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Machine learning techniques for cereal crops yield prediction: A comprehensive review
SPG Tahi, VR Houndji, KV Salako… - … of Modelling and …, 2024 - arqiipubl.com
Cereals are sensitive to small changes in complex combinations of biotic and abiotic factors.
Such a complexity can be deciphered using techniques such as Machine learning (ML) …
Such a complexity can be deciphered using techniques such as Machine learning (ML) …
Pa-rdfknet: Unifying plant age estimation through rgb-depth fusion and knowledge distillation
Agriculture is facing bigger challenges in the 21st century due to the scarcity of resources.
Artificial intelligence is being integrated with agriculture to cater to people's needs, unlocking …
Artificial intelligence is being integrated with agriculture to cater to people's needs, unlocking …
Optimizing Fertilizer Usage using Machine Learning Techniques
India is a leading force in agriculture, responsible for more than 80% of the global crop
production. However, it experiences challenges like as droughts and floods that damage the …
production. However, it experiences challenges like as droughts and floods that damage the …