[HTML][HTML] Comparative Analysis of Visible and Near-Infrared (Vis-NIR) Spectroscopy and Prediction of Moisture Ratio Using Machine Learning Algorithms for Jujube …

S Günaydın, N Çetin, C Sağlam, K Sacilik… - Applied Food …, 2025 - Elsevier
Dried fruits are considered healthy because they are high in fiber and carbohydrates and
contain low fat. In this study, jujube slices were dried using three different methods (open …

A self-iterative learning with dual attention mechanism fusion method for pumpkin seed quality equipment

W Shi, R Zhang, K Xuan, C Wang, H Fu, L Zhao… - … Applications of Artificial …, 2024 - Elsevier
To perform fast and accurate classification of pumpkin seeds, three batches of pumpkin seed
images were taken. A self-iterative learning large kernel attention-Squeeze and Excitation …

Meta-Learning Framework for Coriander Variety Classification using CNN and DBN

R Sharma, L Dhingra - 2024 15th International Conference on …, 2024 - ieeexplore.ieee.org
The proposed study focuses on sorting three main types of coriander, called Sadhana,
Swathi, and Pant Haritima in India using smart computer methods. A big collection of very …

Empowering Indian Agriculture: Fenugreek Variety Classification through CNN and Ensemble Learning

R Sharma, J Sohal - 2024 15th International Conference on …, 2024 - ieeexplore.ieee.org
Fenugreek, an important herb, and spice in India needs to be put into different groups for
good farming supervision. This study uses Convolutional Neural Networks (CNN) and …

Diverse Pumpkin Varieties in India: A Four-Class Classification Study with CNN and Deep Belief Networks Featuring Arka Suryamukhi, Pusa Vishwas, Pusa Akshay …

R Sharma, M Grover - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
This study delves into the classification of pumpkin varieties prevalent in India, focusing on
four distinct classes: Pusa Vishwas, Pusa Akshay, and Pusa Vikas are four brave men …