Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields
出版年份 2020 全文链接
标题
Weed Classification for Site-Specific Weed Management Using an Automated Stereo Computer-Vision Machine-Learning System in Rice Fields
作者
关键词
-
出版物
Plants-Basel
Volume 9, Issue 5, Pages 559
出版商
MDPI AG
发表日期
2020-04-29
DOI
10.3390/plants9050559
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Deep learning for image-based weed detection in turfgrass
- (2019) Jialin Yu et al. EUROPEAN JOURNAL OF AGRONOMY
- Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence
- (2019) Victor Partel et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Evaluation of support vector machine and artificial neural networks in weed detection using shape features
- (2018) Adel Bakhshipour et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A fast and accurate expert system for weed identification in potato crops using metaheuristic algorithms
- (2018) Sajad Sabzi et al. COMPUTERS IN INDUSTRY
- Using video processing to classify potato plant and three types of weed using hybrid of artificial neural network and partincle swarm algorithm
- (2018) Sajad Sabzi et al. MEASUREMENT
- Developing a Machine Vision System to Detect Weeds from Potato Plant
- (2018) Sajad SABZI et al. Tarim Bilimleri Dergisi-Journal of Agricultural Sciences
- Efficient kNN Classification With Different Numbers of Nearest Neighbors
- (2018) Shichao Zhang et al. IEEE Transactions on Neural Networks and Learning Systems
- Effect of chemical weed control on crop yields in different crop rotations in a long-term field trial
- (2018) Markéta Mayerová et al. CROP PROTECTION
- Active learning system for weed species recognition based on hyperspectral sensing
- (2016) Xanthoula-Eirini Pantazi et al. BIOSYSTEMS ENGINEERING
- Weed detection using image processing under different illumination for site-specific areas spraying
- (2016) Jing-Lei Tang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Optimal color space selection method for plant/soil segmentation in agriculture
- (2016) J.L. Hernández-Hernández et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Detecting creeping thistle in sugar beet fields using vegetation indices
- (2015) Wajahat Kazmi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Exploiting affine invariant regions and leaf edge shapes for weed detection
- (2015) Wajahat Kazmi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Changes in Weed Communities, Herbicides, Yield Levels and Effect of Weeds on Yield in Winter Cereals Based on Three Decades of Field Experiments in South-Western Germany
- (2014) M. Keller et al. Gesunde Pflanzen
- Long-term changes in weed occurrence, yield and use of herbicides in maize in south-western Germany, with implications for the determination of economic thresholds
- (2014) M Keller et al. WEED RESEARCH
- The increasing importance of herbicides in worldwide crop production
- (2013) Leonard P Gianessi PEST MANAGEMENT SCIENCE
- 3D Stereo Vision Measurements for Weed-Crop Discrimination
- (2012) M. Tilneac et al. Elektronika Ir Elektrotechnika
- Weed identification using an automated active shape matching (AASM) technique
- (2011) Kishore C. Swain et al. BIOSYSTEMS ENGINEERING
- Design and testing of an intra-row mechanical weeding machine for corn
- (2011) C. Cordill et al. BIOSYSTEMS ENGINEERING
- Towards machine vision based site-specific weed management in cereals
- (2011) T.W. Berge et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Robust Crop and Weed Segmentation under Uncontrolled Outdoor Illumination
- (2011) Hong Y. Jeon et al. SENSORS
- Corn plant sensing using real-time stereo vision
- (2009) Jian Jin et al. Journal of Field Robotics
- Mechanical within-row weed control for transplanted crops using computer vision
- (2007) N.D. Tillett et al. BIOSYSTEMS ENGINEERING
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