Implications of Technology in Agriculture – Review on Smart Agriculture.

Abstract

Smart farming is an epicentre of the new upcoming agricultural methodologies. It is the amalgamation of new technology-oriented procedures wrapped with sustainable practices that enhances productivity by not harming mother earth through overuse of pesticides, fertilizers, and other natural resources. Technologies such as Machine learning, IoT, Sensor-based agriculture, etc. are gearing up the pace in making their presence in modern-day farming practice. Our farmers can improve the production capabilities, reduce the wastage of yield, and maximize their productivity by adapting to the technology-oriented farming. The usage of these technologies will have a positive edge. Agriculture combined with the advantages of sensor based data collections can be used to monitor soil health, water level of soil, crop quality, weed detection, disease detection, etc. This review paper indicates the usage of the machine learning techniques in the field of agriculture in order to optimize the yield.