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WEED: 作品数：179被引量：295H指数：8; 导出分析报告; 相关领域：农业科学更多>>; 相关作者：陆兆华孙晓玉桑卫国张志能刘维涛更多>>; 相关机构：中国农业大学广州久邦世纪科技有限公司深圳市宝诚化工实业有限公司星威国际家居有限公司更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家教育部博士点基金高等学校学科创新引智计划国家重点基础研究发展计划更多>>

Exploration of the Seaweed Resources in Nigeria: A Case Study of Lagos Coastal Waters: 《Open Journal of Marine Science》2025年第1期13-34,共22页Esther U. Kadiene Daniel Oluwaleke Biaoku Dunsin Abimbola Bolaji Simon Ekele Edike Kaine Adewunmi Adeyemi Oluwatobi Olaolu Akerele; This study provides an in-depth exploration of seaweed biodiversity in Nigeria’s coastal waters, a largely unexplored area for marine resources. There is a dearth of sufficient data on seaweed biodiversity in Nigeria...; 关键词：Seaweed Biodiversity Lagos Coastal Waters Marine Ecology MACROALGAE Blue Economy AQUACULTURE

Expanding Viral Diversity in Rice Fields by Next-Generation Sequencing: 《Rice science》2025年第1期44-51,I0024-I0040,共25页WANG Haoran CHEN Guoqing FENG Guozhong; supported by the National Natural Science Foundation of China(Grant Nos.31972983 and 32072487);the Key Technology R&D Program of Zhejiang Province,China(Grant No.2021C02006);the Zhejiang Provincial Natural Science Foundation of China(Grant No.LY23C140001).; In rice fields,rice plants usually grow alongside wild weeds and are attacked by various invertebrate species.Viruses are abundant in plants and invertebrates,playing crucial ecological roles in controlling microbial ...; 关键词：next-generation sequencing virus rice plant invertebrate species wild weed ECOSYSTEM viral transmission

Landrace introgression contributed to the recent feralization of weedy rice in East China: 《Plant Communications》2024年第11期1-5,共5页Min Zhu Kaicheng Yong Kai Xu Jia Cong Xiaofang Zhou Keyue Liu Xuechen Wang Longjiang Fan Kenneth MOlsen Xuehui Huang Xiaoyi Zhou Jie Qiu; National Natural Science Foundation of China(32170638 to J.Q.);Shanghai Science and Technology Committee Rising Star Program(22QA1406800 to J.Q.);United States National Science Foundation(Plant Genome Research Program IOS-1947609 to K.M.O.).; Dear Editor,Weedy rice(Oryza spp.)is a problematic paddy weed known for traits such as high seed shattering,persistent seed dormancy in the soil seed bank,and robust competitiveness against cultivated varieties,threat...; 关键词：spp. WEED CULTIVATED

A comprehensive survey on weed and crop classification using machine learning and deep learning: 《Artificial Intelligence in Agriculture》2024年第3期45-63,共19页Faisal Dharma Adhinata Wahyono Raden Sumiharto; Machine learning and deep learning are subsets of Artificial Intelligence that have revolutionized object detection and classification in images or videos.This technology plays a crucial role in facilitating the trans...; 关键词：Deep learning Machine learning Precision agriculture Weed control Weed detection

Enhanced Species Diversity Unlocked by Habitat Conservation in Agricultural Landscapes: New Perspectives on Ecological Weed Management and Sustainable Intensification—Species Diversity and Habitat Conservation: 《Open Journal of Ecology》2024年第8期585-603,共19页Michael Ignatius Ferreira; The impulse to remain profitable by increasing agricultural production levels in view of the greater demand for food, provided impetus to production intensification. The aim of this review is to summarise current lite...; 关键词：Crop mosaics Field Margins HEDGEROWS Microbial Nitrogen Immobilization Semi-Natural Habitats Soil Microbes Weed Cross-Resistance Weed Seed Predation

Rice seed germination priming by salicylic acid and the emerging role of phytohormones in anaerobic germination: 《Journal of Integrative Plant Biology》2024年第8期1537-1539,共3页Yongqi He Jia Zhao Zhoufei Wang; supported by National Natural Science Foundation of China(32372156,32172052,32272157,and 32201838);the Natural Science Foundation of Guangdong Province(2023A1515012092 and 2023A1515012052)。; Direct seeding has been increasingly adopted under both rainfed and irrigated conditions due to its low cost and convenience.Not only to suppress weed germination and reduce the cost of manual weeding and/or dependenc...; 关键词：SEEDLING WEED GERMINATION

Soybean Response to Weed Residues in the Soil: 《Agricultural Sciences》2024年第8期801-811,共11页Dwayne D. Joseph Michael W. Marshall Matthew Cutulle; Soybean production systems that return plant residues to the soil surface are gaining in popularity. As these practices become more widespread, more crop and weed residues are being introduced into the upper soil prof...; 关键词：Reduced Tillage Plant Residues ALLELOPATHY Glycine max L.

An Improved UNet Lightweight Network for Semantic Segmentation of Weed Images in Corn Fields: 《Computers, Materials & Continua》2024年第6期4413-4431,共19页Yu Zuo Wenwen Li; In cornfields,factors such as the similarity between corn seedlings and weeds and the blurring of plant edge details pose challenges to corn and weed segmentation.In addition,remote areas such as farmland are usually ...; 关键词：Semantic segmentation deep learning UNet pyramid pooling module

Channel Attention GAN-Based Synthetic Weed Generation for Precise Weed Identification: 《Plant Phenomics》2024年第2期257-268,共12页Tang Li Motoaki Asai Yoichiro Kato Yuya Fukano Wei Guo; partially supported by Japan Society for the Promotion of Science for a Grant-in-Aid for Scientific Research(18KT0087);Google Cloud Research Credits program.; Weed is a major biological factor causing declines in crop yield.However,widespread herbicide application and indiscriminate weeding with soil disturbance are of great concern because of their environmental impacts.Si...; 关键词：identification ATTENTION generation CHANNEL GAN-BASED PRECISE SYNTHETIC WEED

Deep learning for broadleaf weed seedlings classification incorporating data variability and model flexibility across two contrasting environments: 《Artificial Intelligence in Agriculture》2024年第2期29-43,共15页Lorenzo León Cristóbal Campos Juan Hirzel; part of the“New elements of integrated weed management in the south-central zone of Chile”,project 502602-70,financed by the Ministry of Agriculture of Chile.; The increasing deployment of deep learning models for distinguishing weeds and crops has witnessed notable strides in agricultural scenarios.However,a conspicuous gap endures in the literature concerning the training ...; 关键词：Artificial neural networks Deep learning Transfer learning Precision farming Feature extraction Finetuning GENERALIZATION Out-of-domain distribution Domain adaptation Multi-domain learning

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