Results 271 to 280 of about 79,354 (341)

Weed detection and classification for autonomous farming

, 2008
Sarath Kodagoda, Z Zhang, David Ruiz, Gamini Dissanayake   +3 more
openalex   +1 more source

Effects of timed LED regimes on tomato plant traits, performance of two‐spotted spider mites, and predatory mites (Phytoseiulus persimilis)

Pest Management Science, Volume 81, Issue 4, Page 2300-2311, April 2025.
Light‐emitting diode (LED)‐based treatments for enhancing crop production and pest management have primarily focused on continuous treatments. This study, using Tetranychus urticae and Phytoseiulus persimilis, demonstrates that the timing of LED supplementation is crucial for designing integrated pest management strategies that improve both plant ...
Patrice Savi, Samantha Hall, Maria Hernandez, Anil Mantri, Daniel Kliebenstein, Christian Nansen   +5 more
wiley   +1 more source

Optimized Deep Learning Model for Crop-Weed Detection Using Bayesian and Crow Search Algorithms

sankarayarayan suresh, Umansh Agarwal, Rishika Gupta, Baadar Almarri   +3 more
openalex   +1 more source

The continuing significance of chiral agrochemicals

Pest Management Science, Volume 81, Issue 4, Page 1697-1716, April 2025.
In the time frame 2018–2023, around 43% of the 35 chiral agrochemicals introduced to the market (herbicides, fungicides, insecticides, acaricides, and nematicides) contain one or more stereogenic centers in the molecule, and almost 69% of them have been marketed as racemic mixtures of enantiomers or stereoisomers.
Peter Jeschke
wiley   +1 more source

Intercropping mitigates incidence of the oilseed rape insect pest complex

Pest Management Science, EarlyView.
Intercropping reduces the incidence of the oilseed rape insect pest complex with a significant impact of the direct visual and physical disruption provided by the companion plant. Abstract BACKGROUND Oilseed rape (OSR, Brassica napus) is a major crop requiring numerous phytosanitary treatments.
Laurie Magnin, Ivan Hiltpold, Alexandra Jullien, Alice Baux   +3 more
wiley   +1 more source

Research on Field Weed Target Detection Algorithm Based on Deep Learning. [PDF]

Sensors (Basel)
Chen Z, Wu L, Jia Z, Wang J, Zhou G, Zhang Z.   +5 more
europepmc   +1 more source

Decreased DMI sensitivity of Plenodomus biglobosus (phoma of oilseed rape) associated with CYP51 substitution G476S

Pest Management Science, EarlyView.
Here, we report for the first time a target site mutation in the CYP51 gene of the oilseed rape phoma stem canker fungus Plenodomus biglobosus (Leptosphaeria biglobosa) that is associated with decreased sensitivity to sterol demethylation inhibitor fungicides.
Kevin M King, Liza M González‐Rodríguez, Joanna Kaczmarek, Małgorzata Jędryczka, Jonathan S West   +4 more
wiley   +1 more source

Technology-driven approaches to intelligent mechanical weed control: a systematic review for sustainable weed management. [PDF]

Front Plant Sci
Das S, Upadhyay A, Sun X.
europepmc   +1 more source

Development and Preliminary Evaluation of a Machine Vision‐Guided Smart Sprayer Prototype Toward Precision Vegetable Weeding

Journal of Field Robotics, EarlyView.
ABSTRACT Sustainable weed management necessitates herbicide‐reduced, precision weed control. Recent advancements in machine vision and artificial intelligence (AI) for weed recognition and localization have created new opportunities for high‐precision weeding. Although blanket spraying systems are widely used for weed removal, machine vision‐guided, AI‐
Boyang Deng, Yuzhen Lu, Daniel Brainard
wiley   +1 more source

SEAFEC: a spatial-edge adaptive convolution for multi-scale and boundary-aware plant disease and weed imagery. [PDF]

Front Plant Sci
Sun C, Liu J, He B, Huang L, Lv L.
europepmc   +1 more source