Investigating the host finding behaviour of the weevil Phytobius vestitus for the biological control of the invasive aquatic weed Myriophyllum aquaticum

Pessina, A.; Humair, L.; Naderi, R.; Röder, G.; Seehausen, M.L.; Rasmann, S.; Weyl, P.

doi:10.1016/j.biocontrol.2024.105509

Cited by 4 publications

(1 citation statement)

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“…In general, weeds can cause a 10% to 20% reduction in rapeseed production, and in severe cases, it can even reduce production by 50% [10]. The main methods of weed control currently used include manual weeding [11], chemical weeding [12], mechanical weeding [13,14], biotechnological weeding [15], and thermal power weeding [16,17]. Among them, manual weeding, chemical weeding, and mechanical weeding are the most commonly used methods in rapeseed fields.…”

Section: Introductionmentioning

confidence: 99%

YOLOv7-Based Intelligent Weed Detection and Laser Weeding System Research: Targeting Veronica didyma in Winter Rapeseed Fields

Qin,

Xu,

Wang

et al. 2024

Agriculture

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In recent years, rapeseed oil has received considerable attention in the agricultural sector, experiencing appreciable growth. However, weed-related challenges are hindering the expansion of rapeseed production. This paper outlines the development of an intelligent weed detection and laser weeding system—a non-chemical and precision agricultural protection method of weeding Veronica didyma in winter rapeseed fields in the Yangtze River Basin. A total of 234 Veronica didyma images were obtained to compile a database for a deep-learning model, and YOLOv7 was used as the detection model for training. The effectiveness of the model was demonstrated, with a final accuracy of 94.94%, a recall of 95.65%, and a mAP@0.5 of 0.972 obtained. Subsequently, parallel-axis binocular cameras were selected as the image acquisition platform, with binocular calibration and semi-global block matching used to locate Veronica didyma within a cultivation box, yielding a minimum confidence and camera height values of 70% and 30 cm, respectively. The intelligent weed detection and laser weeding system was then built, and the experimental results indicated that laser weeding was practicable with a 100 W power and an 80 mm/s scanning speed, resulting in visibly lost activity in Veronica didyma and no resprouting within 15 days of weeding. The successful execution of Veronica didyma detection and laser weeding provides a new reference for the precision agricultural protection of rapeseed in winter and holds promise for its practical application in agricultural settings.

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