Results 81 to 90 of about 79,255 (242)

Predicting spring barley yield from variety-specific yield potential, disease resistance and straw length, and from environment-specific disease loads and weed pressure [PDF]

, 2008
For low-input crop production, well-characterised varieties increase the possibilities of managing diseases and weeds. This analysis aims at developing a framework for analyzing grain yield using external varietal information about disease resistance ...
Hansen, P.K., Hovmøller, M.S., Kristensen, K., Pinnschmidt, H.O., Østergård, H.   +4 more
core   +1 more source

Real-Time Detection and Localization of Weeds in Dictamnus dasycarpus Fields for Laser-Based Weeding Control

Agronomy
Traditional Chinese medicinal herbs have strict environmental requirements and are highly susceptible to weed damage, while conventional herbicides can adversely affect their quality. Laser weeding has emerged as an effective method for managing weeds in
Yanlei Xu, Zehao Liu, Jian Li, Dongyan Huang, Yibing Chen, Yang Zhou   +5 more
doaj   +1 more source

Recent results in the development of band steaming for intra-row weed control [PDF]

, 2004
The recent achievements with developing band-steaming techniques for intra-row weed control in vegetables are ...
Elsgaard, Scientist Lars, Jørgensen, Scientist Martin Heide, Melander, Scientist Bo   +2 more
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A field deployable method for a rapid screening analysis of inorganic arsenic in seaweed [PDF]

, 2017
The authors thank the support for getting the seaweed samples from the projects funded under the Department of Agriculture, Food and the Marine’s Competitive research programmes in Ireland. Reference number 14 SF 860. The authors thank Corny Brombach for
Bralatei, Edi, Feldmann, Joerg, Krupp, Eva M., McGovern, Evin, Nekrosiute, Karolina, Raab, Andrea, Ronan, Jenny, Stengel, Dagmar B.   +7 more
core   +2 more sources

Emerging technologies for physical weed control in row crops in Euro [PDF]

, 2006
Review of European physical and cultural weed control methods including new directions in research and ...
Melander, Bo, van der Weide, Rommie
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Online Informative Path Planning for Active Classification on UAVs

, 2016
We propose an informative path planning (IPP) algorithm for active classification using an unmanned aerial vehicle (UAV), focusing on weed detection in precision agriculture. We model the presence of weeds on farmland using an occupancy grid and generate
Galceran, Enric, Hitz, Gregory, Nieto, Juan, Popovic, Marija, Siegwart, Roland   +4 more
core   +1 more source

Deep Learning Techniques for Weed Detection in Agricultural Environments: A Comprehensive Review

IEEE Access
Agriculture has been completely transformed by Deep Learning (DL) techniques, which allow for quick object localization and detection. However, because weeds and crops are similar in color, form, and texture, weed detection and categorization can be ...
Deepthi G Pai, Radhika Kamath, Mamatha Balachandra   +2 more
doaj   +1 more source

Evolutionary-thinking in agricultural weed management [PDF]

, 2009
Agricultural weeds evolve in response to crop cultivation. Nevertheless, the central importance of evolutionary ecology for understanding weed invasion, persistence and management in agroecosystems is not widely acknowledged.
Ainsworth, Ainsworth, Andersson, Arntz, Ashley, Baker, Baker, Ball, Barberi, Barrett, Barrett, Barrett, Barton, Beckie, Beckie, Booth, Buhler, Burnside, Busi, Carroll, Cavers, Chapman, Cleland, Clements, Clements, Cocker, Connell, Cousens, Cousens, Coustau, Dauer, Derksen, Diggle, Drake, Dunbabin, Elena, Ellstrand, Fabrice Roux, Fernandez-Quintanilla, Franks, Franks, Fried, Fuhrer, Genton, Ghersa, Gressel, Gressel, Grime, Hairston, Hald, Hamrick, Harper, Hawes, Heap, Heap, Hermisson, Holst, Ianetta, Jacquemin, Jander, Jordan, Jordan, Jordan, Kassen, Kirchner, Lande, Lande, Le Corre, Le Roux, Leiss, Lenormand, Martin Vila-Aiub, Maxwell, Mayr, McCloskey, Menchari, Menchari, Merilä, Michael, Morgan, Mortensen, Mortimer, Moss, Naylor, Neve, Neve, Neve, Neve, Neve, Novak, Oerke, Orr, Orr, Owen, Patterson, Paul Neve, Pedersen, Pimentel, Plowman, Powles, Powles, Powles, Preston, Ray, Reboud, Reboud, Reboud, Reed, Roux, Roux, Roux, Roux, Roux, Ruegg, Ryan, Sahli, Salzmann, Sherry, Smith, Sultan, Swanton, Tabashnik, Tardif, Thompson, Van Acker, Van Valen, Vila-Aiub, Wang, Warwick, Warwick, Warwick, Warwick, Warwick, Weaver, Weiner, Weinig, Westra, Wijngaarden, Wilczek, Willi, Ziska   +140 more
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MKD8: An Enhanced YOLOv8 Model for High-Precision Weed Detection

Agriculture
Weeds are an inevitable element in agricultural production, and their significant negative impacts on crop growth make weed detection a crucial task in precision agriculture.
Wenxuan Su, Wenzhong Yang, Jiajia Wang, Doudou Ren, Danny Chen   +4 more
doaj   +1 more source

A review of knowledge of the potential impacts of GMOs on organic agriculture [PDF]

, 2001
The organic movement believes that organic agriculture, by its nature, cannot involve the use of genetically modified organisms (GMOs). This has been incorporated into EU regulations which state that there is no place in organic agriculture for GMOs ...
Clarke, Belinda, Dale, Phillip, Fontes, Eliana, Martin, Wolfe, Pearce, Bruce, Welsh, James   +5 more
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