• S.Janakiraman
• Dr.K.Rajeswari

Agriculture plays a major role in wealth formation, addressing food security needs and generating employment, thereby contributing significantly to a country's growth. The integration of IoT in the agriculture domain is utilized for smart farming, enabling the automatic monitoring of farmlands and enhancing overall operational efficiency. Soil fertility is a crucial aspect of agriculture, influencing the growth and health of crop production. It refers to the soil's ability to provide essential nutrients to plants. Therefore, maintaining proper soil fertility is essential for sustainable and precision agriculture. Machine learning techniques are used for addressing challenges in soil fertility prediction problems in agriculture. The challenges include achieving accurate and timely predictions

"Predictive persistence learning on Soil Fertility Slant using IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 1, page no.e288-e296, January-2024, Available :http://www.jetir.org/papers/JETIR2401435.pdf

"Predictive persistence learning on Soil Fertility Slant using IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 1, page no. ppe288-e296, January-2024, Available at : http://www.jetir.org/papers/JETIR2401435.pdf