Drones for Vineyard Health: Detection and Targeted Pest Control

Authors: Tejashree Khadangale, Dhanashri Bhoyate, Vaishnavi Kotwal, Madhuri Chavan, Prof .P.B.Koli

Country: India

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Abstract: This project explores the potential of drone-based technology in revolutionizing pest and disease management practices within vineyards. Traditional methods, reliant on visual scouting, are time-consuming, subjective, and limited in scope. This project highlights the advantages of drones equipped with advanced cameras and sensors, enabling the capture of detailed vineyard imagery. By leveraging these images and machine learning algorithms, the project aims to achieve early detection of pests and diseases, even those invisible to the naked eye. This early detection allows for targeted interventions, such as precise application of chemicals or distribution of biocontrol agents, minimizing overall pesticide use and environmental impact. The project emphasizes the potential benefits of drone-based pest and disease detection, including improved vineyard health, increased crop yields, reduced reliance on manual labor, and cost-effectiveness in precision viticulture.

Keywords: Agriculture Grape Disease detection Convolutional Neural Networks (CNNs) Vineyard management Drones

Paper Id: 230667

Published On: 2024-05-28

Published In: Volume 12, Issue 3, May-June 2024

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