AI-driven autonomous spraying for precision weed management in specialty crop production

V. Vijayakumar; A. Neto; Y. Ampatzidis

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AI-driven autonomous spraying for precision weed management in specialty crop production

In: Precision agriculture '25

Authors:

V. Vijayakumar

V. Vijayakumar
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A. Neto

A. Neto
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Y. Ampatzidis

Y. Ampatzidis i.ampatzidis@ufl.edu

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Type:: Chapter

Pages:: 1014–1021

DOI:: https://doi.org/10.1163/9789004725232_133

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Dar Hadith al Hassania

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Effective weed control in vegetable crops is crucial for optimizing yield and reducing herbicide use. This study developed a low-cost AI-driven robotic smart sprayer for targeting weeds in pepper and tomato crops on raised beds. Field tests evaluated its performance, with Tests 1 and 2 conducted on pepper and tomato beds, respectively. The sprayer achieved 89% and 88% precision, with missed targets below 5%. Recall was 86% and 84%, demonstrating effective real-time weed targeting while avoiding crops. Results highlight the sprayer’s potential for precise, efficient weed control in vegetable fields.

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Precision agriculture '25

E-Book ISBN:: 9789004725232

Publisher:: Wageningen Academic

Print Publication Date:: 18 Jun 2025

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

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AI-driven autonomous spraying for precision weed management in specialty crop production

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Precision agriculture '25

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