An Optimized Classification Model for Coffea Liberica Disease using Deep Convolutional Neural Networks

FJP Montalbo, AA Hernandez - 2020 16th IEEE International …, 2020 - ieeexplore.ieee.org
The Philippines gave coffee a unique identity and taste in the form of Barako coffee, a
variant that came from the species of Coffea liberica. However, the crop yielded faces a …

Carp-DCAE: Deep convolutional autoencoder for carp fish classification

A Banerjee, A Das, S Behra, D Bhattacharjee… - … and Electronics in …, 2022 - Elsevier
The fisheries industry relies heavily on automatic fish species identification for its socio-
economic well-being. Due to the similarity in shape and size of the major carps, it can be …

Deep convolutional neural network-based system for fish classification

A Al Smadi, A Mehmood, A Abugabah… - … Journal of Electrical …, 2022 - zuscholars.zu.ac.ae
In computer vision, image classification is one of the potential image processing tasks.
Nowadays, fish classification is a wide considered issue within the areas of machine …

[HTML][HTML] An advanced Bangladeshi local fish classification system based on the combination of deep learning and the internet of things (IoT)

MA Ahmed, MS Hossain, W Rahman, AH Uddin… - Journal of Agriculture …, 2023 - Elsevier
Fish classification leads to the automated machine-based fish separation system. In terms of
classification and real-time data monitoring, deep learning and the Internet of Things (IoT) …

[PDF][PDF] Classifying Barako coffee leaf diseases using deep convolutional models

FJP Montalbo, AA Hernandez - International Journal of Advances in …, 2020 - core.ac.uk
The coffee industry made immense global contributions to society, placing as the second
most traded commodity next to crude oil worldwide. With an estimated amount of 15 billion …

IsVoNet8: a proposed deep learning model for classification of some fish species

V Kaya, İ Akgül, ÖZ Tanır - Journal of Agricultural Sciences, 2023 - dergipark.org.tr
In the classification of fish, both knowledge and great effort are required to determine the
characteristics of fish. Traditionally, however, manual classification of extrinsic …

Snake species identification and recognition

M Vasmatkar, I Zare, P Kumbla… - 2020 IEEE Bombay …, 2020 - ieeexplore.ieee.org
Snake Species Identification is a challenge as erroneous snake identification from the
perceptible traits is a prime reason of death because of snake bites. The main objective of …

[PDF][PDF] Local freshwater fish recognition using different cnn architectures with transfer learning

A Majumder, A Rajbongshi, MM Rahman… - Int. J. Adv. Sci. Eng. Inf …, 2021 - academia.edu
Bangladesh has its profusion of water resources, but due to environmental issues and some
other significant causes, the quantity of water resources is lessening continuously. As a …

Novel modified convolutional neural network and FFA algorithm for fish species classification

P Prasenan, CD Suriyakala - Journal of Combinatorial Optimization, 2023 - Springer
Biologists and marine ecologists' vital task is to classify fish species regularly to assess the
relative profusion of fish species in their native environments and track population …

Developing a classification CNN model to classify different types of fish

F Ahmed, B Basak, S Chakraborty, T Karmokar… - … on Intelligent Computing …, 2022 - Springer
Identifying any fish type can be difficult for people who are not familiar with fish.
Implementation of a fish classification machine learning model can become helpful in this …