Results 191 to 200 of about 12,860 (253)
The acyclic mucobromic acid, activated by (1S)‐(+)‐10‐camphorsulfonic acid, afforded the chiral compound 1b, precursor for aza‐Michael addition/elimination on the butenolide yielding tetronamides 2b‐7b. Their relative SRSR configuration was confirmed by the spectrometric methods, DFT calculation and statistical methods.
Kamylla CF Faria +2 more
wiley +1 more source
Evaluation of Inference Performance of Deep Learning Models for Real-Time Weed Detection in an Embedded Computer. [PDF]
Mwitta C, Rains GC, Prostko E.
europepmc +1 more source
Sublethal herbicide exposure alters cotton susceptibility to aphid infestation
Sublethal herbicide exposure altered cotton susceptibility to aphids. Aphid severity was highest when applications occurred at early vegetative stages and declined as the crop matured. In glasshouse, herbicide effects were dose‐dependent. Abstract BACKGROUND Herbicides remain vital tools for weed control, yet their effects can extend beyond weeds to ...
Purushottam Gyawali +4 more
wiley +1 more source
Intrarow Uncut Weed Detection Using You-Only-Look-Once Instance Segmentation for Orchard Plantations. [PDF]
Sampurno RM +3 more
europepmc +1 more source
This review bridges the gap between understanding resistance mechanisms and applying them in weed management, highlighting how mechanistic insights reveal vulnerabilities that can guide more effective control strategies. Abstract Herbicide resistance remains one of the most intensively studied areas in weed science because of its direct consequences ...
Luan Cutti +3 more
wiley +1 more source
Control efficacy of three types of non‐insecticidal consumer products were examined in laboratory, simulated‐use, and field conditions. Freeze spray and ‘repellent lamp’ showed limited efficacy, whereas various results in attraction in light trap were reported.
Min‐Geun Son +3 more
wiley +1 more source
Weed Detection from Unmanned Aerial Vehicle Imagery Using Deep Learning-A Comparison between High-End and Low-Cost Multispectral Sensors. [PDF]
Seiche AT, Wittstruck L, Jarmer T.
europepmc +1 more source
Innovation in pest management: can the past inform the future?
Progress in pest management occurred incrementally, but occasionally, transformative discoveries introduced disruptive technologies. Looking ahead, generative artificial intelligence is expected to accelerate agricultural discovery by integrating vast datasets from mechanization, genetics, and chemistry.
Eric Moog, Franck E. Dayan
wiley +1 more source
Resistance to thiophanate‐methyl and azoxystrobin in Colletotrichum species from Brazilian grapes
First report of resistance to both quinone outside inhibitor (QoI; azoxystrobin) and methyl benzimidazole carbamate (MBC; thiophanate‐methyl) fungicides in Colletotrichum isolates associated with grapevine in Brazil. Abstract BACKGROUND Grape ripe rot (GRR) caused by Colletotrichum species can cause yield loss in vineyards in Southern and Northeast ...
Daniel Ricardo Maass Steiner +5 more
wiley +1 more source

