Towards the Modeling and Prediction of the Yield of Oilseed Crops: A Multi-Machine Learning Approach
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- Hung Vo Thanh & Sajad Ebrahimnia Taremsari & Benyamin Ranjbar & Hossein Mashhadimoslem & Ehsan Rahimi & Mohammad Rahimi & Ali Elkamel, 2023. "Hydrogen Storage on Porous Carbon Adsorbents: Rediscovery by Nature-Derived Algorithms in Random Forest Machine Learning Model," Energies, MDPI, vol. 16(5), pages 1-19, February.
- Rahimi, Mohammad & Mashhadimoslem, Hossein & Vo Thanh, Hung & Ranjbar, Benyamin & Safarzadeh Khosrowshahi, Mobin & Rohani, Abbas & Elkamel, Ali, 2023. "Yield prediction and optimization of biomass-based products by multi-machine learning schemes: Neural, regression and function-based techniques," Energy, Elsevier, vol. 283(C).
- Baoshan Wang & Qingxi Liao & Lei Wang & Caixia Shu & Mei Cao & Wenbin Du, 2023. "Design and Test of Air-Assisted Seed-Guiding Device of Precision Hill-Seeding Centralized Seed-Metering Device for Sesame," Agriculture, MDPI, vol. 13(2), pages 1-21, February.
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Keywords
agro-morphological; data-driven; machine learning; seed yield; sensitivity analysis;All these keywords.
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