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Item Prediction of Inland Aquaculture Ammonia Using Hybrid Intelligent Soft Computing(Springer Science and Business Media Deutschland GmbH, 2024) Thotakura, T.V.; Bala, G.; Durga Prasad, C.; Sunil, B.M.One of the crucial factors in assessing the pond's intensive inland aquaculture water quality condition is ammonia. The excessive ammonia content will likely worsen water quality and result in the mass mortality of cultured individuals. For aquaculture management, it is therefore vital to accurately identify the ammonia nitrogen level of cultured water. However, the accuracy of technology for monitoring the ammonia content of aquaculture water currently needs to be improved to satisfy the demands of intensive aquaculture. This paper presents the prediction of the ammonia concentration of aquaculture water in real time using a hybrid intelligent soft computing algorithm. Radial basis function neural networks (RBFNN) and a hybrid model combining RBFNN, and particle swarm optimization (PSO) are used in this technique. Root mean square error (RMSE) and correlation coefficient (R2) were two separate statistical metrics used to compare the two methodologies and assess how well the soft computing strategies performed. The ammonia prediction results showed that the PSO-RBFNN method outperformed the RBFNN. The PSO-RBFNN model offers a real-time ammonia prediction value in inland farming waters that is moderately and generally accurate. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.Item Multivariate Statistical Approach for Assessment of Surface Water Quality in the Intensive Inland Aquaculture Region in India(Springer Science and Business Media Deutschland GmbH, 2024) Thotakura, T.V.; Sunil, B.M.; Chaudhary, B.; Bala, G.Andhra Pradesh's western Godavari Delta region is India's primary inland aquaculture zone, with a well-developed canal network. The Venkaya-Vayyeru canal is the most important canal stream depending on aquaculture catchment. It also serves as a drinking water supply for villages, aquaculture, and irrigation. As a result, the quality of the canal's water is essential. To determine the probable location as a pollution source, this study considered eight physicochemical water quality characteristics at three distinctive places along the canal for principal component analysis (PCA). Most parameters show significant geographical variation, indicating anthropogenic influence. According to PCA findings, the principal pollution sources are aquaculture ponds, processing businesses, and urban activities. Aquaculture intensively may contaminate canal water with salinity, ammonia, and Ca2+. Aquaculture effluents, soluble salts, nutrients, and organic matter were found to be the essential parameters responsible for changes in water quality using PCA and factor analysis. The study demonstrates the usefulness of multivariate statistical methods in understanding a pattern of feature variability and devising management techniques to enhance canal water quality by identifying prevailing characteristics that cause the most degradation in the water quality. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.Item Exploring the impact of aquaculture sludge on the swell-shrink behavior of expansive clays(Elsevier Ltd, 2024) Thotakura, T.; Sunil, B.M.; Chaudhary, B.; Gobinath, R.; Bala, G.Aquaculture is practiced in many countries including India; coastal region of Andhra Pradesh is known for its intensive aquaculture farming. Sludge obtained from these farms was used to fill low-lying areas during summer. Aquaculture sludge (AS) is an organic material generated at the bottom of the aquaculture pond produced from shrimp effluents, chemical usage, unsustainable feed, minerals, and disinfectants. It is a polluting material that requires care and attention. This work aims to evaluate the effect of the mixing of aquaculture sludge on the geotechnical properties of clay subsoil. Plasticity, compaction characteristics, and one-dimensional swell consolidation tests were performed on expansive blended clays. The results of the swell-shrink behavior of expansive clays mixed with AS show a significant decrease in swelling phenomenon. Microstructural analysis of expansive clay and clay mixed with AS was carried out using scanning electron microscopy (SEM), energy dispersive spectrometry (EDS), and X-ray diffraction (XRD) tests to understand the surface textures, particle sizes, and chemical reactions. Microstructural analysis revealed the development of a crystalline structure with a C-S-H gel and CaCO3. In addition, it also shows the development of flocs and the aggregation of clay particles with AS. © 2024 The Authors