Agri-Sense Combines Agriculture and Intelligence

Main Article Content

Kalpana Malpe
Shantanu Kholkute
Vaibhav Gaidhane
Udyan Deshmukh
Ayush khadgi

Abstract

This web-based platform is an innovative solution aimed at helping farmers optimize agricultural practices through data-driven insights. It offers multiple features, including crop analysis by evaluating soil and pH levels, soil chemical composition analysis for fertilizer recommendations, plant disease detection through image-based diagnostics, and weather forecasting for better planning. By leveraging artificial intelligence and data analytics, the platform ensures that farmers receive accurate recommendations on suitable crops, necessary soil treatments, and preventive disease measures. Additionally, real-time weather updates assist in planning irrigation and harvesting strategies. With its user-friendly interface and scientific approach, this platform aims to enhance productivity, reduce losses, and promote sustainable farming. Furthermore, soil recommendations are generated through an in-depth evaluation of soil composition, moisture content, and nutrient levels, offering tailored fertilization and irrigation strategies for sustainable farming. The system also incorporates AI-powered disease detection, utilizing image processing and predictive analytics to diagnose crop infections early, enabling swift intervention to prevent large-scale damage.

Article Details

How to Cite
Malpe, K., Kholkute, S., Gaidhane, V., Deshmukh, U., & khadgi, A. (2025). Agri-Sense Combines Agriculture and Intelligence. International Journal of Electrical, Electronics and Computer Systems, 14(1), 152–155. Retrieved from https://journals.mriindia.com/index.php/ijeecs/article/view/421
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Articles

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