An IOT Based Crop Selection And Productivity Enhancement System For Indian Farmers

Abstract

A very large section of the Indian population depends on farming to meet their ends. But due to several reasons - natural or man-made, not limited to weather, proper irrigation mechanisms and finance, many a section of this society are often unable to reach their expected sustenance. A proper guidance mechanism that helps the farmers or aspirants select the suitable choice of crop to be cultivated in an area based on the climatic and soil conditions will increase the agricultural productivity per unit of land. In this paper, we propose a predictive system that aids the farmers in crop selection based on different climatic and soil parameters available from a dataset pertaining to Indian subcontinent. An IOT system will determine the climatic (temperature, humidity etc) and soil (pH, moisture, etc) conditions in the area of choice. This is input to the predictive system which predicts the choice of crop. The developed system can be adopted to achieve a healthy crop growth that can be adapted by agricultural practices.

A critical analysis of crop management using Machine Learning towards smart and precise farming

“…Viswanath et al 7 proposed a prediction method that uses a range of soil and climate characteristics from a dataset specific to the Indian subcontinent to help farmers choose crops. This information is made available to the researchers via the internet.…”

“…In precision agriculture systems, the application of inputs like fertilisers and pesticides should be minimised or sitespecific in order to reduce leaching problems and emissions of greenhouse gases. [5][6][7][8][9][10] With today's information and communications technology, it is possible to build a sensor network that will enable practically constant monitoring of the farm. The potential of smart farming technology and precision agriculture to satisfy such an ever-growing demand and meet the demands placed on the global food supply are attracting an increasing amount of interest.…”

“…There are several application cases of smart farming currently present all over the world, each of which demonstrates the influence that this new paradigm of agricultural practice is having. 6,7 However, smart farming encompasses more than just primary crop production. In point of fact, it has had an effect on the entire food supply chain because it uses big data analytics to provide helpful insights about the entire farming process, 10 because it facilitates real-time operational decision-making, and it revolutionizes the business models that are currently used in agriculture.…”