Advanced Intelligent Systems for Quantitative Analysis of Crop Production and Efficiency in Maharashtra

Agriculture plays a pivotal role in the economic growth of any country, and India is no exception. Approximately 70% of India’s population depends on agriculture, either directly or indirectly. According to the Ministry of Agriculture and Farmers Welfare, the agricultural and allied sectors contribute 20.2% to the total economy’s Gross Added Value (GAV), per the Provisional Estimates of Annual National Income. Given India’s dense population, ensuring optimal crop production is essential to meet the nation’s food demand. This study focuses on the correlation between crop production and temperature in Maharashtra, a key agricultural state. Maharashtra produces a variety of crops, including staple cereals like jowar, rice, and wheat, as well as pulses such as gram, tur, and urad. It is also a significant producer of oilseeds, including groundnut, sunflower, and soybean. Additionally, important cash crops like sugarcane, cotton, and turmeric contribute to the state’s agricultural economy. As climate factors like temperature play a critical role in crop growth, this study aims to analyze how temperature fluctuations affect the yield and efficiency of various crops in Maharashtra to optimize agricultural productivity to support economic growth and food security.