CSE Students Develop AI-Based Solution for Smart Agriculture

A team from the Department of Computer Science and Engineering at Prakasam Engineering College has developed a prototype system that applies artificial intelligence to support smarter farming decisions. The project combines soil-moisture sensing, weather indicators, and crop-health cues into a single dashboard intended for use by small and medium farms.

Students worked under faculty guidance to train lightweight models on labelled datasets and to design a simple mobile-friendly interface so that recommendations can be understood without specialised technical knowledge. The emphasis was on affordability, low bandwidth use, and clear visual alerts when irrigation or nutrient action may be needed.

Early trials on the campus demonstration plot showed promising alignment between model suggestions and agronomy best practices. The group presented the work at an internal innovation showcase and received feedback from agriculture extension officers on how the tool could be adapted for regional crop varieties.

The initiative aligns with the department's focus on socially relevant computing and interdisciplinary collaboration. Students involved reported gains in full-stack development, data handling ethics, and field testing—skills that complement their core computer science curriculum.

Next steps include refining sensor integration, expanding language support for regional terms, and exploring partnerships with local farmer cooperatives for pilot deployments. The college encourages such projects that connect engineering education with real-world impact in Andhra Pradesh and beyond.