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Precision agriculture is a cutting-edge agricultural method that maximizes crop productivity, reduces environmental effect, and makes use of data science approaches.This study offers a thorough summary of the major contributions and developments in precision agriculture made possible by data science techniques.The research investigates the amalgamation of many data sources, such as satellite imaging, Internet of Things devices, and sensors, to procure up-to-date data on crop health, weather patterns, and soil conditions.In order to provide farmers with practical insights, the study emphasizes the use of machine learning techniques in the analysis of large datasets.Making decisions about when and how to apply fertilizer, schedule irrigation, and manage pests is made easier with the help of these insights.Farmers can take a proactive and focused strategy, saving input costs and increasing output, by utilizing predictive modeling and data-driven advice.
A Thu, study studied this question.