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sCrop: A Novel Device for Sustainable Automatic Disease Prediction, Crop Selection, and Irrigation in Internet-of-Agro-Things for Smart Agriculture
Accepted Manuscript version of an article introducing the innovative idea of the Internet-of-Agro-Things (IoAT) with an explanation of the automatic detection of plant disease for the development of Agriculture Cyber-Physical System (ACPS). An accuracy of 99.24% is achieved by the proposed plant disease prediction framework.
Date:
August 15, 2021
Creator:
Udutalapally, Venkanna; Mohanty, Saraju P.; Pallagani, Vishal & Khandelwal, Vedant
System:
The UNT Digital Library