Results 41 to 50 of about 5,083 (148)

A comparison of protocols for high-throughput weeds mapping

Smart Agricultural Technology
Increasing herbicide resistance in the US demands novel approaches to integrated weed management, including targeted chemical use and non-chemical methods.
Joaquin J. Casanova, Nicolas T. Bergmann, Jessica E.R. Kalin, Garett C. Heineck, Ian C. Burke   +4 more
doaj   +1 more source

Incorporating Surface Elevation Information in UAV Multispectral Images for Mapping Weed Patches

Journal of Imaging, 2018
Accurate mapping of weed distribution within a field is a first step towards effective weed management. The aim of this work was to improve the mapping of milk thistle (Silybum marianum) weed patches through unmanned aerial vehicle (UAV) images using ...
Theodota Zisi, Thomas K. Alexandridis, Spyridon Kaplanis, Ioannis Navrozidis, Afroditi-Alexandra Tamouridou, Anastasia Lagopodi, Dimitrios Moshou, Vasilios Polychronos   +7 more
doaj   +1 more source

An open source workflow for weed mapping in native grassland using unmanned aerial vehicle: using Rumex obtusifolius as a case study

European Journal of Remote Sensing, 2021
Weed control is one of the biggest challenges in organic farms or nature reserve areas where mass spraying is prohibited. Recent advancements in remote sensing and airborne technologies provide a fast and efficient means to support environmental ...
Olee Hoi Ying Lam, Marcel Dogotari, Moritz Prüm, Hemang Narendra Vithlani, Corinna Roers, Bethany Melville, Frank Zimmer, Rolf Becker   +7 more
doaj   +1 more source

Influence of Image Quality and Light Consistency on the Performance of Convolutional Neural Networks for Weed Mapping

Remote Sensing, 2021
Recent computer vision techniques based on convolutional neural networks (CNNs) are considered state-of-the-art tools in weed mapping. However, their performance has been shown to be sensitive to image quality degradation.
Chengsong Hu, Bishwa B. Sapkota, J. Alex Thomasson, Muthukumar V. Bagavathiannan   +3 more
doaj   +1 more source

Weed detection using unmanned aircraft vehicles

Julius-Kühn-Archiv, 2014
In contrast to agricultural remote sensing technologies, which are based on images from satellites or manned aircrafts, photogrammetry at low altitude from unmanned aircraft vehicles lead to higher spatial resolution, real-time processing and lower costs.
Pflanz, Michael, Feistkorn, Dominik, Nordmeyer, Henning   +2 more
doaj   +1 more source

Spatial Modelling of Within-Field Weed Populations; a Review

Agronomy, 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, Mette Sønderskov, Solvejg Kopp Mathiassen, Helen Metcalfe   +3 more
doaj   +1 more source

Effect of the Red-Edge Band from Drone Altum Multispectral Camera in Mapping the Canopy Cover of Winter Wheat, Chickweed, and Hairy Buttercup

Drones, 2023
The detection and mapping of winter wheat and the canopy cover of associated weeds, such as chickweed and hairy buttercup, are essential for crop and weed management.
Clement E. Akumu, Sam Dennis
doaj   +1 more source

Predicting Weed Migration from Soil and Climate Maps [PDF]

Weed Science, 1986
Soil characteristics, elevation, annual precipitation, potential evapotranspiration, length of frost-free season, and mean maximum July temperature were estimated for 116 established infestations of spotted knapweed (Centaurea maculosa Lam. # CENMA) in Montana using basic land resource maps.
Timothy K. Chicoine, Peter K. Fay, Gerald A. Nielsen   +2 more
openaire   +1 more source

The importance of weed flora mapping [PDF]

, 2002
Sastav korovske flore jednog staništa se menja u zavisnosti od klimatskih promena, tipa zemljišta, nadmorske visine, a podložan je i sezonskim promenema. S druge strane, sastav korovskih vrsta se menja i u zavisnosti od mera koje se preduzimaju u poljoprivredi (način obrade zemljišta, gustine gajenja, vrste useva, vrste i količine primenjenih đubriva ...
Stefanović, Lidija, Vrbničanin, Sava, Simić, Milena   +2 more
openaire  

Multi-Resolution Weed Classification via Convolutional Neural Network and Superpixel Based Local Binary Pattern Using Remote Sensing Images

Remote Sensing, 2019
Automatic weed detection and classification faces the challenges of large intraclass variation and high spectral similarity to other vegetation. With the availability of new high-resolution remote sensing data from various platforms and sensors, it is ...
Adnan Farooq, Xiuping Jia, Jiankun Hu, Jun Zhou   +3 more
doaj   +1 more source