Recent advancements in deep learning frameworks for precision fish farming opportunities, challenges, and applications
The growth of the fish is influenced by a variety of scientific factors. So, profit can be easily
achieved by using some clever techniques, for example, maintaining the correct pH level …
achieved by using some clever techniques, for example, maintaining the correct pH level …
Monitoring water quality metrics of ponds with IoT sensors and machine learning to predict fish species survival
Aquaculture involves cultivating various marine and freshwater aquatic creatures within
regulated environments. Monitoring the aquatic environmental conditions in real-time is …
regulated environments. Monitoring the aquatic environmental conditions in real-time is …
[HTML][HTML] Accuracy assessment of RFerns, NB, SVM, and kNN machine learning classifiers in aquaculture
Background Fish diseases are the primary cause of decreased productivity and financial
losses in fish farms. Detecting and monitoring fish disease using human eye is a time …
losses in fish farms. Detecting and monitoring fish disease using human eye is a time …
Evaluation of pollutant removal efficiency of urban stormwater wet ponds and the application of machine learning algorithms
Wet ponds have been extensively used for controlling stormwater pollutants, such as
sediment and nutrients, in urban watersheds. The removal of pollutants relies on a …
sediment and nutrients, in urban watersheds. The removal of pollutants relies on a …
[HTML][HTML] Evaluation of disease outbreak in terms of physico-chemical characteristics and heavy metal load of water in a fish farm with machine learning techniques
Diseases are quite common in fish farms because of changes in physico-chemical
characteristics in the aquatic environment, and operational concerns, ie, overstocking and …
characteristics in the aquatic environment, and operational concerns, ie, overstocking and …
Sports performance prediction based on chaos theory and machine learning
W Sun - Wireless Communications and Mobile Computing, 2022 - Wiley Online Library
In order to combine chaos theory and machine learning technology to predict sports
performance, a research on sports performance prediction based on chaos theory and …
performance, a research on sports performance prediction based on chaos theory and …
Using machine learning technique for disease outbreak prediction in rainbow trout (Oncorhynchus mykiss) farms
Water quality parameters such as temperature, dissolved oxygen, pH and total dissolved
solids are important environmental factors affecting fish welfare. The deterioration of these …
solids are important environmental factors affecting fish welfare. The deterioration of these …
Construction of 3D maps of vegetation indices retrieved from UAV multispectral imagery in forested areas
J Villacrés, FAA Cheein - Biosystems Engineering, 2022 - Elsevier
Highlights•A sensitivity analysis was performed to find a vegetation index
threshold.•Vegetation indices and geometric soil filtering improves point cloud …
threshold.•Vegetation indices and geometric soil filtering improves point cloud …
Water quality prediction for salmon fish using gated recurrent unit (GRU) model
PG Arepalli, M Akula, RS Kalli, A Kolli… - 2022 Second …, 2022 - ieeexplore.ieee.org
Predicting the quality of water is essential for fish growth and survival. Mainly, yield of
aquaculture is depending onthe water conditions. The physical, chemical, and biological …
aquaculture is depending onthe water conditions. The physical, chemical, and biological …
Water quality management in aquaculture
The aquaculture industry requires good water quality for its successful operation but
produces wastes that can cause environmental deterioration and pose high risks to the …
produces wastes that can cause environmental deterioration and pose high risks to the …