Criticality in FitzHugh-Nagumo oscillator ensembles: Design, robustness, and spatial invariance
Reservoir computing is an efficient and flexible framework for decision-making, control, and
signal processing. It uses a network of interacting components varying from abstract …
signal processing. It uses a network of interacting components varying from abstract …
Identification of dry bean varieties based on multiple attributes using catboost machine learning algorithm
S Krishnan, SK Aruna, K Kanagarathinam… - Scientific …, 2023 - Wiley Online Library
Dry beans are the most widely grown edible legume crop worldwide, with high genetic
diversity. Crop production is strongly influenced by seed quality. So, seed classification is …
diversity. Crop production is strongly influenced by seed quality. So, seed classification is …
Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network
Agricultural product quality assessment is crucial for determining marketability and
managing waste. It helps ensure that products meet industry standards and consumer …
managing waste. It helps ensure that products meet industry standards and consumer …
Performance analysis of feature selection algorithms in the classification of dry beans using KNN and neural networks
MV Subbarao, JTS Sindhu… - … Computing and Data …, 2023 - ieeexplore.ieee.org
Post-harvest industrial operations are crucial to the preservation of the economic value of an
agriculture product. For dry bean separation and classification to be more efficient, new …
agriculture product. For dry bean separation and classification to be more efficient, new …
Performance of vision transformer and swin transformer models for lemon quality classification in fruit juice factories
Assessing the quality of agricultural products holds vital significance in enhancing
production efficiency and market viability. The adoption of artificial intelligence (AI) has …
production efficiency and market viability. The adoption of artificial intelligence (AI) has …
Benchmarking the Effectiveness of Classification Algorithms and SVM Kernels for Dry Beans
Plant breeders and agricultural researchers can increase crop productivity by identifying
desirable features, disease resistance, and nutritional content by analysing the Dry Bean …
desirable features, disease resistance, and nutritional content by analysing the Dry Bean …
Achieving High Accuracy in Lemon Quality Classification: A Comparative Study of Deep Learning and Transformer Models
Agricultural product quality assessment is important for the efficiency and marketability of
production. Quality assessment improves industry standards, increasing sales and reducing …
production. Quality assessment improves industry standards, increasing sales and reducing …
Multivariate classification of dry beans using pipelined dimensionality reduction technique
G Shobana, SN Bushra, KU Maheswari… - … and Smart Electrical …, 2022 - ieeexplore.ieee.org
Machine learning methods have been employed frequently in the agricultural sector for
crops analysis. These artificial intelligence-based models facilitate the understanding about …
crops analysis. These artificial intelligence-based models facilitate the understanding about …
Dry Bean Classification using Deep Learning
M Karthikeyan, R Rengaraj… - … Conference on Data …, 2023 - ieeexplore.ieee.org
One of the largest consuming food products in the world is the pulse. Presence of vitamins
and protein content makes dry beans in improving the health. Production of dry beans …
and protein content makes dry beans in improving the health. Production of dry beans …
Leveraging Ensemble Learning for Dry Beans Classification
M Jahanzaib, Q Zaheer, AU Rehman… - … on Engineering & …, 2024 - ieeexplore.ieee.org
For dietary and commercial purposes, dry beans are significant. Dry beans offer many
advantages, such as energy and protein. It is crucial to the fight against malnutrition and …
advantages, such as energy and protein. It is crucial to the fight against malnutrition and …