Digital Advancement in AgriTech by Using Evolutionary Techniques

Abstract

The Strategic decision to take machine learning and AI as a tool to enhance agriculture production is to enrich a farmer’s valuable time. It has an immense opportunity to make secured crops and healthy environment in due time. In extreme weather condition and drastic change in a situation many predictive and recognition techniques will improve not only the quality of crops but also their ability to producible. In this context, we have dedicated a proposed model which will predict for a real-time environment which crop will be benefitted on producing and for any particular area what should be the environmental condition for healthy productivity. This is done by using a machine learning algorithm in seasonal trend scenario with predictive analysis and applying a pattern recognition technique for discovering cropping pattern and their evaluation.