A review of deep learning applications in weed detection: UAV and ...
Jul 1, 2025 · Explores CNNs, transfer learning, and multimodal DL models for precision weed management. Analyzes challenges like generalization, data scarcity, and scalability. Suggests future …
Automated weed and crop recognition and classification model using …
Aug 10, 2025 · This method develops an Automated Weed Recognition and Classification using a Deep Learning Model with Lemrus Optimization (AWRC-DLMLO).
Deep Neural Networks to Detect Weeds from Crops in Agricultural ...
Nov 8, 2021 · We present a systematic review of AI-based systems to detect weeds, emphasizing recent trends in DL. Various DL methods are discussed to clarify their overall potential, usefulness, and …
(PDF) Weed Detection Using Deep Learning: A Systematic
Mar 31, 2023 · In this paper, we present a systematic literature review (SLR) on current state-of-the-art DL techniques for weed detection. Our SLR identified a rapid growth in research related to weed...
Applications of deep learning in precision weed management: A review
Mar 1, 2023 · However, based on the technical publications, no one specific DL model cannot be used to identify weeds in multiple environments or a completely unseen location.
Deep Learning Techniques for Weed Detection in Agricultural ...
This literature review demonstrates the potential of various DL methods for crop weed identification, localization, and classification. This research work investigates the present status of Deep Learning …
Advancements in deep learning methods for precise weed and rice ...
Jan 12, 2026 · Weed invasion poses a significant threat to global rice production, causing substantial yield losses and environmental degradation from excessive herbicide use. Unmanned Aerial …