Results 11 to 20 of about 283 (97)

An Overview of Precision Weed Mapping and Management Based on Remote Sensing

open access: yesRemote Sensing, 2022
Precision Agriculture face the challenge of feeding an increasing population, maximizing yield while optimizing inputs [...]
Dionisio Andujar, Jorge Martinez-Guanter
openaire   +3 more sources

Risk Assessment and Examination of Economic Aspects of Precision Weed Management [PDF]

open access: yesSustainability, 2011
The aim of this research is to investigate plant production sustainability, the economical requirements, risks, and identify threshold levels to switching on, or off precision weed management techniques in Hungarian growing and sales conditions; taking into consideration that the implementation of precision technology can be justified also by its role ...
Katalin Takács-György, István Takács
openaire   +2 more sources

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

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

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 ...
Krishna N. Reddy   +3 more
openaire   +2 more sources

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

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

A Field Weed Density Evaluation Method Based on UAV Imaging and Modified U-Net

open access: yesRemote Sensing, 2021
Weeds are one of the main factors affecting the yield and quality of agricultural products. Accurate evaluation of weed density is of great significance for field management, especially precision weeding.
Kunlin Zou   +4 more
doaj   +1 more source

Weed and crop species classification using computer vision and deep learning technologies in greenhouse conditions

open access: yesJournal of Agriculture and Food Research, 2022
Site-specific weed management in Precision Agriculture is becoming a popular topic among researchers and farmers. The objective of this study was to classify weeds and crop species using RGB image texture features with the comparison of the Support ...
Sunil G C   +5 more
doaj   +1 more source

Weed detection in agricultural fields using machine vision [PDF]

open access: yesBIO Web of Conferences
Weeds have the potential to cause significant damage to agricultural fields, so the development of weed detection and automatic weed control in these areas is very important.
Moldvai László   +3 more
doaj   +1 more source

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