Results 51 to 60 of about 5,083 (148)

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 Distribution and Dynamics of an Invasive Grass in Tropical Savanna Using Airborne LiDAR

Remote Sensing, 2015
The spread of an alien invasive grass (gamba grass—Andropogon gayanus) in the tropical savannas of Northern Australia is a major threat to habitat quality and biodiversity in the region, primarily through its influence on fire intensity.
Shaun R. Levick, Samantha A. Setterfield, Natalie A. Rossiter-Rachor, Lindsay B. Hutley, Damien MacMaster, Jorg M. Hacker   +5 more
doaj   +1 more source

Cross-Modal Feature Fusion for Field Weed Mapping Using RGB and Near-Infrared Imagery

Agriculture
The accurate mapping of weeds in agricultural fields is essential for effective weed control and enhanced crop productivity. Moving beyond the limitations of RGB imagery alone, this study presents a cross-modal feature fusion network (CMFNet) designed ...
Xijian Fan, Chunlei Ge, Xubing Yang, Weice Wang   +3 more
doaj   +1 more source

Weed Species Identification: Acquisition, Feature Analysis, and Evaluation of a Hyperspectral and RGB Dataset with Labeled Data

Remote Sensing
Site-specific weed management employs image data to generate maps through various methodologies that classify pixels corresponding to crop, soil, and weed.
Inbal Ronay, Ran Nisim Lati, Fadi Kizel
doaj   +1 more source

Weeding and disposal in Academic Labraries

Brazilian Journal of Information Science, 2013
The aim of this study is to raise and discuss the literature on weeding and disposal in academic libraries. A survey of documents in databases of national and international scientific articles that address this issue. Items recovered on disposal and weeding were filtered and separated into four categories, namely: physical space, the current collection,
Márcia Regina Silva, Cláudio Marcondes Castro Filho, Paula Oliveira Quirino   +2 more
openaire   +4 more sources

RoWeeder: Unsupervised Weed Mapping Through Crop-Row Detection

Precision agriculture relies heavily on effective weed management to ensure robust crop yields. This study presents RoWeeder, an innovative framework for unsupervised weed mapping that combines crop-row detection with a noise-resilient deep learning model.
Pasquale De Marinis, Gennaro Vessio, Giovanna Castellano   +2 more
openaire   +2 more sources

From unwanted to wanted: Blending functional weed traits into weed distribution maps

Weed Research
AbstractSite‐specific weed management (SSWM) is increasingly employed to reduce herbicide inputs. Incorporating functional traits of weed species allows for the selection of SSWM methods that effectively reduce the abundance of weeds with a high competitive potential (disservice) while preserving weeds that provide beneficial ecosystem services ...
Mona Schatke, Lena Ulber, Talie Musavi, Jana Wäldchen, Christoph von Redwitz   +4 more
openaire   +2 more sources

Mapping three invasive weeds using airborne hyperspectral imagery

Ecological Informatics, 2010
Invasive plant species present a serious problem to the natural environment and have adverse ecological and economic impacts on both terrestrial and aquatic ecosystems they invade. This article presents three case studies on the use of hyperspectral remote sensing for mapping invasive plant species in both terrestrial and aquatic environments.
Chenghai Yang, James H. Everitt
openaire   +1 more source

Efficient UAV-Based Automatic Classification of Cassava Fields Using K-Means and Spectral Trend Analysis

AgriEngineering
High-resolution images captured by Unmanned Aerial Vehicles (UAVs) play a vital role in precision agriculture, particularly in evaluating crop health and detecting weeds. However, the detailed pixel information in these images makes classification a time-
Apinya Boonrang, Pantip Piyatadsananon, Tanakorn Sritarapipat   +2 more
doaj   +1 more source

Field coverage and weed mapping by UAV swarms

2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017
The demands from precision agriculture (PA) for high-quality information at the individual plant level require to re-think the approaches exploited to date for remote sensing as performed by unmanned aerial vehicles (UAVs). A swarm of collaborating UAVs may prove more efficient and economically viable compared to other solutions. To identify the merits
Albani Dario, Albani Dario, Nardi Daniele, Trianni Vito   +3 more
openaire   +4 more sources