Results 31 to 40 of about 12,860 (253)

Weed Detection Based on the Optimized Segmentation Line of Crop and Weed [PDF]

, 2008
Weed detection is a key problem of spot spraying that could reduce the herbicide usage. Spectral information of plants is very useful to detect weeds in real-time for the fast response time. However, the cost of an imaging spectrograph-based weed detection system is too high.
Wenhua Mao, Xiaoan Hu, Xiaochao Zhang
openaire   +1 more source

Weed detection in 3D images [PDF]

Precision Agriculture, 2010
Machine vision has been successfully used for mechanical destruction of weeds between rows of crops. Knowledge of the position of the rows where crops should be growing and the assumption that plants growing outside such positions are weeds may be used in such systems.
Piron, Alexis, Van Der Heijden, F., Destain, Marie-France   +2 more
openaire   +1 more source

Weed Detection in Agricultural Fields

International Journal for Research in Applied Science and Engineering Technology, 2023
Abstract: In this world, agriculture is a vital and necessary component of human nutrition. The majority of people in the world work in agriculture. The economy's agricultural sector is important. Also, it is crucial to reduce prices while raising the calibre of agricultural output. Modern agriculture needs to be more productive in order to meet demand
Pooja V. Baravkar, Ruchira A. Dangat, Suvarna S. Kengale, Nilam V. Bhade   +3 more
openaire   +1 more source

Image Prompt Adapter-Based Stable Diffusion for Enhanced Multi-Class Weed Generation and Detection

AgriEngineering
The curation of large-scale, diverse datasets for robust weed detection is extremely time-consuming and resource-intensive in practice. Generative artificial intelligence (AI) opens up opportunities for image generation to supplement real-world image ...
Boyang Deng, Yuzhen Lu
doaj   +1 more source

Reframing Weed Detection: From Feature-Based Vision to Crop-Guided Intelligence in Precision Agriculture

Agronomy
Weeds remain one of the primary constraints on crop productivity, making accurate detection and spatial localization essential for precision weeding systems.
Yanjun Duan, Wenpeng Zhu, Shugui Ding, Mian Li, Kang Han, Xiaoyue Lai, Yuxin Liao, Fuhao Gong, Zhong Li, Maocheng Zhao, Bin Wu, Xiaojun Jin   +11 more
doaj   +1 more source

Static laser weeding system based on improved YOLOv8 and image fusion

Journal of Agricultural Engineering
Laser weeding is one of the promising weed control methods for weed management in organic agriculture. However, the complex field environments lead to low weed detection accuracy, which makes it difficult to meet the requirements of high-precision laser
Xiwang Du, Xia Li, Fangtao Duan, Jiawei Hua, Mengchao Hu   +4 more
doaj   +1 more source

Underground Signals: The Ecological Power of Root Volatiles

Advanced Science, EarlyView.
Root volatiles mediate rhizosphere chemical communication, shaping interactions among plants, microbes, herbivores, and natural enemies. Their production, transport, and perception underpin ecological adaptation, multitrophic interactions, and plant resilience, offering opportunities for sustainable crop protection, resilient agroecosystems, and ...
Xueyao Cao, Nanli Song, François Verheggen, Meritxell Pérez‐Hedo, Andrea Clavijo McCormick, Antonino Cusumano, Arthur de Fouchier, Bing Wang, Chen‐Zhu Wang, Emmanuelle Jacquin‐Joly, Gary W. Felton, Geoff M. Gurr, Hao Guo, Jiancai Li, Jin Zhang, Li Chen, Manqun Wang, Michele Ricupero, Peng Han, Peng He, Qi Yan, Qingbo Tang, Qingsong Liu, Shiheng An, Xiangbo Kong, Xiaoling Sun, Xueming Ren, Yuanyuan Song, Yang Liu, Yanhui Guo, Yunhe Li, Xiao Sun   +31 more
wiley   +1 more source

Weed Detection in Maize Fields by UAV Images Based on Crop Row Preprocessing and Improved YOLOv4

Agriculture, 2022
Effective maize and weed detection plays an important role in farmland management, which helps to improve yield and save herbicide resources. Due to their convenience and high resolution, Unmanned Aerial Vehicles (UAVs) are widely used in weed detection.
Haotian Pei, Youqiang Sun, He Huang, Wei Zhang, Jiajia Sheng, Zhiying Zhang   +5 more
doaj   +1 more source

Effective detection of weeds in sesame crop [PDF]

Network Modeling Analysis in Health Informatics and Bioinformatics
Abstract Rapid improvements in Computer vision (CV) and Deep Learning (DL) methods have enabled information extraction from images and videos to apply and interpret them for various applications. Numerous agricultural and farming applications have been using DL approaches for resolving agricultural challenges as well as optimizing ...
Ali, Nawazish, Sailunaz, Kashfia, AbuShaar, Said, Özdemir, M. Kemal, Rokne, Jon, Alhajj, Reda   +5 more
openaire   +1 more source

The Landscape of Long Non‐Coding RNAs Provides Insights Into the Domestication and Improvement of Pear Fruit

Advanced Science, EarlyView.
This study reveals that long non‐coding RNAs represent important regulatory components underlying pear domestication and improvement. Integrative multi‐omics analyses identify selected lncRNAs associated with fruit traits, while functional validation uncovers a lignin‐related lncRNA, lncRNA‐pys, that promotes lignin accumulation.
Bobo Song, Peilin Han, Jiaming Li, Xiaolong Li, Xiang Zhang, Jing Fan, Dongliang Liu, Jianfa Cai, Lingchao Zhang, Jun Wu   +9 more
wiley   +1 more source