Agricultural Monitoring System Using Image Recognition

In today’s fast paced scenario, it is very common for people to hustle themselves for completing their daily tasks. Be it a trivial job to an effectively competitive one, people are so focused to achieve the solutions. There should be no interference in between the completion of work, else the work is either paused and resumed later. People focus on instantaneous solutions and in search of it, they get tied up in other discrepancies. One such example is the field of Agriculture where farmers produce crops so as to get a better yield in a short span of time. The disrupting factor for a better yield would be plant diseases that occur unexpectedly. They create a major threat towards food safety and also the loss incurred will in turn be inevitable. Manual working on monotonous tasks like this is very much time consuming. The proposed algorithm aims to create a farmer’s personal guide that dissipates the pressure and helps them to analyse the best suitable conditions for a better farming. It helps them to identify, analyse, compare, and conclude a solution that allows them to work in a peaceful environment. The proposed work purely focuses on producing results based on image recognition and also facilitates predictions based on data collected from the preexisting datasets. A chat assistant is also enabled to provide an user interactive medium which will try to solve the queries faced by the users.