Agronav: Autonomous navigation framework for agricultural robots and vehicles using semantic segmentation and semantic line detection
The successful implementation of vision-based navigation in agricultural fields hinges upon
two critical components: 1) the accurate identification of key components within the scene …
two critical components: 1) the accurate identification of key components within the scene …
Robust joint stem detection and crop‐weed classification using image sequences for plant‐specific treatment in precision farming
Conventional farming still relies on large quantities of agrochemicals for weed management
which have several negative side‐effects on the environment. Autonomous robots offer the …
which have several negative side‐effects on the environment. Autonomous robots offer the …
Weed growth stage estimator using deep convolutional neural networks
This study outlines a new method of automatically estimating weed species and growth
stages (from cotyledon until eight leaves are visible) of in situ images covering 18 weed …
stages (from cotyledon until eight leaves are visible) of in situ images covering 18 weed …
Visual servoing-based navigation for monitoring row-crop fields
Autonomous navigation is a pre-requisite for field robots to carry out precision agriculture
tasks. Typically, a robot has to navigate along a crop field multiple times during a season for …
tasks. Typically, a robot has to navigate along a crop field multiple times during a season for …
Joint stem detection and crop-weed classification for plant-specific treatment in precision farming
Applying agrochemicals is the default procedure for conventional weed control in crop
production, but has negative impacts on the environment. Robots have the potential to treat …
production, but has negative impacts on the environment. Robots have the potential to treat …
Crop detection technologies, mechanical weeding executive parts and working performance of intelligent mechanical weeding: a review
M **ang, M Qu, G Wang, Z Ma, X Chen… - Frontiers in Plant …, 2024 - frontiersin.org
Weeding is a key link in agricultural production. Intelligent mechanical weeding is
recognized as environmentally friendly, and it profoundly alleviates labor intensity compared …
recognized as environmentally friendly, and it profoundly alleviates labor intensity compared …
In different weed distributions, the dynamic coverage algorithm for mechanical selective weeding robot
Y Wang, Y Ye, H Wu, K Tao, M Qian - Computers and Electronics in …, 2024 - Elsevier
A weeding robot's working range and accuracy are vital indicators of the robot. Selective
weeding robots can accurately weed and have higher control requirements. We designed …
weeding robots can accurately weed and have higher control requirements. We designed …
An effective multi-cue positioning system for agricultural robotics
The self-localization capability is a crucial component for Unmanned Ground Vehicles in
farming applications. Approaches based solely on visual cues or on a low-cost Global …
farming applications. Approaches based solely on visual cues or on a low-cost Global …
Towards autonomous visual navigation in arable fields
Autonomous navigation of a robot in agricultural fields is essential for every task from crop
monitoring to weed management and fertilizer application. Many current approaches rely on …
monitoring to weed management and fertilizer application. Many current approaches rely on …
RTD-SEPs: Real-time detection of stem emerging points and classification of crop-weed for robotic weed control in producing tomato
Highlights•Proposed a real-time in-row crop detection and classification algorithm.•Novel
crop signalling technique to help in distinguishing crops from in-row weeds.•Computer …
crop signalling technique to help in distinguishing crops from in-row weeds.•Computer …