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Soil Nutrient Analysis in Agricultural Crops

Aditya Pai H,Mahesh TR, Saravana Kumar R, Chandramma R, Bhagavant K. Deshpande, Omswaroop T M

2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT)(2023)

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Abstract
Agriculture is an important area of research and is also considered to be a very critical area. As per the data collected from the farmer and citizens, it is found that nowadays the citizens are playing an important role in assisting farmers to provide solutions to the current system by doing research and innovation in the farming sector. The government too is providing benefits by funding the agricultural research projects which the citizens are working on. This has directly created an advantage for the farmers. Now in this research area, a lot of work has been carried out using the new hardware and software technology. This has made the farmers very easy to yield better crops. Adding to this there are other research that are being carried out on finding the quality of the soil and predicting the disease of the plant. The majority of the work carried out in the agricultural industry is by the IT industry. In the review paper, various soil nutrients are taken into account such as pH value, nitrogen content, phosphorous content, organic carbon, potassium content, and electric conductivity (salinity in the soil). The paper also focuses more on the different ML algorithms that is discussed in the last decade. On the technological front, we study more on how the farmers can be assisted in improving the crop by doing predictions using the ML technique. A novel approach has been found for performing farming in a smarter way. Also, the government provides grants to researchers to carry out innovative projects in the area of agriculture.
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Key words
Regression,Classification,Soil Testing,Soil Properties
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