AI meets UAVs: A survey on AI empowered UAV perception systems for precision agriculture

J Su, X Zhu, S Li, WH Chen - Neurocomputing, 2023 - Elsevier
Precision Agriculture (PA) promises to boost crop productivity while reducing agricultural
costs and environmental footprints, and therefore is attracting ever-increasing interests in …

YOLOWeeds: A novel benchmark of YOLO object detectors for multi-class weed detection in cotton production systems

F Dang, D Chen, Y Lu, Z Li - Computers and Electronics in Agriculture, 2023 - Elsevier
Weeds are among the major threats to cotton production. Overreliance on herbicides for
weed control has accelerated the evolution of herbicide-resistance in weeds and caused …

Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems

GRY Coleman, A Bender, K Hu, SM Sharpe… - Weed …, 2022 - cambridge.org
The past 50 yr of advances in weed recognition technologies have poised site-specific weed
control (SSWC) on the cusp of requisite performance for large-scale production systems …

[HTML][HTML] Deep object detection of crop weeds: Performance of YOLOv7 on a real case dataset from UAV images

I Gallo, AU Rehman, RH Dehkordi, N Landro… - Remote Sensing, 2023 - mdpi.com
Weeds are a crucial threat to agriculture, and in order to preserve crop productivity,
spreading agrochemicals is a common practice with a potential negative impact on the …

Performance evaluation of deep transfer learning on multi-class identification of common weed species in cotton production systems

D Chen, Y Lu, Z Li, S Young - Computers and Electronics in Agriculture, 2022 - Elsevier
Precision weed management offers a promising solution for sustainable cropping systems
through the use of chemical-reduced/non-chemical robotic weeding techniques, which apply …

The structural basis of hyperpromiscuity in a core combinatorial network of type II toxin–antitoxin and related phage defense systems

K Ernits, CK Saha, T Brodiazhenko… - Proceedings of the …, 2023 - National Acad Sciences
Toxin-antitoxin (TA) systems are a large group of small genetic modules found in
prokaryotes and their mobile genetic elements. Type II TAs are encoded as bicistronic (two …

[HTML][HTML] RGB-D datasets for robotic perception in site-specific agricultural operations—A survey

P Kurtser, S Lowry - Computers and Electronics in Agriculture, 2023 - Elsevier
Fusing color (RGB) images and range or depth (D) data in the form of RGB-D or multi-
sensory setups is a relatively new but rapidly growing modality for many agricultural tasks …

Weedgan: a novel generative adversarial network for cotton weed identification

V Sharma, AK Tripathi, H Mittal, A Parmar, A Soni… - The Visual …, 2023 - Springer
Recently, precision weed management has emerged as a promising solution for reducing
the use of herbicides which is hazardous to crops and human health. Thus, accurate …

DeepCottonWeeds (DCW): a novel benchmark of YOLO object detectors for weed detection in cotton production systems

F Dang, D Chen, Y Lu, Z Li… - 2022 ASABE Annual …, 2022 - elibrary.asabe.org
Weeds are among the major threats to cotton production. Overreliance on herbicides for
weed control has accelerated the evolution of herbicide-resistance in weeds and brought …

[HTML][HTML] Weed database development: An updated survey of public weed datasets and cross-season weed detection adaptation

B Deng, Y Lu, J Xu - Ecological Informatics, 2024 - Elsevier
Weeds are a major threat to crop production. Automated innovations for reducing herbicides
and labor needed for weeding have become a high priority for sustainable weed …