Abstract
The study attempts to assess the determinants of adoption of precision farming and its profitability, based on primary data from Kerala. Logit regression, farm business analysis, data envelopment analysis and Garret's Ranking were employed to analyze the data. Farm size, level of education and attitude of farmers towards risk orientation were the factors which positively and significantly influenced the adoption of precision farm technologies. Precision farming was found to be generating impressively higher returns in comparison to traditional farms and were technically and allocative efficient. Constraints to its adoption identified include rainfall, lack of expertise and credit facilities, etc.
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