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Prediction of Fish Production in Tamil Nadu Reservoirs Using Artificial Neural Network (ANN) International Journal of Advanced Research and Communication Engineering

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Title Prediction of Fish Production in Tamil Nadu Reservoirs Using Artificial Neural Network (ANN) International Journal of Advanced Research and Communication Engineering
Not Available
 
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.
Not Available
 
Date 2021-11-15T04:53:48Z
2021-11-15T04:53:48Z
2021-02-01
 
Type Research Paper
 
Identifier Not Available
2278-1021
http://krishi.icar.gov.in/jspui/handle/123456789/67322
 
Language English
 
Relation Not Available;
 
Publisher International Journal of Advanced Research in Computer and Communication Engineering