Mango Fruit Load Estimation Using a Video Based MangoYOLO—Kalman Filter—Hungarian Algorithm Method
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Mango Fruit Load Estimation Using a Video Based MangoYOLO—Kalman Filter—Hungarian Algorithm Method
Authors
Keywords
-
Journal
SENSORS
Volume 19, Issue 12, Pages 2742
Publisher
MDPI AG
Online
2019-06-19
DOI
10.3390/s19122742
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of ‘MangoYOLO’
- (2019) A. Koirala et al. PRECISION AGRICULTURE
- Deep learning – Method overview and review of use for fruit detection and yield estimation
- (2019) Anand Koirala et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Machine vision assessment of mango orchard flowering
- (2018) Zhenglin Wang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Estimation of fruit load in mango orchards: tree sampling considerations and use of machine vision and satellite imagery
- (2018) N. T. Anderson et al. PRECISION AGRICULTURE
- Can the productivity of mango orchards be increased by using high-density plantings?
- (2017) Christopher M. Menzel et al. SCIENTIA HORTICULTURAE
- Using Worldview Satellite Imagery to Map Yield in Avocado (Persea americana): A Case Study in Bundaberg, Australia
- (2017) Andrew Robson et al. Remote Sensing
- Machine vision for counting fruit on mango tree canopies
- (2016) W. S. Qureshi et al. PRECISION AGRICULTURE
- Image Based Mango Fruit Detection, Localisation and Yield Estimation Using Multiple View Geometry
- (2016) Madeleine Stein et al. SENSORS
- DeepFruits: A Fruit Detection System Using Deep Neural Networks
- (2016) Inkyu Sa et al. SENSORS
- High-Speed Tracking with Kernelized Correlation Filters
- (2015) Joao F. Henriques et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Estimating mango crop yield using image analysis using fruit at ‘stone hardening’ stage and night time imaging
- (2013) A. Payne et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Estimation of mango crop yield using image analysis – Segmentation method
- (2012) A.B. Payne et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Using colour features of cv. ‘Gala’ apple fruits in an orchard in image processing to predict yield
- (2012) Rong Zhou et al. PRECISION AGRICULTURE
- Green citrus detection using ‘eigenfruit’, color and circular Gabor texture features under natural outdoor conditions
- (2011) Ferhat Kurtulmus et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Determination of the number of green apples in RGB images recorded in orchards
- (2011) Raphael Linker et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started