Results 331 to 340 of about 408,423 (401)

Integrated effects of anaerobic soil disinfestation and beneficial microbes in strawberry production. [PDF]

PLoS One
Aljawasim BD, Richardson P, Mei C, Chretien RL, Lowman JS, Samtani JB.   +5 more
europepmc   +1 more source

Herbicide Screening and Application Method Development for Sustainable Weed Management in <i>Tagetes erecta</i> L. Fields. [PDF]

Plants (Basel)
Zhang Y, Feng D, Jia C, Huang W, Xu F, Jiang Y, Huang J, Li Y, Wang J, Tang D.   +9 more
europepmc   +1 more source

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Overview of glyphosate‐resistant weeds worldwide

Pest Management Science, 2018
Ian M Heap, Stephen O Duke
exaly   +2 more sources

A Novel Deep Learning-Based Method for Detection of Weeds in Vegetables.

Pest Management Science, 2022
BACKGROUND Precision weed control in vegetable fields can substantially reduce the required weed control inputs. Rapid and accurate weed detection in vegetable fields is a challenging task due to the presence of a wide variety of weed species at various ...
Xiaojun Jin, Yanxia Sun, Jun Che, M. Bagavathiannan, Jialin Yu, Yong Chen   +5 more
semanticscholar   +1 more source

Effect of Irrigation, Nitrogen Sources, and Metribuzin on Performance of Maize and Its Weeds

Communications in Soil Science and Plant Analysis, 2022
Exploiting water and nutrients by crop plants is limiting by abundance of undesirable plant species viz weeds due to their competitiveness ability, affecting crop productivity and quality.
H. Saudy, Ibrahim Mohamed El–Metwally
semanticscholar   +1 more source

A deep learning-based method for classification, detection, and localization of weeds in turfgrass.

Pest Management Science, 2022
BACKGROUND Precision spraying of synthetic herbicides can reduce herbicide input. Previous research demonstrated the effectiveness of using image classification neural networks for detecting weeds growing in turfgrass but did not attempt to discriminate ...
Xiaojun Jin, M. Bagavathiannan, P. McCullough, Yong Chen, Jialin Yu   +4 more
semanticscholar   +1 more source

Assessment of yield and economic losses in agriculture due to weeds in India

Crop Protection, 2018
Yogita Gharde, , Rp Dubey
exaly   +2 more sources

Evolutionary and ecological insights from herbicide‐resistant weeds: what have we learned about plant adaptation, and what is left to uncover?

New Phytologist, 2019
The evolution of herbicide resistance in crop weeds presents one of the greatest challenges to agriculture and the production of food. Herbicide resistance has been studied for more than 60 yr, in the large part by researchers seeking to design effective
Regina S Baucom
exaly   +2 more sources

Recognition of weeds at asparagus fields using multi-feature fusion and backpropagation neural network

International Journal of Agricultural and Biological Engineering, 2021
In order to solve the problem of low recognition rates of weeds by a single feature, a method was proposed in this study to identify weeds in Asparagus (Asparagus officinalis L.) field using multi-feature fusion and backpropagation neural network (BPNN).
Yafei Wang, Xiaodong Zhang, Guoxin Ma, Xiaoxue Du, Naila Shaheen, H. Mao   +5 more
semanticscholar   +1 more source