Smart Agriculture System Using Internet of Things (IoT) and Machine Learning

One of the biggest factors for economic growth of any nation is agriculture. India, being one of the mass-producing countries in the world of different crops, still relies on traditional techniques rather than advancement over fields. Various advancements in field of agriculture have increased competence of certain farming activities making them reliable and convenient. Farmers face problems in coping with the changing climatic conditions as India has different weather & soil conditions in different regions. The introduction of IoT and machine learning-based smart agriculture aims to solve this issue and assist farmers in increasing yield quality and productivity. In addition to providing real-time agricultural monitoring assistance, it also offers suggestions for crops and fertilizers. The major goal of this study is to propose an Internet of Things (IoT) based Smart Agriculture system that would assist farmers in receiving suggestions based on a variety of parameters, such as temperature, pH, humidity.