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Prediction of Fish Production in Tamil Nadu Reservoirs Using Artificial Neural Network (ANN)

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Title Prediction of Fish Production in Tamil Nadu Reservoirs Using Artificial Neural Network (ANN)
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Creator D. Karunakaran
M. Balakrishnan
 
Subject Artificial Neural Network, Inland Fisheries, Reservoir
 
Description Not Available
Fish is nutritious, cheap and healthy source of protein. Fishery sector plays a very important role for nation building by providing nutritional health security. India has very vast inland resources like rivers and canals (1,71,334 km), reservoirs (3.15 million ha), floodplain wetlands (0.24 million ha), estuaries (0.27 million ha) and ponds and tanks (2.25 million ha)[15]. Fourteen million inland farmers are getting employment and livelihood support from these resources. Among Inland resources, reservoirs are considered a main resource both in terms of surface area and offer immense scope for increasing fish production. More than 3 million ha of manmade reservoirs in the country has a potential for increase the fish production. As populations are increasing in many fold there is a greater need to obtain as much fish as possible from these resources to meet the demand. Estimation of reservoir yield is a critical component for fisheries managers to adopt suitable scientific management practices to enhance the fishery production in these resources.
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Date 2024-02-15T16:58:22Z
2024-02-15T16:58:22Z
2021-02-02
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/81378
 
Language English
 
Relation Not Available;
 
Publisher Not Available