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Coupling Process-Based Models and Machine Learning Algorithms for Predicting Yield and Evapotranspiration of Maize in Arid Environments por Attia, Ahmed, Govind, Ajit, Qureshi, Asad Sarwar, Feike, Til, Rizk, Mosa Sayed, Shabana, Mahmoud Mohamed Abd ElHay, Kheir, Ahmed M.S.

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The combined impact of shallow groundwater and soil salinity on evapotranspiration using remote sensing in an agricultural alluvial setting por Aboelsoud, Hesham, Habib, Ayman, Engel, Bernard A., Hashem, Ahmed A., El-Hassan, Waleed Abou, Govind, Ajit, Elnashar, Abdelrazek, Eid, Mona, Kheir, Ahmed M.S.

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The Fusion Impact of Compost, Biochar, and Polymer on Sandy Soil Properties and Bean Productivity por Kheir, Ahmed M.S., Govind, Ajit, Zoghdan, Medhat G., Khalifa, Tamer, Aboelsoud, Hesham, Shabana, Mahmoud Mohamed Abd ElHay

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Developing automated machine learning approach for fast and robust crop yield prediction using a fusion of remote sensing, soil, and weather dataset por Kheir, Ahmed M.S., Govind, Ajit, Nangia, Vinay, Devkota Wasti, Mina Kumari, Elnashar, Abdelrazek, Omar, Mohie, Feike, Til

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Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality por Kheir, Ahmed M.S., Govind, Ajit, Nangia, Vinay, El-Maghraby, Maher A., Elnashar, Abdelrazek, Ahmed, Mukhtar, Aboelsoud, Hesham, Mostafa, Rania, Feike, Til

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