Early real-time detection algorithm of tomato diseases and pests in the natural environment
出版年份 2021 全文链接
标题
Early real-time detection algorithm of tomato diseases and pests in the natural environment
作者
关键词
-
出版物
Plant Methods
Volume 17, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-04-23
DOI
10.1186/s13007-021-00745-2
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- An optimization model for combined selecting, planting and harvesting sugarcane varieties
- (2020) Helenice de O. Florentino et al. ANNALS OF OPERATIONS RESEARCH
- YOLO-Tomato: A Robust Algorithm for Tomato Detection Based on YOLOv3
- (2020) Guoxu Liu et al. SENSORS
- Transfer Learning-Based Framework for Classification of Pest in Tomato Plants
- (2020) Gayatri Pattnaik et al. APPLIED ARTIFICIAL INTELLIGENCE
- Early recognition of tomato gray leaf spot disease based on MobileNetv2-YOLOv3 model
- (2020) Jun Liu et al. Plant Methods
- CropDeep: The Crop Vision Dataset for Deep-Learning-Based Classification and Detection in Precision Agriculture
- (2019) Yang-Yang Zheng et al. SENSORS
- Apple detection during different growth stages in orchards using the improved YOLO-V3 model
- (2019) Yunong Tian et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Solving Current Limitations of Deep Learning Based Approaches for Plant Disease Detection
- (2019) Marko Arsenovic et al. Symmetry-Basel
- An autonomous strawberry‐harvesting robot: Design, development, integration, and field evaluation
- (2019) Ya Xiong et al. Journal of Field Robotics
- AI-powered banana diseases and pest detection
- (2019) Michael Gomez Selvaraj et al. Plant Methods
- Deep Learning-Based Phenotyping System With Glocal Description of Plant Anomalies and Symptoms
- (2019) Alvaro Fuentes et al. Frontiers in Plant Science
- Evaluating performances of the first automatic system for paddy irrigation in Europe
- (2018) Daniele Masseroni et al. AGRICULTURAL WATER MANAGEMENT
- Pushing the Limits of Deep CNNs for Pedestrian Detection
- (2018) Qichang Hu et al. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
- High-Performance Deep Neural Network-Based Tomato Plant Diseases and Pests Diagnosis System With Refinement Filter Bank
- (2018) Alvaro F. Fuentes et al. Frontiers in Plant Science
- Context-aware pedestrian detection especially for small-sized instances with Deconvolution Integrated Faster RCNN (DIF R-CNN)
- (2018) Han Xie et al. APPLIED INTELLIGENCE
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Nanotitania Exposure Causes Alterations in Physiological, Nutritional and Stress Responses in Tomato (Solanum lycopersicum)
- (2017) Manish Tiwari et al. Frontiers in Plant Science
- A review on the main challenges in automatic plant disease identification based on visible range images
- (2016) Jayme Garcia Arnal Barbedo BIOSYSTEMS ENGINEERING
- Advanced methods of plant disease detection. A review
- (2014) Federico Martinelli et al. Agronomy for Sustainable Development
- Monitoring of pesticide residues in tomato marketed in Bogota, Colombia
- (2013) Luis Alejandro Arias et al. FOOD CONTROL
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