Prediction by Soft Computing, Planning, and Strategy Building of Aquatic Catch: Chilika Lagoon, Odisha, India

Introduction: The Chilika lagoon in south Odisha, India was ecologically degraded from 1985 onwards by reduction of its aquatic (fish + prawn shrimp) catches along with salinity, hydraulic regime, water exchange, weeds invasion, and sediment influx. catch 8669MT year 1985-1986 gradually reduced to 1274MT during 1995-1996 Odisha Fisheries Dept. records which resulted poor economic condition ≈0,2million fishermen they migrated adopt other livelihood. One direct tidal inlet dredged (Sipakuda) Naraj barrage the apex South Mahanadi Delta were major interventions made regain regime. After interventions, eco system restored, surged but it insufficient livelihood sustenance for community Chilika, so that are forced alternate occupation migration.
 Methodologies: Fish data collected 30 years soft computing models linear regression, Multi Linear Perception (ANN), SMOorg (SVM) Random Forest algorithms (Weka Software) used predict fish coming decade 2020 2030. effects analyzed method shrimp prediction has been attempted first time except some statistical approaches.
 Results: is found be preferred algorithm followed MLP model. amount remained around 12-13TMT if variables present status maintained. combined effect Sipakuda Tidal effective operation have maintained sustainable aqua catch. study shall an immense help lake users policy makers augment catch, fishers lagoon.