Potential of Artificial Neural Networks in Varietal Identification using Morphometry of Wheat Grains-Reference-Cited by-同舟云学术

Potential of Artificial Neural Networks in Varietal Identification using Morphometry of Wheat Grains

Published:2006-09 Issue:1 Volume:95 Page:61-67
ISSN:1537-5110
Container-title:Biosystems Engineering
language:en
Short-container-title:Biosystems Engineering

Author:

Dubey B.P.,Bhagwat S.G.,Shouche S.P.,Sainis J.K.

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science,Food Science,Control and Systems Engineering

Reference19 articles.

1. Grain morphometric characterization of genetically related wheat selections using image analysis;Bhagwat;Cereal Research Communications,2003

2. Gonzalez R C; Woods R E (1993). Representation and Description In Digital Image Processing, pp 643–675. Pearson Education (Sigapore) Pvt. Ltd., Wesley Publishing Company, New York.

3. Visual pattern recognition by moment invariant;Hu;IRE Transactions of Information Theory,1962

4. Moment representation;Jain,1995

5. Measurement of linseed (Linum usitatisimum L;Keefe;) seed character for distinctness, uniformity and stability testing using image analysis. Plant Variety and Seeds,1999

Cited by 75 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning with analysis-of-variance-based method for identifying rice varieties;Journal of Agriculture and Food Research;2024-12

2. Detection and Classification of Cannabis Seeds Using RetinaNet and Faster R-CNN;Seeds;2024-08-28

3. Identification of the cultivars of the wheat crop from their seed images using deep learning: convolutional neural networks;Genetic Resources and Crop Evolution;2024-06-24

4. Wheat crop classification using deep learning;Multimedia Tools and Applications;2024-03-14

5. Varietal Identification of Cereal Grains: Review;Current Nutrition & Food Science;2024-03