A Khalil

Ministry of Agriculture and Land Reclaimation (MALR) - Agricultural Research Center

9 Gamaa St, Giza, Egypt

Agricultural research center

Giza, 12619

Egypt

  • Ministry of Agriculture and Land Reclaimation (MALR) - Agricultural Research Center

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A Hybrid Deep Learning Method for Crop Yield Prediction Using Comprehensive Multi-Source Data

Number of pages: 21 Posted: 29 Aug 2023
Benjamin Osibo, Tinghuai Ma, Huan Rong, A Khalil, Magdy Abdel Wahab, Bright Bediako-Kyeremeh, Lorenzo Mamelona and Lord Amoah
Nanjing University of Information Science and Technology, Nanjing University of Information Science and Technology, Nanjing University of Information Science and Technology, Ministry of Agriculture and Land Reclaimation (MALR) - Agricultural Research Center, Cairo University - Faculty of Science, Nanjing University of Information Science and Technology, Nanjing University of Information Science and Technology and Nanjing University of Information Science and Technology
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Abstract:

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convolutional neural network, corn yield, crop yield prediction, environmental data, long short-term memory, MODIS data, soybean yield