https://iaeme.com/Home/journal/IJM 2153 editor@iaeme.com International Journal of Management (IJM) Volume 11, Issue 8, August 2020, pp. 2153–2179, Article ID: IJM_11_08_188 Available online at https://iaeme.com/Home/issue/IJM?Volume=11&Issue=8 Journal Impact Factor (2019): 9.6780 (Calculated by GISI) www.jifactor.com ISSN Print: 0976-6502 and ISSN Online: 0976-6510 DOI: 10.34218/IJM.11.8.2020.188 © IAEME Publication Scopus Indexed WIDE-AREA AGRICULTURAL ADVANCED MONITORING AND PREDICTION SYSTEM USING IOT AND MACHINE LEARNING Dr. Rayees Afzal Mir Associate Professor, Glocal University. Mirzapur Pole, Saharanpur, Uttar Pradesh, India. Mohsina Ishrat Kashmir University, Srinagar, Jammu and Kashmir, India. ABSTRACT In spite of the insight commonality might have regarding rural follow, reality is that these days agricultural science diligence is correct, precise, data-driven, and vigorous than ever. The emanation of the technologies supported net of Things (IoT) has reformed nearly every trade like sensible town, sensible health, smart grid, smart home, as well as ‘‘smart agriculture or exactitude agriculture”. Applying machine learning victimization the IoT information analytics in agricultural sector can rise new advantages to extend the amount and quality of production from the crop fields to satisfy the increasing food demand. Such world-shaking advancements area unit rocking these rural approaches and generating novel and best possibilities besides variety of limitations. This paper climaxes the facility and capability of computing techniques as well as net of things, wireless detector networks, information analytics and machine learning in agriculture. The paper planned the prediction model of Apple unwellness within the apple orchards of geographical region depression victimization information analytics and Machine learning in IoT system. what is more, an area survey was conducted to grasp from the farmers regarding the trending technologies and their impact in exactitude agriculture. Finally, the paper discusses the challenges faced once incorporating these technologies within the ancient farming approaches. Keywords: Agriculture, IoT, Prediction System, Machine Learning Cite this Article: Rayees Afzal Mir and Mohsina Ishrat, Wide-area Agricultural advanced Monitoring and Prediction System using IOT and Machine Learning, International Journal of Management, 11 (8), 2020, pp. 2153–2179. https://iaeme.com/Home/issue/IJM?Volume=11&Issue=8