Results 11 to 20 of about 9,166 (250)

Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields. [PDF]

open access: yesPlants (Basel), 2020
Dadashzadeh M   +6 more
europepmc   +2 more sources

Computer Vision for Site-Specific Weed Management in Precision Agriculture: A Review

open access: yesAgriculture
Weed management is always a challenge in crop production, exacerbated by the issue of herbicide resistance. Excessive herbicide application not only leads to the development of herbicide resistance weeds but also causes environmental problems.
Puranjit Singh, Biquan Zhao, Yeyin Shi
doaj   +2 more sources

Herbicide resistance: Can German researchers and farmers learn from experiences in Australia and North America?

open access: yesJulius-Kühn-Archiv, 2022
Herbicide resistance is a significant and increasing problem for growers and land managers in inputintensive agricultural systems worldwide. In Australia and North America, herbicides are the main tools for managing problematic agricultural weeds, with ...
Beckie, Hugh J.
doaj   +1 more source

Better-Weeds – Next generation weed management

open access: yesJulius-Kühn-Archiv, 2022
Digitalisation in agriculture is currently expanding very rapidly. Digital field maps, geo-referenced machine movements, and a vast set of sensors on different platforms are already utilised on arable farms and even robotic field management is tested ...
Redwitz, Christoph von   +9 more
doaj   +1 more source

Assessment of Weed Classification Using Hyperspectral Reflectance and Optimal Multispectral UAV Imagery

open access: yesAgronomy, 2021
Weeds compete with crops and are hard to differentiate and identify due to their similarities in color, shape, and size. In this study, the weed species present in sorghum (sorghum bicolor (L.) Moench) fields, such as amaranth (Amaranthus macrocarpus ...
Nik Norasma Che’Ya   +2 more
doaj   +1 more source

Laser Weeding With Small Autonomous Vehicles: Friends or Foes?

open access: yesFrontiers in Agronomy, 2022
Weed control is necessary to ensure a high crop yield with good quality. Herbicide application and mechanical weeding are the most common methods worldwide.
Christian Andreasen   +2 more
doaj   +1 more source

Drone and sensor technology for sustainable weed management: a review

open access: yesChemical and Biological Technologies in Agriculture, 2021
Weeds are amongst the most impacting abiotic factors in agriculture, causing important yield loss worldwide. Integrated Weed Management coupled with the use of Unmanned Aerial Vehicles (drones), allows for Site-Specific Weed Management, which is a highly
Marco Esposito   +4 more
doaj   +1 more source

Spatial Modelling of Within-Field Weed Populations; a Review

open access: yesAgronomy, 2020
Concerns around herbicide resistance, human risk, and the environmental impacts of current weed control strategies have led to an increasing demand for alternative weed management methods.
Gayle J. Somerville   +3 more
doaj   +1 more source

Classification of paddy crop and weeds using semantic segmentation

open access: yesCogent Engineering, 2022
Weeds are unwanted plants in a farm field and have harmful effects on the crops. Sometimes rigorous weeds bring down the crop yield significantly, causing huge losses to farmers.
Radhika Kamath   +3 more
doaj   +1 more source

Non-Chemical Weed Control for Plant Health and Environment: Ecological Integrated Weed Management (EIWM)

open access: yesAgronomy, 2022
Herbicide application has long been considered the most efficient weed control method in agricultural production worldwide. However, long-term use of agrochemicals has numerous negative effects on crops and the environment. Bearing in mind these negative
Danijela Pavlović   +5 more
doaj   +1 more source

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