Sensing and Artificial Perception for Robots in Precision Forestry: A Survey
Artificial perception for robots operating in outdoor natural environments, including forest
scenarios, has been the object of a substantial amount of research for decades. Regardless …
scenarios, has been the object of a substantial amount of research for decades. Regardless …
Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review
Weeds are a significant threat to agricultural productivity and the environment. The
increasing demand for sustainable weed control practices has driven innovative …
increasing demand for sustainable weed control practices has driven innovative …
Data augmentation for deep learning based semantic segmentation and crop-weed classification in agricultural robotics
Deep learning methods such as convolutional neural networks (CNN) have become popular
for addressing crops and weeds classification problems in agricultural robotics. However, to …
for addressing crops and weeds classification problems in agricultural robotics. However, to …
Weed detection in perennial ryegrass with deep learning convolutional neural network
Precision herbicide application can substantially reduce herbicide input and weed control
cost in turfgrass management systems. Intelligent spot-spraying system predominantly relies …
cost in turfgrass management systems. Intelligent spot-spraying system predominantly relies …
Temporal consistent 3D lidar representation learning for semantic perception in autonomous driving
Semantic perception is a core building block in autonomous driving, since it provides
information about the drivable space and location of other traffic participants. For learning …
information about the drivable space and location of other traffic participants. For learning …
Crop and weeds classification for precision agriculture using context-independent pixel-wise segmentation
Precision agriculture is gaining increasing attention because of the possible reduction of
agricultural inputs (eg, fertilizers and pesticides) that can be obtained by using hightech …
agricultural inputs (eg, fertilizers and pesticides) that can be obtained by using hightech …
Counting of grapevine berries in images via semantic segmentation using convolutional neural networks
The extraction of phenotypic traits is often very time and labour intensive. Especially the
investigation in viticulture is restricted to an on-site analysis due to the perennial nature of …
investigation in viticulture is restricted to an on-site analysis due to the perennial nature of …