[HTML][HTML] Advancements, limitations and challenges in hyperspectral imaging for comprehensive assessment of wheat quality: An up-to-date review

Y Wang, X Ou, HJ He, M Kamruzzaman - Food Chemistry: X, 2024 - Elsevier
The potential of hyperspectral imaging technology (HIT) for the determination of
physicochemical and nutritional components, evaluation of fungal/mycotoxins …

[HTML][HTML] Non-Destructive Seed Viability Assessment via Multispectral Imaging and Stacking Ensemble Learning

YR Chu, MS Jo, GE Kim, CH Park, DJ Lee, SH Che… - Agriculture, 2024 - mdpi.com
The tetrazolium (TZ) test is a reliable but destructive method for identifying viable seeds. In
this study, a non-destructive seed viability analysis method for Allium ulleungense was …

Cotton seed cultivar identification based on the fusion of spectral and textural features

X Liu, P Guo, Q Xu, W Du - Plos one, 2024 - journals.plos.org
The mixing of cotton seeds of different cultivars and qualities can lead to differences in
growth conditions and make field management difficult. In particular, except for yield loss, it …

种蛋受精与性别信息无损检测技术与装备研究进展

刘成康, 刘勇, 王巧华, 刘世伟, 李世军, 祝志慧 - 农业机械学报, 2024 - aeeisp.com
种蛋受精及性别鉴别关系到家禽孵化, 养殖的经济效益和动物福利伦理等,
种蛋受精与性别信息的检测是禽, 蛋产业发展的难题, 特别是种蛋性别的无损鉴定是世界难题 …

Nondestructive Identification of Wheat Species using Deep Convolutional Networks with Oversampling Strategies on Near-Infrared Hyperspectral Imagery

N Tyagi, S Porwal, P Singh, B Raman… - Journal of Nondestructive …, 2025 - Springer
Differentiating between wheat species poses a significant challenge to the Indian grain
industry. Visual inspection of wheat species has drawbacks, including inconsistency, low …

Mango varietal discrimination using hyperspectral imaging and machine learning

W Castro, B Tene, J Castro, A Guivin, N Ruesta… - Neural Computing and …, 2024 - Springer
Mango is a highly diverse tropical fruit with numerous varieties that differ in flavor, texture,
and chemical composition. Consequently, identifying fraudulent substitutions of mango …

Classification of Hard and Soft Wheat Species Using Hyperspectral Imaging and Machine Learning Models

N Tyagi, B Raman, N Garg - International Conference on Neural …, 2023 - Springer
Ensuring the identification and authenticity of wheat seeds are critical tasks in the food grain
industry. In this work, twenty wheat varieties were collected from three different locations in …

Integrating NIR Hyperspectral Techniques with Neural Network for Barley Seeds Classification

A Kumar, S Mahajan - … on Smart Systems for applications in …, 2024 - ieeexplore.ieee.org
Nondestructive identification of seed varieties from different origins is crucial in optimizing
crop improvement, plant growth, and advancement in breeding methods. Evaluating varietal …

Classifying Sunn Pest Damaged and Healthy Wheat Grains Across Different Species with YOLOV8 and Vision Transformers

M Çolak, Ö Özkan, NP Akman, A Berkol… - Journal of Advanced …, 2024 - dergipark.org.tr
Sunn pest damage is one of the most crucial types of agricultural damage. Authorities and
farmers are working together to find a cost-effective solution for separating the damaged …

Validating the Quality of Plant Samples Using Hyper Spectral Image Analysis

PK Singh, T Thiruvenkadam… - … Computing and Wireless …, 2024 - ieeexplore.ieee.org
Hyper-spectral imaging techniques are getting increasingly popular for the fast and accurate
evaluation of plant samples to validate their fine. Those strategies offer an efficient manner …