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A Review on Smart and Sustainable Agriculture

Sunil Kulkarni


Increasing the crop yield, reducing cost and space, rendering environmental friendliness to the application method and synthesis of fertilizers and pesticides are objectives of research and studies on agriculture. For getting optimum results, acute control over the use of resources is very important aspect. Many of these advanced technologies are being explored for various applications. This review aims at providing insight on the research and studies on application of internet of things (IoT), CFD and other tools for smart agriculture. Big data can be used effectively for predicting insights in farming operations, driving real-time operational decisions, and redesigning business processes. Issues such as food safety and security, sustainable practices and efficiency or yield enhancement can be tackled by using big data applications.


Yield, data, technology, computational fluid dynamics, analysis, prediction

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