Machine Learning Based Cloud Integrated Farming

With the increasing population, the demand for more agricultural production is only surged. This increasing demand can only be attained with progressing technology. Internet of Things (IoT) is dramatically advancing the way we live our life by full-scale control over data with minimal human involvement. Using IoT to meet this high demand for production is achieved. In this paper we propose a bot that can be used for small scale farming in areas like gardens or backyard. A simple web application is provided for the user to decide the plants to be farmed and the bot does rest of the work. This bot can plant the seeds, water each plant at required intervals and even plot the weed to bury it. A database is provided with the information about several parameters to be taken care of for each kind of plant. Different sensors are used to sense the properties of soil and environment which can be used to anticipate the near changes and take necessary steps. Image processing is being used for detection and prevention of weed growth. We adopted Bayesian methods of machine learning to efficiently estimate the performance parameters by probability distribution.