Weed Classification Based on Statistical Features from Gabor Transform Magnitude
Author:
Funder
Universiti Kebangsaan Malaysia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9681917/9681918/09681930.pdf?arnumber=9681930
Reference23 articles.
1. Weed detection system using support vector machine
2. Weed Detection utilizing Quadratic Polynomial and ROI Techniques
3. Gradient Field Distribution and Grey Level Co-occurrence Matrix techniques for automatic weed classification
4. Analysis of Spectral Bands and Spatial Resolutions for Weed Classification Via Deep Convolutional Neural Network
5. Automatic Segmentation of Crop/Background Based on Luminance Partition Correction and Adaptive Threshold
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1. A comprehensive survey on weed and crop classification using machine learning and deep learning;Artificial Intelligence in Agriculture;2024-09
2. Deep Learning-Based Weed–Crop Recognition for Smart Agricultural Equipment: A Review;Agronomy;2024-02-11
3. An efficient deep learning with a big data-based cotton plant monitoring system;International Journal of Information Technology;2023-10-13
4. Directional Shape Feature Extraction Using Modified Line Filter Technique for Weed Classification;International Journal of Electrical and Electronics Research;2022-09-30
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