Smart Irrigation with the Use of Machine Learning

A comprehensive review of recent challenges faced by farmers and how Machine learning technology can be used to overcome these challenges in this paper. In this paper, we explore various machine-learning technologies and methodologies that contribute to the development of agriculture systems. When the appropriate amount of water is given to the crop it will give us the best results but the problem is we are not measuring how much amount of water we gave to the crop, and that’s why we could not get satisfactory results in our research paper we found a Support Vector Machine (SVM) algorithm that can be very useful in this case along with temperature and sensor soil moisture sensors. However, these technologies are still facing many challenges. To improve existing techniques further research is required.