Abstract
Agriculture is the main occupation of India and more than 50% of people are dependent on agriculture. Research on agriculture will strengthen the economic growth of the country. Technologies play a vital role to bolster the agriculture. Since soil is the main fount of agriculture , there is a need for significant approach to help the farmer to test and monitor the soil and its properties ,which will boost the fertility of the soil thereby intensifying the crop growth, also if crop recommendations are imparted to farmers in a proper way, crop yield can be enhanced to meet the growing demand for the food. Proper awareness on soil will benefit the farmers to grow the right and healthy crop. To overcome the disadvantages of traditional soil testing practices we are proposing an approach which has Deep learning, an artificial intelligence(AI) technique and IOT features . This helps in getting fast and accurate result. Soil fertility can be calculated by parameters like pH level, temperature, Moisture content of the soil,temperature, humidity and NPK(nitrogen, phosphorus, and potassium) ,organic matter, carbon level. Weather and Climatic conditions along with the soil parameters will help to evaluate the soil fertility. The lacking nutrients in the soil and needed nutrients/fertilizers to boost the soil fertility can be suggested to the farmers and also the crops which can be suitably grown from the given soil sample and nutrients required for all the recommended crops to enhance the yield can be suggested to the farmers.
Highlights
The innovations using technologies are reaching the farmers to serve them in monitoring the crop growth, increase their yield & productivity, precision agriculture is the trending field to work for the researchers in India
The work which we have proposed here, is to help the farmers to test the soil sample and let them know what is lacking in it by analyzing soil fertility and what has to be added to increase soil fertility, this work aims to recommend the crops which can be suitably grown from given soil sample
Deep learning,a kind of Artificial neural network(ANN) is an Artificial Intelligence technique and this is the key area selected for the proposed work, Deep learning, An ANN has collection of connected units called as artificial neurons which works like neurons of human brain
Summary
The work which we have proposed here, is to help the farmers to test the soil sample and let them know what is lacking in it by analyzing soil fertility and what has to be added to increase soil fertility , this work aims to recommend the crops which can be suitably grown from given soil sample. This is going to help our Indian farmers to understand about the soil in an easier and better way and take further steps to grow crops in an efficient way. Using Deep learning ,a technique of artificial intelligence , the system will be trained in such a way that the soil fertility and its crop friendliness is detected .IOT features along with AI technique will increase the soil testing and monitoring efficiency
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