Agriculture and AI

摘要

What comes as a blessing to us is the ability to give life to a seedling and let it spread its roots across the fertile soil, while this seedling grows into a tree and owes us a fruit. Times have changed and ‘progress’ has taken up a distinct meaning. What makes one distinctive among the others is the influence of technology, owing to a progressive and swift processing of outputs. On a larger scale, Agriculture has graciously taken in all of the upcoming challenges and developments across different fields but has still proven itself to be the backbone of a progressive economy. This report aims at making a subtle concomitance of Agriculture with the elements of Machine Learning. Machine Learning is a multi-faceted métier that aims at producing interactive outputs for a specific material or object. When combined with agriculture, it can fill in the gaps and loopholes by making it more efficient and simpler for usage, eventually fulfilling the basic essence and objective of technology. This paper makes an attempt to foray into how AI (Artificial Intelligence) and Machine Learning can provide effortless solutions to provide better results, perfect precision in farming and also aim for sustainability in Agriculture. With the help of various algorithms and the deployment of robotics, farmers can effectively utilize an alternative that yields comprehensible use. Farmers will explore a new enhancement when using smart irrigation systems, lucid water management systems that are interactive and many more. Handling these devices will not be tedious, as the main objective is to make it comprehensible. In addition to this, the paper will also address the various challenges that encompass the blend of Machine Learning with Agriculture, buckling down on concerns such as Algorithmic bias, proper protection and privacy of the data and the right access to the accepted technologies.