Disease detection in different plants to save the environment using IOT, image processing and machine learning: a review

Diseases, insects and weeds together hinders the crop productivity and destroy crops. A vital point that needs to be tackled for economic growth and product development is detecting various plant diseases at an early stage. Classifying and identifying diseases using traditional methods is a difficult task that takes a lot of time, excessive work, extensive knowledge about plant diseases, and continuous farm monitoring. Therefore, plant diseases must be automatically identified and classified, which can be accomplished by utilising the internet of things (IoT) and some machine learning algorithms. Through automation, IoT overcomes human involvement in a particular task. Various IoT sensing devices such as thermal sensors and soil moisture sensors including colour sensors and humidity sensors can be used to detect the presence of plant disease. It helps in selective spraying and prevents to use the automatic medicine spraying process which affects the surrounding environment.