Eco Vision: Intelligent Quadruped Agricultural Robot for Plant Monitoring and Automated Irrigation

Author

Harshavardhan C J , Ashwini R, Mrs. Suman H M

Abstract

 Agriculture plays an important role in food production and economic development, but traditional plant monitoring, irrigation, and disease identification require continuous human effort. This paper presents Eco Vision, an intelligent quadruped agricultural robot developed using Raspberry Pi 3B+. The system combines a camera for plant detection, servo-driven legs for movement, and a servo-operated arm carrying a soil-moisture sensor. The moisture reading is processed by the Raspberry Pi and compared with a predefined threshold. When the soil is dry, a water pump is activated to supply water to the plant; watering is skipped when sufficient moisture is present. The camera can also be used for image-based observation of visible plant conditions, while plant and moisture information can be communicated to a mobile application. By integrating mobility, sensing, computer vision, and controlled irrigation, Eco Vision aims to reduce manual effort and unnecessary water use and support smart and sustainable agriculture.

Keywords

Eco Vision, Quadruped Agricultural Robot, Raspberry Pi 3B+, Plant Detection, Soil Moisture Monitoring, Automatic Irrigation, Computer Vision, Smart Agriculture

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References

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