[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 …
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 …
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 …
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 …
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
Differentiating between wheat species poses a significant challenge to the Indian grain
industry. Visual inspection of wheat species has drawbacks, including inconsistency, low …
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 …
and chemical composition. Consequently, identifying fraudulent substitutions of mango …
Classification of Hard and Soft Wheat Species Using Hyperspectral Imaging and Machine Learning Models
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 …
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 …
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
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 …
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 …
evaluation of plant samples to validate their fine. Those strategies offer an efficient manner …