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Improving crop production using an agro-deep learning framework in precision agriculture.

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第一作者： J,Logeshwaran

第一单位： Department of Computer Science, Christ University, Bengaluru, Karnataka, 560029, India.

作者： J,Logeshwaran ^[1] ; Durgesh,Srivastava ^[2] ; K Sree,Kumar ^[3] ; M Jenolin,Rex ^[3] ; Amal,Al-Rasheed ^[4] ; Masresha,Getahun ^[5] ; Ben Othman,Soufiene ^[6]

作者单位： Department of Computer Science, Christ University, Bengaluru, Karnataka, 560029, India. ^[1] Department of Computer Science and Engineering, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India. ^[2] Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, 603203, Tamil Nadu, India. ^[3] Department of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia. ^[4] Department of Computer Science and Information Technology, College of Engineering and Technology, Kebri Dehar University, Kebri Dehar, Ethiopia. masreshaggetahun@gmail.com. ^[5] PRINCE Laboratory Research, ISITcom, Hammam Sousse, University of Sousse, Sousse, Tunisia. ^[6]

关键词 Agricultural technology Agro deep learning framework Artificial intelligence in agriculture Crop monitoring Crop yield prediction Data analysis Deep learning Neural networks Precision agriculture Smart farming

医学主题词农作物(Crops, Agricultural);农业(Agriculture)

DOI 10.1186/s12859-024-05970-9

PMID 39487390

发布时间 2024-11-05

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