• Laxmi M C
• Amulya Y R
• Aishwarya
• M R Adhithi
• Jyothi JR Sahani

Agriculture is the most important sector of Indian Economy. Indian agriculture sector accounts for 18 percent of India's GDP and provides employment to 50% of the country’s workforce. Agricultural researchers insist on the need for an efficient mechanism to predict and improve the crop growth and Majority of research work in agriculture focus on biological mechanisms to identify crop growth and enhance in yield. The outcome of crop yield primarily depends on parameters such as variety of crop, seed type and environmental parameters such as sunlight (Temperature), soil (ph.), water (ph.), rainfall and humidity. By analyzing the soil and atmosphere at particular region best crop in order to have more crop yield and the net crop yield can be predicted. With the price in the market at periodic time of modal price of the crop in certain season and year based with the name of crop. This prediction will help the farmers. To choose appropriate crops for their farm according to the soil type, temperature, humidity, water level, spacing depth, soil PH, season, fertilizer and months. And based on their price prediction the farmers can change the crop based on profit or loss before cultivation to get more profits.

Arduino; Humidity sensor; N, P, K sensor; Moisture sensor

"FARMING FOR FUTURE: ENHANCED CROP YIELD PREDICTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.221-224, May-2024, Available :http://www.jetir.org/papers/JETIRGG06035.pdf

"FARMING FOR FUTURE: ENHANCED CROP YIELD PREDICTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. pp221-224, May-2024, Available at : http://www.jetir.org/papers/JETIRGG06035.pdf