IoT & AI based system for fish farming: case study of Benin
BE Agossou, T Toshiro - Proceedings of the Conference on Information …, 2021 - dl.acm.org
Agriculture including aquaculture has been changing through multiple technological
transformations in recent years. The Internet of Things (IoT) and Artificial Intelligence (AI) are …
transformations in recent years. The Internet of Things (IoT) and Artificial Intelligence (AI) are …
Classification of freshwater fish diseases in Bangladesh using a novel ensemble deep learning model: Enhancing accuracy and interpretability
Effective disease management and mitigation strategies for fish diseases depend on timely
and accurate diagnosis. In recent years, artificial intelligence methods—classification …
and accurate diagnosis. In recent years, artificial intelligence methods—classification …
HRFSVM: Identification of fish disease using hybrid Random Forest and Support Vector Machine
G Jhansi, K Sujatha - Environmental Monitoring and Assessment, 2023 - Springer
Aquaculture fish diseases pose a serious threat to the security of food supplies. Fish species
vary widely, and because they resemble one another so much, it is challenging to …
vary widely, and because they resemble one another so much, it is challenging to …
[HTML][HTML] Artificial Intelligence of Things (AIoT) Advances in Aquaculture: A Review
The integration of artificial intelligence (AI) and the internet of things (IoT), known as artificial
intelligence of things (AIoT), is driving significant advancements in the aquaculture industry …
intelligence of things (AIoT), is driving significant advancements in the aquaculture industry …
HYBRID-CNN: For Identification of Rohu Fish Disease
In the last few years, computer vision has become significantly more adept at identifying
image features. However, it is still challenging to classify fish automatically based on …
image features. However, it is still challenging to classify fish automatically based on …
AI & IoT based control and traceable aquaculture with secured data using blockchain technology
VP Premkkumar, C Gayathri… - … on Electronics and …, 2023 - ieeexplore.ieee.org
The fish industry is currently thriving on the market. Their farmers are in need of increasing
fish production. Fish are grown in contaminated lakes, ponds, and tanks. This environment …
fish production. Fish are grown in contaminated lakes, ponds, and tanks. This environment …
An Enhanced Machine Learning Technique with a Hybrid Metaheuristic Algorithm to Identify the Fish Disease
G Jhansi, K Sujatha - Wireless Personal Communications, 2023 - Springer
Fish diseases in aquaculture pose a significant threat to nutrient security and the fishing
industry's income. However, identifying infectious fish can be challenging due to the lack of …
industry's income. However, identifying infectious fish can be challenging due to the lack of …
Flatfish Disease Detection Based on Part Segmentation Approach and Disease Image Generation
The flatfish is a major farmed species consumed globally in large quantities. However, due
to the densely populated farming environment, flatfish are susceptible to injuries and …
to the densely populated farming environment, flatfish are susceptible to injuries and …
A novel feature extractor based on the modified approach of histogram of oriented gradient
In image processing, the goal of feature extraction is to extract a set of effective features from
the raw data. Feature extraction starts from an initial set of measured data and builds derived …
the raw data. Feature extraction starts from an initial set of measured data and builds derived …
Harnessing IT Tools for Health Management in Fisheries and Aquaculture
RB Rathinam, SG Amulya, Y Shrivastava… - … Technology in Fisheries …, 2025 - Springer
The sustainable growth of aquaculture depends on maintaining the optimal health of aquatic
animals. Several challenges, including diseases, environmental stressors, and management …
animals. Several challenges, including diseases, environmental stressors, and management …