka, Anna, Piotr Kachlicki, and Maciej Stobiecki. "Analytical Methods for Detection of Plant Metabolomes Changes in Response to Biotic and Abiotic Stresses." International Journal of Molecular Sciences 20, no. 2 (January 17, 2019): 379. http://dx.doi.org/10.3390/ijms20020379.
Повний текст джерелаRea, Ramón, Orlando De Sousa-Vieira, Alida Díaz, Miguel Ramón, Rosaura Briceño, José George, and Jhonny Demey. "Assessment of yield stability in sugarcane genotypes using non-parametric methods." Agronomía Colombiana 33, no. 2 (May 1, 2015): 131–38. http://dx.doi.org/10.15446/agron.colomb.v33n2.49324.
Повний текст джерелаSylvester-Bradley, R., D. R. Kindred, B. Marchant, S. Rudolph, S. Roques, A. Calatayud, S. Clarke, and V. Gillingham. "Agronōmics: transforming crop science through digital technologies." Advances in Animal Biosciences 8, no. 2 (June 1, 2017): 728–33. http://dx.doi.org/10.1017/s2040470017001029.
Повний текст джерелаThai, Thi Huyen, Richard Ansong Omari, Dietmar Barkusky, and Sonoko Dorothea Bellingrath-Kimura. "Statistical Analysis versus the M5P Machine Learning Algorithm to Analyze the Yield of Winter Wheat in a Long-Term Fertilizer Experiment." Agronomy 10, no. 11 (November 13, 2020): 1779. http://dx.doi.org/10.3390/agronomy10111779.
Повний текст джерелаHoušť, Martin, Blanka Procházková, and Pavel Hledík. "Effect of different tillage intensity on yields and yield-forming factors in winter wheat." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, no. 5 (2012): 89–96. http://dx.doi.org/10.11118/actaun201260050089.
Повний текст джерелаKim, Nari, Kyung-Ja Ha, No-Wook Park, Jaeil Cho, Sungwook Hong, and Yang-Won Lee. "A Comparison Between Major Artificial Intelligence Models for Crop Yield Prediction: Case Study of the Midwestern United States, 2006–2015." ISPRS International Journal of Geo-Information 8, no. 5 (May 21, 2019): 240. http://dx.doi.org/10.3390/ijgi8050240.
Повний текст джерелаKovalev, I. V., D. I. Kovalev, Z. E. Shaporova, A. A. Voroshilova, and D. V. Borovinskii. "Statistical analysis of agro-climatic factors of crop failure of agricultural plots." IOP Conference Series: Earth and Environmental Science 1112, no. 1 (December 1, 2022): 012093. http://dx.doi.org/10.1088/1755-1315/1112/1/012093.
Повний текст джерелаHubenko, L. V., and O. Y. Lyubchich. "The impact of fertilizers on the productivity of white mustard." Scientific Journal Grain Crops 4, no. 2 (December 11, 2020): 289–95. http://dx.doi.org/10.31867/2523-4544/0137.
Повний текст джерелаMelikhova, Elena. "Regularities of beet root crop yield formation based on retrospective data." E3S Web of Conferences 217 (2020): 10007. http://dx.doi.org/10.1051/e3sconf/202021710007.
Повний текст джерелаÖFVERSTEN, J., L. JAUHIAINEN, H. NIKANDER, and Y. SALO. "Assessing and predicting the local performance of spring wheat varieties." Journal of Agricultural Science 139, no. 4 (December 2002): 397–404. http://dx.doi.org/10.1017/s0021859602002642.
Повний текст джерелаKapusta, Franciszek. "Rynek warzyw w Polsce i jego powiązania międzynarodowe." Zeszyty Naukowe SGGW w Warszawie - Problemy Rolnictwa Światowego 17(32), no. 2 (June 30, 2017): 93–105. http://dx.doi.org/10.22630/prs.2017.17.2.29.
Повний текст джерелаZhildikbaeva, A., A. Zhyrgalova, and V. Nilipovsky. "Effect of heavy metals on soil fertility and crop yields." Problems of AgriMarket, no. 4 (December 15, 2022): 148–55. http://dx.doi.org/10.46666/2022-4.2708-9991.16.
Повний текст джерелаMashchenko, Yu V., I. M. Semeniaka, M. I. Cheriachukin, and O. M. Hryhoreva. "Effectiveness of short-term crop rotations under different fertilization systems in the insufficient moisture zone of the Right-Bank Steppe of Ukraine." Scientific Journal Grain Crops 6, no. 1 (August 15, 2022): 169–76. http://dx.doi.org/10.31867/2523-4544/0220.
Повний текст джерелаRosenstock, Todd, and Patrick Brown. "Integration of Precision Agriculture and Systems Modeling in Pistachio." HortScience 40, no. 4 (July 2005): 1141E—1142. http://dx.doi.org/10.21273/hortsci.40.4.1141e.
Повний текст джерелаChen, Shuo, Weihang Liu, Puyu Feng, Tao Ye, Yuchi Ma, and Zhou Zhang. "Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield." Remote Sensing 14, no. 10 (May 12, 2022): 2340. http://dx.doi.org/10.3390/rs14102340.
Повний текст джерелаSHARIFIFAR, Amin, Hadi GHORBANI, and Fereydoon SARMADIAN. "Soil suitability evaluation for crop selection using fuzzy sets methodology." Acta agriculturae Slovenica 107, no. 1 (April 6, 2016): 159. http://dx.doi.org/10.14720/aas.2016.107.1.16.
Повний текст джерелаWahab, Ibrahim, Magnus Jirström, and Ola Hall. "An Integrated Approach to Unravelling Smallholder Yield Levels: The Case of Small Family Farms, Eastern Region, Ghana." Agriculture 10, no. 6 (June 6, 2020): 206. http://dx.doi.org/10.3390/agriculture10060206.
Повний текст джерелаMessina, Carlos D., Fred van Eeuwijk, Tom Tang, Sandra K. Truong, Ryan F. McCormick, Frank Technow, Owen Powell, et al. "Crop Improvement for Circular Bioeconomy Systems." Journal of the ASABE 65, no. 3 (2022): 491–504. http://dx.doi.org/10.13031/ja.14912.
Повний текст джерелаMessina, Carlos D., Fred van Eeuwijk, Tom Tang, Sandra K. Truong, Ryan F. McCormick, Frank Technow, Owen Powell, et al. "Crop Improvement for Circular Bioeconomy Systems." Journal of the ASABE 65, no. 3 (2022): 491–504. http://dx.doi.org/10.13031/ja.14912.
Повний текст джерелаPejić, Borivoj, Ksenija Mačkić, Ivana Bajić, Vladimir Sikora, Dejan Simić, Milena Jančić-Tovjanin, and Boško Gajić. "Calculation of maize evapotranspiration using evaporation and reference evapotranspiration methods." Zemljiste i biljka 69, no. 2 (2020): 15–25. http://dx.doi.org/10.5937/zembilj2002015p.
Повний текст джерелаHamed, Raed, Anne F. Van Loon, Jeroen Aerts, and Dim Coumou. "Impacts of compound hot–dry extremes on US soybean yields." Earth System Dynamics 12, no. 4 (November 30, 2021): 1371–91. http://dx.doi.org/10.5194/esd-12-1371-2021.
Повний текст джерелаLikhatsevich, A. P. "Mathematical model of agricultural crop yield." Proceedings of the National Academy of Sciences of Belarus. Agrarian Series 59, no. 3 (August 5, 2021): 304–18. http://dx.doi.org/10.29235/1817-7204-2021-59-3-304-318.
Повний текст джерелаBornhofen, Elesandro, Giovani Benin, Lindolfo Storck, Leomar Guilherme Woyann, Thiago Duarte, Matheus Giovane Stoco, and Sergio Volmir Marchioro. "Statistical methods to study adaptability and stability of wheat genotypes." Bragantia 76, no. 1 (March 2017): 1–10. http://dx.doi.org/10.1590/1678-4499.557.
Повний текст джерелаJury, Mark R. "Ethiopian Highlands Crop-Climate Prediction: 1979–2009." Journal of Applied Meteorology and Climatology 52, no. 5 (May 2013): 1116–26. http://dx.doi.org/10.1175/jamc-d-12-0139.1.
Повний текст джерелаZawieja, Bogna, Ewa Bakinowska, and Andrzej Bichoński. "Evaluation of spring barley breeding lines in a two-year multi-location experiment using some statistical methods." Biometrical Letters 53, no. 2 (December 1, 2016): 149–62. http://dx.doi.org/10.1515/bile-2016-0011.
Повний текст джерелаStettmer, Matthias, Martin Mittermayer, Franz-Xaver Maidl, Jürgen Schwarzensteiner, Kurt-Jürgen Hülsbergen, and Heinz Bernhardt. "Three Methods of Site-Specific Yield Mapping as a Data Source for the Delineation of Management Zones in Winter Wheat." Agriculture 12, no. 8 (July 29, 2022): 1128. http://dx.doi.org/10.3390/agriculture12081128.
Повний текст джерелаKussaiynov, T. A., and B. O. Assilov. "Impact of technological innovations on labor productivity in crop production." Problems of AgriMarket, no. 3 (September 15, 2022): 82–89. http://dx.doi.org/10.46666/2022-3.2708-9991.09.
Повний текст джерелаVieira, Sidney Rosa, and Sonia Carmela Falci Dechen. "Spatial variability studies in São Paulo, Brazil along the last twenty five years." Bragantia 69, suppl (2010): 53–66. http://dx.doi.org/10.1590/s0006-87052010000500007.
Повний текст джерелаChristias, Panagiotis, Ioannis N. Daliakopoulos, Thrassyvoulos Manios, and Mariana Mocanu. "Comparison of Three Computational Approaches for Tree Crop Irrigation Decision Support." Mathematics 8, no. 5 (May 3, 2020): 717. http://dx.doi.org/10.3390/math8050717.
Повний текст джерелаMeng, Linghua, Huanjun Liu, Susan L. Ustin, and Xinle Zhang. "Predicting Maize Yield at the Plot Scale of Different Fertilizer Systems by Multi-Source Data and Machine Learning Methods." Remote Sensing 13, no. 18 (September 19, 2021): 3760. http://dx.doi.org/10.3390/rs13183760.
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