Vision-Based Smart Sprayer for Precision Farming

• Type: Article in International Conference Proceedings Book
• Date: 2024

Authors

Deguchi, T (Author) Other; Baltazar, AR (Author) Other; Filipe Neves Santos (Author) FEUP; Helio Mendonca (Author) FEUP

Conference proceedings International

Title: ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE, VOL 2

Pages: 324-335

6th Iberian Robotics Conference (Robot)

Coimbra, PORTUGAL, NOV 22-24, 2023

Indexing

ISI Web of Knowledge - 0 Citations

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Other information

Authenticus ID: P-010-F1N

DOI: 10.1007/978-3-031-59167-9_27

Abstract (EN): Since the advent of agriculture, humans have considered phytopharmaceutical products to control pests and reduce losses in farming. Sometimes some of these products, such pesticides, can potentially harm the soil life. In the literature there is evidence that AI and image processing can have a positive contribution to reduce phytopharmaceutical losses, when used in variable rate sprayers. However, it is possible to improve the existing sprayer system's precision, accuracy, and mechanical aspects. This work proposes spraying solution called GraDeS solution (Grape Detection Sprayer). GraDeS solution is a sprayer with two degrees of freedom, controlled by a AI-based algorithm to precisely treat grape bunches diseases. The experiments with the designed sprayer showed two key points. First, the deep learning algorithm recognized and tracked grape bunches. Even with structure movement and bunch covering, the algorithm employs several strategies to keep track of the discovered objects. Second, the robotic sprayer can improve precision in specified areas, such as exclusively spraying grape bunches. Because of the structure's reduced size, the system can be used in medium and small robots.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12