International Journal of Scientific Research and Engineering Development

This paper proposes the design of an edge AIbased intelligent agricultural system that can help increase crop productivity through efficient pest control and monitoring of the condition of the soil. In the proposed system, there is a pest detection module based on deep learning that can detect pests from the image obtained from the leaves of the crops or the image obtained from the crops themselves. In addition, the system can monitor the condition of the soil through the measurement of the moisture level, pH value, and temperature of the soil using IoT sensors. An autonomous rover is used to move around the crops and take images from different points of the crops as well as measure the environmental conditions. This data is then used to provide efficient recommendations through the usage of a large language model. Additionally, it provides forecasts for the potential yield of crops depending on the soil or environmental factors. The proposed method has the potential to reduce manual labor and promote efficient farming practices by incorporating edge AI, mobile sensing, and data-driven decision support.

Mrs.B.Suganthi, Mrs.R. Deva Dharshini, Mohamed Khaleefa P, Azhagesan E, Akash R, Sridharan V,"Development of An Edge AI Powered Precision Pest Control Robot for Smart Agriculture Using Raspberry PI" International Journal of Scientific Research and Engineering Development, V9(3): Page(218-226) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.