Showing 21 - 40 results of 318 for search '"crop yield"', query time: 0.06s Refine Results
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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

    Published 2025-01-01
    “…The aim of this study is to anticipate accurate crop yield data at an early stage of the cropping season. …”
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    Article
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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

    Published 2023-01-01
    “…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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    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

    Published 2020-01-01
    “…This paper reinvestigated the climate-crop yield relationship with the statistical model at crops’ growing stage scale. …”
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    Article
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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

    Published 2024-10-01
    “…Machine learning models were trained using crop yield prediction data to provide recommendations for future crop production. …”
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    Article
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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

    Published 2025-03-01
    “…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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    Article
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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

    Published 2025-03-01
    “…Timely and reliable crop yield estimation is vital for ensuring both global and regional food security. …”
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    Article
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