Green gram yield prediction using linear regression by Tumusiime, Robert, Mabirizi, Vicent, Mirembe, D.P, Arinanye, T.R

Subjects: “…Crop yields…”
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Transboundary Impacts of NO₂ on Soil Nitrogen Fixation and Their Effects on Crop Yields in China by Jinhui Xie, Peiheng Yu, Xiangzheng Deng

“…This provides a solution for advancing sustainable agriculture by linking nitrogen cycle management with improved crop yields and environmental sustainability.…”
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Potential Evapotranspiration Reduction and Its Influence on Crop Yield in the North China Plain in 1961–2014 by Wanlin Dong, Chao Li, Qi Hu, Feifei Pan, Jyoti Bhandari, Zhigang Sun

“…The lower the humidity index in Hebei province, the lower the crop yield. Therefore, potential water shortages and water conflict should be considered in the future because of spatiotemporal humidity variations in the NCP.…”
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Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review by V. Ramesh and P. Kumaresan

Subjects: “…crop yield prediction, machine learning, deep learning, artificial neural networks, optimization algorithms…”
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Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning by M. Isabel Ramos, Juan J. Cubillas, Ruth M. Córdoba, Lidia M. Ortega

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Assessing the impact of residual film on agriculture: A meta-analysis of soil moisture, salinity, and crop yield by Jingrun Wang, Hongguang Liu, Reaihan E, Ping Gong, Pengfei Li, Changkun Yang, Ling Li, Yibin Xu, Jianshu Dong, Yong Guo

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Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning. by M Isabel Ramos, Juan J Cubillas, Ruth M Córdoba, Lidia M Ortega

“…The aim of this study is to anticipate accurate crop yield data at an early stage of the cropping season. …”
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Reinspecting the Climate-Crop Yields Relationship at a Finer Scale and the Climate Damage Evaluation: Evidence from China by Yongbin Zhu, Yajuan Shi, Changxin Liu, Bing Lyu, Zhenbo Wang

“…This paper reinvestigated the climate-crop yield relationship with the statistical model at crops’ growing stage scale. …”
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Soil Properties, Crop Yield, and Economic Return in Response to Lime Application on Acidic Nitisols of Southern Highlands of Ethiopia by Getahun Haile, Habtamu Berihun, Helina Abera, Getachew Agegnehu, Mulugeta Lemenih

“…Liming is becoming a common practice to amend soil acidity, but its effects on soil properties, crop yield, and farm income are not well studied. In this study, an on-farm liming experiment was conducted for two consecutive years (2020-2021) on acidic Nitisols (pH < 5.5) in Southern Ethiopia. …”
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Crop yield prediction through machine learning: A path towards sustainable agriculture and climate resilience in Saudi Arabia by Mohammad M. Islam, Majed Alharthi, Rotana S. Alkadi, Rafiqul Islam, Abdul Kadar Muhammad Masum

“…Machine learning models were trained using crop yield prediction data to provide recommendations for future crop production. …”
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Effects of management of plastic and straw mulching management on crop yield and soil salinity in saline-alkaline soils of China: A meta-analysis by Ying Song, Jineng Sun, Mingjun Cai, Jinyu Li, Meizhen Bi, Mingxiu Gao

“…Ground cover techniques, such as mulching, can mitigate soil salinity, but their effects on crop yields and soil salinity remains controversial. …”
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Studying a collection of common-wheat varieties for leaf rust resistance, crop yield and grain quality in the environmental conditions of Novosibirsk region by L. P. Sochalova, V. A. Aparina, N. I. Boyko, E. V. Zuev, E. V. Morozova, E. V. Musinov, N. A. Vinichenko, I. N. Leonova, V. V. Piskarev

“…Oms kaya 44 variety showing crop yield of 440g/m2 can be used as a donor for Lr19 and partially effective Lr26. …”
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Random forest model that incorporates solar-induced chlorophyll fluorescence data can accurately track crop yield variations under drought conditions by Guangpo Geng, Qian Gu, Hongkui Zhou, Bao Zhang, Zuxin He, Ruolin Zheng

“…Timely and reliable crop yield estimation is vital for ensuring both global and regional food security. …”
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Erratum to “Assessing the Short-Term Effects of No-Till on Crop Yield, Greenhouse Gas Emissions, and Soil C and N Pools in a Cover-Cropped, Biodynamic Mediterranean Vineyard” by Cristina Lazcano, Noelymar Gonzalez-Maldonado, Erika H. Yao, Connie T. F. Wong, Mia Falcone, Jean Dodson Peterson, L. Federico Casassa, Bwalya Malama, Charlotte Decock

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Implications of irrigation water quality in tropical farms by B. Guerra Tamara, A. Torregroza-Espinosa, D. Pinto Osorio, M. Moreno Pallares, A. Corrales Paternina, A. Echeverría González

Subjects: “…crops yield…”
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Effective methods of rational water resource use in the agrarian sector of Kazakhstan by Yerzhan Amirbekuly, Adaskhan Daribayeva, Aigul Toxanova, Darima Zhenskhan, Nurzhamal Kurmankulova

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Intensified Drought Threatens Future Food Security in Major Food-Producing Countries by Zihao Liu, Aifeng Lv, Taohui Li

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The effect of irrigation practice and water consumption using aqua-crop by M.D. Teweldebrihan, M.O. Dinka

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The Kerbernez long-term experiment: A dataset on crop yield and soil organic matter evolution in forage crop rotations and permanent grasslands in a temperate oceanic climateData Gouv by Anne-Isabelle Graux, Alice Cadéro, Fabien Ferchaud, Françoise Vertès

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Lowering light intensity while extending photoperiod at a constant daily light integral synergistically interacts with warm temperature to enhance leaf expansion and crop yield in lettuce in the absence of far-red light by Sang Jun Jeong, Sang Jun Jeong, Shuyang Zhen, Qianwen Zhang, Qianwen Zhang, Genhua Niu

“…Applying FR light or lowering light intensity over a longer photoperiod at a constant daily light integral (DLI) can increase crop yield by enhancing leaf expansion and photon capture. …”
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