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EAGLE-YOLO: An edge-aware lightweight detector for real-time maize seedling detection in robotic intra-row weeding
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/ps.3677openalex-snapshot
Potential use of ground‐based sensor technologies for weed detection
inferredcites →https://doi.org/10.1007/s11263-021-01515-2openalex-snapshot
BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation
inferredcites →https://doi.org/10.1016/j.agee.2023.108786openalex-snapshot
Ecological and economic evaluation of conventional and new weed control techniques in row crops
inferredcites →https://doi.org/10.1016/j.aiia.2023.09.002openalex-snapshot
Machine learning for weed–plant discrimination in agriculture 5.0: An in-depth review
inferredcites →https://doi.org/10.1016/j.aiia.2024.02.001openalex-snapshot
Using an improved lightweight YOLOv8 model for real-time detection of multi-stage apple fruit in complex orchard environments
inferredcites →https://doi.org/10.1016/j.aiia.2025.02.007openalex-snapshot
Using UAV-based multispectral images and CGS-YOLO algorithm to distinguish maize seeding from weed
inferredcites →https://doi.org/10.1016/j.aiia.2025.05.001openalex-snapshot
Accurate Orah fruit detection method using lightweight improved YOLOv8n model verified by optimized deployment on edge device
inferredcites →https://doi.org/10.1016/j.aiia.2025.05.003openalex-snapshot
Technical study on the efficiency and models of weed control methods using unmanned ground vehicles: A review
inferredcites →https://doi.org/10.1016/j.biosystemseng.2011.07.007openalex-snapshot
Design and testing of an intra-row mechanical weeding machine for corn
inferredcites →https://doi.org/10.1016/j.biosystemseng.2019.05.002openalex-snapshot
Maize seedling detection under different growth stages and complex field environments based on an improved Faster R–CNN
inferredcites →https://doi.org/10.1016/j.compag.2022.107091openalex-snapshot
Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems
inferredcites →https://doi.org/10.1016/j.inpa.2018.08.002openalex-snapshot
Effective plant discrimination based on the combination of local binary pattern operators and multiclass support vector machine methods
inferredcites →https://doi.org/10.1016/j.still.2023.105837openalex-snapshot
A conceptual evaluation of a weed control method with post-damage application of herbicides: A composite intelligent intra-row weeding robot
inferredcites →https://doi.org/10.1016/s0168-1699(03)00020-6openalex-snapshot
Classification of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn
inferredcites →https://doi.org/10.1017/wet.2017.70openalex-snapshot
Beyond Precision Weed Control: A Model for True Integration
inferredcites →https://doi.org/10.1017/wsc.2017.78openalex-snapshot
Weed Management in 2050: Perspectives on the Future of Weed Science
inferredcites →https://doi.org/10.1038/ncomms14865openalex-snapshot
Long-term trends in the intensity and relative toxicity of herbicide use
inferredcites →https://doi.org/10.13031/2013.39559openalex-snapshot
X-Ray Based Stem Detection in an Automatic Tomato Weeding System
inferredcites →https://doi.org/10.13031/2013.42321openalex-snapshot
Development of Color Co-occurrence Matrix Based Machine Vision Algorithms for Wild Blueberry Fields
inferredcites →https://doi.org/10.17221/29/2019-hortsciopenalex-snapshot
Sustainable alternatives to chemicals for weed control in the orchard - a Review
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