Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems
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 …
control (SSWC) on the cusp of requisite performance for large-scale production systems …
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 …
Towards deep learning for weed detection: Deep convolutional neural network architectures for plant seedling classification
M Ofori, OF El-Gayar - 2020 - scholar.dsu.edu
Traditional means of on-farm weed control mostly relies on manual labor. This process is
time consuming, costly and contributes to major yield losses. The conventional application of …
time consuming, costly and contributes to major yield losses. The conventional application of …
[HTML][HTML] Weed database development: An updated survey of public weed datasets and cross-season weed detection adaptation
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 …
and labor needed for weeding have become a high priority for sustainable weed …
Weed management in 2050: Perspectives on the future of weed science
JH Westwood, R Charudattan, SO Duke… - Weed …, 2018 - cambridge.org
The discipline of weed science is at a critical juncture. Decades of efficient chemical weed
control have led to a rise in the number of herbicide-resistant weed populations, with few …
control have led to a rise in the number of herbicide-resistant weed populations, with few …
The biological engineer: sensing the difference between crops and weeds
DC Slaughter - Automation: The future of weed control in cropping …, 2013 - Springer
This chapter describes the current state of the art in technology and methodology being
used to develop sensors for automated weed control in cropping systems. The development …
used to develop sensors for automated weed control in cropping systems. The development …
True integrated weed management
SL Young - Weed research, 2012 - Wiley Online Library
Young SL (2012) True Integrated Weed Management. Weed Research 52, 107–111.
Summary Using the simplest of definitions, integrated weed management has been …
Summary Using the simplest of definitions, integrated weed management has been …
Weed detection for selective spraying: a review
B Liu, R Bruch - Current Robotics Reports, 2020 - Springer
Abstract Purpose of Review Weed detection systems are important solutions to one of the
existing agricultural problems—unmechanized weed control. Weed detection also helps …
existing agricultural problems—unmechanized weed control. Weed detection also helps …
New directions for integrated weed management: Modern technologies, tools and knowledge discovery
Weed science, as an integral part of agricultural production needs to evolve by moving away
from its mono-disciplinary perspective at targeting weeds, sometimes a single species …
from its mono-disciplinary perspective at targeting weeds, sometimes a single species …
[HTML][HTML] Early weed identification based on deep learning: A review
Y Zhang, M Wang, D Zhao, C Liu, Z Liu - Smart Agricultural Technology, 2023 - Elsevier
Weeds were one of the most destructive constraints on crop production and posed a
significant threat to agricultural productivity. The increasing development of smart agriculture …
significant threat to agricultural productivity. The increasing development of smart agriculture …