Smart Farming and Surveillance using a Multipurpose Robot and Machine Learning

Abstract

Agriculture is the procedure of producing food, feed, fiber, and many other favored merchandise by cultivating favorable vegetation and raising farm animals. The exercise of agriculture is also referred to as farming. However, there are a few challenges in raising agricultural productiveness in line with the unit of land, reducing rural poverty through a socially inclusive strategy that contains each agriculture in addition to non-farm employment, ensuring that agricultural boom responds to food security wishes. Nowadays, the advancement in ingenious farming techniques is progressively enhancing the crop yield making it greater worthwhile and reduce irrigation wastages. The proposed system is to layout and increases an autonomous vehicle that can carry out various agricultural activities inclusive of digging, sowing seeds, pumping insecticides, cutting undesirable grass within the discipline, etc. The farming land is autonomously irrigated with sufficient water with the help of moisture sensors within the land. The autonomous robot's general operation and the irrigation gadget are monitored and maintained using Machine Learning (ML) algorithms. The overall operation and records are measured via the sensors are stored in the cloud for device gaining knowledge of (ML) algorithm and future references. Thereby, it increases the machine's overall performance accuracy and reduces the human power and saves the time required to cultivate the farmland