• Arpita Balnath Mane
• Dr.Sushopti Gawade

Farming and agriculture contribute significantly to the country’s economic growth. Farming is regarded as the best financial support area in the country, and it is among the most important factors in increasing GDP In farming, the farmer's primary goal is to test the soil in order to increase crop output while avoiding negative consequences. In the traditional technique of agriculture, physical exertion is necessary to travel the location and acquire soil samples from the field, which are then sent to a facility for assessment of all micronutrients. This procedure is time demanding and requires a significant amount of time to complete. The information recorded by using the IoT framework and monitoring devices may be used to monitor the soil. For this purpose a number of approaches on the topic of soil nutrient analysis have been analyzed effectively and elaborated in this paper with utmost detail. These approaches have served as building blocks for understanding the current and the preexisting methodologies which have laid the foundation for an effective framework for soil nutrition analysis. This is done by using the Deep belief neural network and Knearest neighbor classification algorithms on the collected data through the NPK sensor

: Soil Nutrition, Internet of Things, Deep Belief Networks, K Nearest Neighbor, Fuzzy Classification.

"Development of a simplified, sensor based quick soil testing method to test nutrients in soil", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 1, page no.c469-c473, January-2023, Available :http://www.jetir.org/papers/JETIR2301259.pdf

"Development of a simplified, sensor based quick soil testing method to test nutrients in soil", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 1, page no. ppc469-c473, January-2023, Available at : http://www.jetir.org/papers/JETIR2301259.pdf