首页|Plant disease detection using machine learning techniques based on internet of things (IoT) sensor network

Plant disease detection using machine learning techniques based on internet of things (IoT) sensor network

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  • NETL
  • NSTL
  • Wiley
In recent years, smart agriculture has grown rapidly. A crop disease is generallycaused by pests, insects, or pathogens and reduces the productivity of the crop byadversely affecting its yield. There is a severe loss of crops across the country dueto various crop diseases, and one reason is not being able to detect the disease inits early stages keeps them from finding a solution. An Internet of Things (IOT)sensor network is used to detect and classify diseases in leaves in this paper.Precision agriculture usesmachine learning techniques to increase crop growth,control the cultivation process, and enhance crop productivity with less humaninvolvement. IOT sensor networks are being used in precision agriculture usingmachine learning techniques. A result of the proposedmethod shows an overallaccuracy of 88%.

disease detectiongatewaysIOTmachine learningMQTTRaspberry Pisensor network

Bere Sachin Sukhadeo、Yogita Deepak Sinkar、Sarika Dilip Dhurgude、Shashikant V. Athawale

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Computer Engineering Department,Dattakala Group of Institutions Faculty ofEngineering Bhigwan, Pune, India

Computer Engineering Department,SVPM College of Engineering Malegaon(Bk.) Baramati, Pune, India

Computer Engineering Department,Genba Sopanrao Moze College ofEngineering, Pune, India

Department of Computer Engineering,AISSMS COE, Pune, India

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2025

10.1002/itl2.546

Internet Technology Letters

Internet Technology Letters

ISSN：
年,卷(期)：2025.8(2)
  • 28