Rice disease identification through leaf image and IoT based smart rice field monitoring system

• Main Authors: Islam, Md Nahidul, Ahmed, Fahim, Ahammed, Md Tanvir, Rashid, Mamunur, Bari, Bifta Sama
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/42293/1/Rice%20disease%20identification%20through%20leaf%20image.pdf; http://umpir.ump.edu.my/id/eprint/42293/2/Rice%20disease%20identification%20through%20leaf%20image%20and%20IoT%20based%20smart%20rice%20field%20monitoring%20system_ABS.pdf; http://umpir.ump.edu.my/id/eprint/42293/; https://doi.org/10.1007/978-981-19-2095-0_45

Rice disease identification in early-stage, proper medication in case of disease affection and managing irrigation at the appropriate time is the most consequential phenomena to increase the production level of the rice. In this paper, a novel technique to diagnose the rice diseases and smart medica...