Image processing in agriculture: A tool for smart farmers

Farmer worldwide face huge problems in identifying pest and pathogens which causes tremendous losses thereby reducing yield loss. The main sources of worry in agriculture were drought, fertilizers, herbicides, and quality of yield. The majority of the time, knowledge was necessary to examine the issues, which might be a time consuming and expensive issue in developing nations. To accurately and economically monitor agronomic data one of the approaches that may be employed was image processing. In recent years, optical sensors, including hyper spectral and consumer-grade cameras, have been rapidly developed these days in order to provide the best possible picture quality. Instead of using visual or other forms of sensor input, several researches have concentrated on band characteristics for measuring plant health via vegetation indices (VIs). Image processing have numerous applications in weed control, detection of nutrients and minerals etc.