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[HTML][HTML] Unmanned Ground Vehicles for Continuous Crop Monitoring in Agriculture: Assessing the Readiness of Current ICT Technology
M Agelli, N Corona, F Maggio, PV Moi - Machines, 2024 - mdpi.com
Continuous crop monitoring enables the early detection of field emergencies such as pests,
diseases, and nutritional deficits, allowing for less invasive interventions and yielding …
diseases, and nutritional deficits, allowing for less invasive interventions and yielding …
Targeted weed management of Palmer amaranth using robotics and deep learning (YOLOv7)
Effective weed management is a significant challenge in agronomic crops which
necessitates innovative solutions to reduce negative environmental impacts and minimize …
necessitates innovative solutions to reduce negative environmental impacts and minimize …
[PDF][PDF] Automatic Lettuce Weed Detection and Classification Based on Optimized Convolutional Neural Networks for Robotic Weed Control
Weed management plays a crucial role in the growth and yield of lettuce, with timely and
effective weed control significantly enhancing production. However, the increasing labor …
effective weed control significantly enhancing production. However, the increasing labor …
Yolo11 and vision transformers based 3d pose estimation of immature green fruits in commercial apple orchards for robotic thinning
In this study, a robust method for 3D pose estimation of immature green apples (fruitlets) in
commercial orchards was developed, utilizing the YOLO11 object detection and pose …
commercial orchards was developed, utilizing the YOLO11 object detection and pose …
[HTML][HTML] Optimal Sensor Placement and Multimodal Fusion for Human Activity Recognition in Agricultural Tasks
This study examines the impact of sensor placement and multimodal sensor fusion on the
performance of a Long Short-Term Memory (LSTM)-based model for human activity …
performance of a Long Short-Term Memory (LSTM)-based model for human activity …
Knowledge distillation and student–teacher learning for weed detection in turf
D Zhai, T Liu, F He, J Wang, X **, J Yu - Weed Science, 2024 - cambridge.org
Machine vision–based herbicide applications relying on object detection or image
classification deep convolutional neural networks (DCNNs) demand high memory and …
classification deep convolutional neural networks (DCNNs) demand high memory and …
[HTML][HTML] Design and experiment of active obstacle avoidance control system for grapevine interplant weeding based on GNSS
H Zhang, Z Meng, S Wen, G Liu, G Hu, J Chen… - Smart Agricultural …, 2025 - Elsevier
Traditional passive obstacle avoidance mechanical weeding strategies heavily relied on
touch rods, which led to a high crop damage rate and low weeding efficiency during …
touch rods, which led to a high crop damage rate and low weeding efficiency during …
[HTML][HTML] Real-Time Detection and Localization of Weeds in Dictamnus dasycarpus Fields for Laser-Based Weeding Control
Y Xu, Z Liu, J Li, D Huang, Y Chen, Y Zhou - Agronomy, 2024 - mdpi.com
Traditional Chinese medicinal herbs have strict environmental requirements and are highly
susceptible to weed damage, while conventional herbicides can adversely affect their …
susceptible to weed damage, while conventional herbicides can adversely affect their …
Agricultural Robotics: A Technical Review Addressing Challenges in Sustainable Crop Production
M Spagnuolo, G Todde, M Caria, N Furnitto, G Schillaci… - Robotics, 2025 - mdpi.com
The adoption of agricultural robots is revolutionizing the agricultural sector, offering
innovative solutions to optimize production and reduce environmental impact. This review …
innovative solutions to optimize production and reduce environmental impact. This review …
[PDF][PDF] AI-Enabled Vision Transformer for Automated Weed Detection: Advancing Innovation in Agriculture.
Precision agriculture is focusing on automated weed detection in order to improve the use of
inputs and minimize the application of herbicides. The presented paper outlines a Vision …
inputs and minimize the application of herbicides. The presented paper outlines a Vision …