AI-Powered Weed Control: Image Processing and Robotics in Agriculture

This paper reviews the recent advancements in AI-driven weed management, focusing on image processing techniques and robotic approaches. With the integration of artificial intelligence, the agricultural sector can achieve precise weed detection and control, leading to improved crop yields and sustainable farming practices. This review explores various methodologies, challenges, and future directions in this field.

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Publication Details

Published
2024-11-20
DOI
https://doi.org/10.1109/icei64305.2024.10912294
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.20
Controls
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article

AI-Powered Weed Control: Image Processing and Robotics in Agriculture

Karthik Shetty, Rahul Rao, G. Revathi, Spoorti S Morabad et al.
2 citations
Smart Agriculture and AI
1.20
article

AI-Powered Weed Control: Image Processing and Robotics in Agriculture

Karthik Shetty, Rahul Rao, G. Revathi, Spoorti S Morabad, Sriganesh
article en
2 citations

Abstract

This paper reviews the recent advancements in AI-driven weed management, focusing on image processing techniques and robotic approaches. With the integration of artificial intelligence, the agricultural sector can achieve precise weed detection and control, leading to improved crop yields and sustainable farming practices. This review explores various methodologies, challenges, and future directions in this field.

PES University (IN)
Zero hunger
Openalex Percentile: Top 15%
Smart Agriculture and AI
1.20
DOISourceOpenAlex
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AI-Powered Weed Control: Image Processing and Robotics in Agriculture — Karthik Shetty, Rahul Rao, et al. · (2024) | TGRS Research Map | TGRS