Automated image identification, detection and fruit counting of top-view pineapple crown using machine learning

Automated image identification, detection and fruit counting of top-view pineapple crown using machine learning

Automated fruit identification or recognition using image processing is a key element in precision agriculture for performing object detection in large crop plots. Automation of fruit recognition for the captured top-view of RGB based images using an unmanned aerial vehicle (UAV) is a challenge. Ima...

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Bibliographic Details
Main Authors: Megat Syahirul Amin, M.A (Author), Muhammad Asraf, H. (Author), Nur Dalila, K.A (Author), Wan Nurazwin Syazwani, R. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Series:Alexandria Engineering Journal
Subjects:
Analysis of variance (ANOVA)
Antennas
Automation
Crop recognition
Crops
Decision trees
Fruits
Image processing
Image-analysis
Images processing
Learning classifiers
Machine-learning
Neural networks
Object detection
Performance
Pineapple crown
Precision agriculture
Precision Agriculture
Support vector machines
Textures
Top views
Unmanned aerial vehicles (UAV)
Yield counting
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