Results 61 to 70 of about 11,845 (152)

TARGET DETECTION FOR WEEDING ROBOTS BASED ON IMPROVED YOLOv11 MODELS

Engenharia Agrícola
This paper addresses the issues of insufficient accuracy and energy efficiency balance in the weed detection models that are currently used in agricultural weeding robots. To tackle this problem, we propose an enhanced YOLOv11-SNEW algorithm based on the
Jianguo Meng, Yanzhou Li, Zhipeng Li, Wenxia Xie   +3 more
doaj   +1 more source

A real-time approach system for vineyards intra-row weed detection

, 2022
Vasileios Moysiadis, Dimitrios Kateris, Dimitrios Katikaridis, Giorgos Vasileiadis, Vasileios Kolorizos, Aristotelis C. Tagarakis, Dionysis Bochtis   +6 more
openalex   +1 more source

Weed Detection Using Deep Learning: A Systematic Literature Review. [PDF]

Sensors (Basel), 2023
Murad NY, Mahmood T, Forkan ARM, Morshed A, Jayaraman PP, Siddiqui MS.   +5 more
europepmc   +1 more source

Procedures of image analysis for weed recognition in cereals

Julius-Kühn-Archiv, 2012
An automatic weed recognition system is a prerequisite for site specific weed control when using weed threshold concepts. Segmentation, a preprocessing step, is applied to two- or three-dimensional images. In the following step, methods of graph matching,
Kluge, Alexander, Nordmeyer, Henning
doaj   +1 more source

Key Technologies of Intelligent Weeding for Vegetables: A Review

Agriculture
Vegetables are an essential part of people’s daily diet, and weeds can cause serious losses in vegetable yield and quality. Intelligent weeding technology for vegetables will be one of the mainstream technologies in modern agricultural development.
Jinkang Jiao, Ying Zang, Chaowen Chen
doaj   +1 more source

Weed detection in canola fields using maximum likelihood classification and deep convolutional neural network

, 2019
Muhammad Asad, Abdul Bais
openalex   +1 more source

Efficient Application of Deep Neural Networks for Identifying Small and Multiple Weed Patches Using Drone Images

IEEE Access
Deep learning (DL) based camouflage target localization, classification and detection using UAV data is currently an evolving and promising hotspot in the field of digital image processing and computer vision. Weed, an undesirable plant that hinders crop
Vyomika Singh, Dharmendra Singh, Harish Kumar   +2 more
doaj   +1 more source

Use of synthetic images for training a deep learning model for weed detection and biomass estimation in cotton. [PDF]

Sci Rep, 2022
Sapkota BB, Popescu S, Rajan N, Leon RG, Reberg-Horton C, Mirsky S, Bagavathiannan MV.   +6 more
europepmc   +1 more source

DEEP CONVOLUTIONAL NEURAL NETWORKS FOR WEED DETECTION IN AGRICULTURAL CROPS USING OPTICAL AERIAL IMAGES [PDF]

, 2020
William Ramirez, Pedro Achanccaray, Leonardo Mendoza, Marco Aurélio C. Pacheco   +3 more
openalex   +1 more source

RVDR-YOLOv8: A Weed Target Detection Model Based on Improved YOLOv8 [PDF]

Yuanming Ding, Chen Jiang, Lin Song, Fei Liu, Yunrui Tao   +4 more
openalex   +1 more source