• Prajwal V

Smart agriculture is an emerging concept, because IOT sensors are capable of providing information about agriculture fields and then act upon based on the user input. This work is primarily about the improvement of current agricultural practices by using modern technologies for better yield. This work provides a model of a smart greenhouse, which helps the farmers to carry out the work in a farm automatically without the use of much manual inspection. reenhouse, being a closed structure protects the plants from extreme weather conditions namely: wind, hailstorm, ultraviolet radiations, and insect and pest attacks. it is proposed to develop a Smart agriculture System that uses advantages of cutting-edge technologies such as NODEMCU, IOT, Wireless Sensor Network and Machine learning. The work aims at making use of evolving technology i.e. IOT and smart agriculture using automation. Monitoring environmental conditions is the major factor to improve yield of the efficient crops. The feature of this paper includes development of a system which can monitor temperature, humidity, moisture,Leaf detection and updating farmers news through our web application. Plant disease has being one of the major factors that is preventing the farmers from earning maximum profit from their harvest. This problem can be reducing if the farmers monitor their crops closely start from the planting stage until harvesting stage. This method could be working for small farm but if the farm is large, it could be a quite tedious task to be completed. The proposed system will provide a much better and convenient way for the farmers to monitor their plants. This system provides a disease classification feature which will be trained using a Machine learning technique. After the classification, it will return the classification. Then, a Web application will retrieve the data from the trained model. If there is any positive disease-presence result, it will display results with percent confidence plant in their farm got infected.

"Smart Greenhouse Farming using IOT and Machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.b708-b718, August-2022, Available :http://www.jetir.org/papers/JETIR2208183.pdf

"Smart Greenhouse Farming using IOT and Machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppb708-b718, August-2022, Available at : http://www.jetir.org/papers/JETIR2208183.pdf