Computer

Agriculture is a key economic driver. It is a key to healthy biosphere. People depend on a wide range of agricultural products in almost all aspects of life. Farmers need to cope with climate change, and meet rising demands for more food of higher food quality. In order to escalate the yield and growth of crops, the farmer needs to be aware of the climatic conditions, hence aiding its decision of growing the suitable crop, under those factors. IoT based Smart Farming improves the entire Agriculture system by monitoring the field in real-time. It keeps various factors like humidity, temperature, soil etc. under check and gives a crystalclear real-time observation. Machine learning in agriculture is used to improve the productivity and quality of the crops in the agriculture sector. Use of appropriate algorithms on the sensed data can help in recommendation of suitable crop. Keywords— Agriculture, IoT, Machine Learning, Farmers.