Results 11 to 20 of about 3,630 (161)

Effect of varying training epochs of a Faster Region-Based Convolutional Neural Network on the Accuracy of an Automatic Weed Classification Scheme

open access: yesSmart Agricultural Technology, 2023
Site-specific weed detection and management is a crucial approach for crop production management and herbicide contamination mitigation in precision agriculture. With the advent of unmanned aerial vehicles (UAVs) and advances in deep learning techniques,
Oluibukun Gbenga Ajayi, John Ashi
doaj   +1 more source

CROP AND WEED SEGMENTATION ON GROUND-BASED IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORK [PDF]

open access: yesISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Weed management is of crucial importance in precision agriculture to improve productivity and reduce herbicide pollution. In this regard, showing promising results, deep learning algorithms have increasingly gained attention for crop and weed ...
H. Fathipoor, R. Shah-Hosseini, H. Arefi
doaj   +1 more source

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

Precision farming techniques for sustainable weed management

open access: yesemergent Life Sciences Research, 2022
Weed management in modern agriculture is crucial to avoid yield losses and ensure food security. Climate change, intensive agricultural practices, and natural disasters change weed dynamics, requiring changes in weed management strategies. In addition to labor shortages, manual and chemical control options are no longer viable because of weed ...
Nihal Dwivedi   +2 more
openaire   +1 more source

UAV Technology for Precision Weed Detection and Management

open access: yesPlant Health Archives, 2023
In India population increases rapidly day-by-day, therefore food demand also increases. Traditional farming is insufficient to meet these demands. Thus, Unmanned Aerial Vehicles (drones) were introduced, enabling Weed Management in less time, efficient use of herbicide and pesticide to bring sustainability to the environment and their resources. One of
Bobilan Debbarma   +2 more
openaire   +1 more source

Extent and Implications of Weed Spatial Variability in Arable Crop Fields

open access: yesPlant Production Science, 2001
The integration of technologies and principles to assess, manage, and evaluate spatial and temporal variability has enabled the site-specific application of variable rates of agrochemicals. It is referred to as precision management. This article concerns
Salvador Garibay   +6 more
doaj   +1 more source

Herbicide Resistance Management: Recent Developments and Trends

open access: yesPlants, 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   +2 more
doaj   +1 more source

Deep Learning-Based Weed Detection in Turf: A Review

open access: yesAgronomy, 2022
Precision spraying can significantly reduce herbicide input for turf weed management. A major challenge for autonomous precision herbicide spraying is to accurately and reliably detect weeds growing in turf. Deep convolutional neural networks (DCNNs), an
Xiaojun Jin   +3 more
doaj   +1 more source

UAV Low-Altitude Remote Sensing for Precision Weed Management [PDF]

open access: yesWeed Technology, 2017
AbstractPrecision weed management, an application of precision agriculture, accounts for within-field variability of weed infestation and herbicide damage. Unmanned aerial vehicles (UAVs) provide a unique platform for remote sensing of field crops. They are more efficient and flexible than manned agricultural airplanes in acquiring high-resolution ...
Yanbo Huang   +3 more
openaire   +1 more source

Comparison of Object Detection and Patch-Based Classification Deep Learning Models on Mid- to Late-Season Weed Detection in UAV Imagery

open access: yesRemote Sensing, 2020
Mid- to late-season weeds that escape from the routine early-season weed management threaten agricultural production by creating a large number of seeds for several future growing seasons.
Arun Narenthiran Veeranampalayam Sivakumar   +6 more
doaj   +1 more source

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