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Record #64987

Advanced deep learning approach for enhancing crop disease detection in agriculture using hyperspectral imaging

Original paper date
Dec 13, 2023
Institution
Department of Bioinformatics, Higher School of Food Science and Agri-Food Industry, Ahmed Hamidouche Av, Oued Smar, Algiers, Algeria · Department of Computer Science & Information Technology, School of Computing and Information Technology, REVA University, Rukmini Knowledge Park, Kattigenahalli, Bengaluru, Karnataka, India · Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India · Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu, India · Department of Computer Science Engineering, Dr. K. N. Modi University, Newai, Jaipur, Rajasthan, India · Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences (Deemed to be University), Coimbatore, India · Department of Computer Science and Engineering, University Institute of Engineering, Chandigarh University, Mohali, Punjab, India · Department of Plant Pathology, School of Agriculture, Lovely Professional University, Phagwara, Punjab, India · Department of Electronics and Communication Engineering, E.G.S. Pillay Engineering College, Nagapattinam, Tamilnadu, India
Open access
No
Article type
Research Article
Broad categories
(B/T) Computer Science(B/T) Data Science(B/T) Government(B/T) Technology(BLS) Agriculture
Citation lifecycle

How this paper is being cited

Pre-retraction
15
Same day
0
Post-retraction
10
% post-retraction
40.0%
~13.7 citations/yr before retraction · ~6.0 citations/yr after
— citing papers

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