Results 81 to 90 of about 11,448 (161)

Weed Detection Using Textural Image Analysis

, 2007
The objective of the work described here was to detect broad-leaved weeds in grassland. We used textural image analysis to detect weeds in grass. In the textural analysis, images were divided in square tiles, which were subjected to a 2-D FFT. The power of the resulting spectrum was found to be a measure of the presence of coarse elements (weeds ...
Polder, G., van Evert, F.K., Lamaker, A., de Jong, A., van der Heijden, G.W.A.M., Lotz, L.A.P., van der Zalm, A.J.A., Kempenaar, C.   +7 more
openaire   +1 more source

Vision-language models for zero-shot weed detection and visual reasoning in UAV-based precision agriculture. [PDF]

Front Plant Sci
Nasir MF, Rehman MU, Hussain I.
europepmc   +1 more source

Enhancing weed detection through knowledge distillation and attention mechanism. [PDF]

Front Robot AI
El Alaoui A, Mousannif H.
europepmc   +1 more source

HDMS-YOLO: a multi-scale weed detection model for complex farmland environments. [PDF]

Front Plant Sci
Hua J, He R, Zeng Y, Chen Q.
europepmc   +1 more source

YOLOv12-BDA: A Dynamic Multi-Scale Architecture for Small Weed Detection in Sesame Fields. [PDF]

Sensors (Basel)
Xia G, Li X.
europepmc   +1 more source

Automatic Weed Detection & Sprayer Robot

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
The traditional method of weed removal in agricultural fields involves spraying herbicides across the entire area, which leads to contamination of crops and reduced yield, as some productive plants may die alongside the grass. Thus, a clever weed control technique is required. Crop rows are photographed at regular intervals for this investigation using
openaire   +1 more source

FSEA: Incorporating domain-specific prior knowledge for few-shot weed detection. [PDF]

Plant Phenomics
Gai J, Lu B, Liu S, Pan M, Chen B, Tang L, Cen H.   +6 more
europepmc   +1 more source

PHRF-RTDETR: a lightweight weed detection method for upland rice based on RT-DETR. [PDF]

Front Plant Sci
Jin X, Zhang J, Wang F, Zhao M, Wang Y, Yang J, Wu J, Zhou B.   +7 more
europepmc   +1 more source

Weed detection by aerial imagery : toward weed management by UAV

, 2016
The agricultural framework aims to reduce pesticide use on fields. Weed management, which is highly herbicide consuming, became a great issue. In order to develop a weed management service using UAV, this PhD dissertation studies how to adapt the acquisition system (UAV + multispectral camera) developed by AIRINOV to detect weeds in row crops.
openaire   +1 more source

Application-Specific Evaluation of a Weed-Detection Algorithm for Plant-Specific Spraying. [PDF]

Sensors (Basel), 2020
Ruigrok T, van Henten E, Booij J, van Boheemen K, Kootstra G.   +4 more
europepmc   +1 more source