[HTML][HTML] Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review

D Saha, A Manickavasagan - Current Research in Food Science, 2021 - Elsevier
Non-destructive testing techniques have gained importance in monitoring food quality over
the years. Hyperspectral imaging is one of the important non-destructive quality testing …

Advances in optical phenotyping of cereal crops

D Sun, K Robbins, N Morales, Q Shu, H Cen - Trends in plant science, 2022 - cell.com
Optical sensors and sensing-based phenotyping techniques have become mainstream
approaches in high-throughput phenotyping for improving trait selection and genetic gains …

Development of paddy rice seed classification process using machine learning techniques for automatic grading machine

K Kiratiratanapruk, P Temniranrat… - Journal of …, 2020 - Wiley Online Library
To increase productivity in agricultural production, speed, and accuracy is the key
requirement for long‐term economic growth, competitiveness, and sustainability. Traditional …

Varietal classification of rice seeds using RGB and hyperspectral images

SD Fabiyi, H Vu, C Tachtatzis, P Murray, D Harle… - IEEE …, 2020 - ieeexplore.ieee.org
Inspection of rice seeds is a crucial task for plant nurseries and farmers since it ensures
seed quality when growing seedlings. Conventionally, this process is performed by expert …

[HTML][HTML] Artificial intelligence-based techniques for adulteration and defect detections in food and agricultural industry: A review

S Othman, NR Mavani, MA Hussain… - Journal of Agriculture …, 2023 - Elsevier
Artificial Intelligence (AI) techniques have evolved into practical, fast and effective tools in
combination with detecting devices for quality assessment, particularly in adulteration and …

Hyperspectral technique combined with stacking and blending ensemble learning method for detection of cadmium content in oilseed rape leaves

J Cheng, J Sun, K Yao, M Xu… - Journal of the Science …, 2023 - Wiley Online Library
Background Oilseed rape, as one of the most important oil crops, is an important source of
vegetable oil and protein for mankind. As a non‐essential element for plant growth, heavy …

Rice seed classification by hyperspectral imaging system: A real-world dataset and a credible algorithm

Y Ge, S Song, S Yu, X Zhang, X Li - Computers and Electronics in …, 2024 - Elsevier
Rice is one of the three major crops in the world. The hyperspectral identification of rice
seeds is of great significance to the development of agriculture and hence has made …

Rice classification using spatio-spectral deep convolutional neural network

I Chatnuntawech, K Tantisantisom… - arXiv preprint arXiv …, 2018 - arxiv.org
Rice has been one of the staple foods that contribute significantly to human food supplies.
Numerous rice varieties have been cultivated, imported, and exported worldwide. Different …

Age classification of rice seeds in japan using gradient-boosting and anfis algorithms

N Rathnayake, A Miyazaki, TL Dang, Y Hoshino - Sensors, 2023 - mdpi.com
The rapidly changing climate affects an extensive spectrum of human-centered
environments. The food industry is one of the affected industries due to rapid climate …

Crop Seeds Classification Using Traditional Machine Learning and Deep Learning Techniques: A Comprehensive Survey

V Kumar, PSS Aydav, S Minz - SN Computer Science, 2024 - Springer
Seed quality is a critical factor in agricultural production, and variety purity is a crucial
measure of seed quality. Ensuring seed quality is essential for optimizing crop yields and …