Results 21 to 30 of about 17,386,908 (291)

Using stochastic dynamic programming to support weed management decisions over a rotation [PDF]

, 2009
This study describes a model that predicts the impact of weed management on the population dynamics of arable weeds over a rotation and presents the economic consequences.
Parsons, D. J., Milne, Alice E., Storkey, J., Lutman, P. J. W., Cussans, J., Benjamin, L. R., Parsons, David J., Milne, A. E.   +7 more
core   +1 more source

Weed Manager-A model-based decision support system for weed management in arable crops [PDF]

, 2009
Weed Manager is a model-based decision support system to assist arable farmers and advisers in weed control decisions on two time scales: within a single season and over several years in a rotation.
Parsons, D. J., Milne, Alice E., Clarke, J., Benjamin, L. R., Wilkinson, D. J., Parsons, David J., Milne, A. E., Ginsburg, D., Mayes, A.   +8 more
core   +1 more source

Intelligent Weed Management Based on Object Detection Neural Networks in Tomato Crops

Agronomy, 2022
As the tomato (Solanum lycopersicum L.) is one of the most important crops worldwide, and the conventional approach for weed control compromises its potential productivity. Thus, the automatic detection of the most aggressive weed species is necessary to
Juan Manuel López-Correa, Hugo Moreno, Angela Ribeiro, Dionisio Andújar   +3 more
doaj   +1 more source

Impact of site-specific weed management on herbicide savings and winter wheat yield

Plant, Soil and Environment, 2013
An aggregated distribution pattern of weed populations provides opportunity to reduce the herbicide application if site-specific weed management is adopted.
P. Hamouz, K. Hamouzová, J. Holec, L. Tyšer   +3 more
doaj   +1 more source

Optical Sensing of Weed Infestations at Harvest

Sensors, 2017
Kochia (Kochia scoparia L.), Russian thistle (Salsola tragus L.), and prickly lettuce (Lactuca serriola L.) are economically important weeds infesting dryland wheat (Triticum aestivum L.) production systems in the western United States.
Judit Barroso, John McCallum, Dan Long
doaj   +1 more source

Monitoring the Spatial Variability of Knapweed (Centaurea diluta Aiton) in Wheat Crops Using Geostatistics and UAV Imagery: Probability Maps for Risk Assessment in Site-Specific Control

Agronomy, 2021
Assessing the spatial distribution of weeds within a field is a key step to the success of site-specific weed management strategies. Centaurea diluta (knapweed) is an emerging weed that is causing a major agronomic problem in southern and central Spain ...
Montserrat Jurado-Expósito, Francisca López-Granados, Francisco Manuel Jiménez-Brenes, Jorge Torres-Sánchez   +3 more
doaj   +1 more source

Looking beyond Glyphosate for Site-Specific Fallow Weed Control in Australian Grain Production

, 2023
Summer annual weed species in northern Australian summer fallows are frequently present at low densities and, increasingly, are glyphosate-resistant, creating the need for alternative herbicides for site-specific weed control.
John C. Broster, Angus Malmo, Michael J. Walsh   +2 more
core   +1 more source

Herbicide Resistance Management: Recent Developments and Trends

Plants, 2019
This review covers recent developments and trends in herbicide-resistant (HR) weed management in agronomic field crops. In countries where input-intensive agriculture is practiced, these developments and trends over the past decade include renewed ...
Hugh J. Beckie, Michael B. Ashworth, Ken C. Flower   +2 more
doaj   +1 more source

Measuring and modelling parameters from hyperspectral sensors for site-specific crop protection [PDF]

, 2010
This thesis sought to optimise systems for plant protection in precision agriculture through developing a field method for estimating crop status parameters from hyperspectral sensors, and an empirical model for estimating the required herbicide dose in ...
Larsolle, Anders
core   +1 more source

TIA-YOLOv5: An improved YOLOv5 network for real-time detection of crop and weed in the field

Frontiers in Plant Science, 2022
IntroductionDevelopment of weed and crop detection algorithms provides theoretical support for weed control and becomes an effective tool for the site-specific weed management. For weed and crop object detection tasks in the field, there is often a large
Aichen Wang, Tao Peng, Huadong Cao, Yifei Xu, Yifei Xu, Xinhua Wei, Bingbo Cui   +6 more
doaj   +1 more source