[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 …

Targeted weed management of Palmer amaranth using robotics and deep learning (YOLOv7)

A Balabantaray, S Behera, CT Liew… - Frontiers in Robotics …, 2024 - frontiersin.org
Effective weed management is a significant challenge in agronomic crops which
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

Z Chang-Tao, W Rui-Feng, T Yu-Hao, P **ao-Xu… - …, 2024 - drive.google.com
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 …

Yolo11 and vision transformers based 3d pose estimation of immature green fruits in commercial apple orchards for robotic thinning

R Sapkota, M Karkee - arxiv preprint arxiv:2410.19846, 2024 - arxiv.org
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 …

[HTML][HTML] Optimal Sensor Placement and Multimodal Fusion for Human Activity Recognition in Agricultural Tasks

L Benos, D Tsaopoulos, AC Tagarakis, D Kateris… - Applied Sciences, 2024 - mdpi.com
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 …

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 …

[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 …

[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 …

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 …

[PDF][PDF] AI-Enabled Vision Transformer for Automated Weed Detection: Advancing Innovation in Agriculture.

S Ahmad, Z Chen, S Ikram, A Ikram - International Journal of …, 2024 - researchgate.net
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 …