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    REVIEW

    Artificial Intelligence for Maximizing Agricultural Input Use Efficiency: Exploring Nutrient, Water and Weed Management Strategies

    Sumit Sow1,#, Shivani Ranjan1,#,*, Mahmoud F. Seleiman2,3, Hiba M. Alkharabsheh4,*, Mukesh Kumar1, Navnit Kumar1, Smruti Ranjan Padhan5, Dhirendra Kumar Roy1, Dibyajyoti Nath6, Harun Gitari7, Daniel O. Wasonga8

    Phyton-International Journal of Experimental Botany, Vol.93, No.7, pp. 1569-1598, 2024, DOI:10.32604/phyton.2024.052241

    Abstract Agriculture plays a crucial role in the economy, and there is an increasing global emphasis on automating agricultural processes. With the tremendous increase in population, the demand for food and employment has also increased significantly. Agricultural methods traditionally used to meet these requirements are no longer adequate, requiring solutions to issues such as excessive herbicide use and the use of chemical fertilizers. Integration of technologies such as the Internet of Things, wireless communication, machine learning, artificial intelligence (AI), and deep learning shows promise in addressing these challenges. However, there is a lack of comprehensive documentation… More >

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