Shrimp Farming Areas Research Articles

Prevalence investigation of translucent post-larvae disease (TPD) in China

In early 2020, the shrimp farming in China suffered a severe setback due to an outbreak of the translucent post-larvae disease (TPD) in Penaeus vannamei. The emerging disease was caused by a hypervirulent strain of Vibrio parahaemolyticus (VpTPD). Although some progress has been made in understanding virulence factors of VpTPD, the diversity and prevalence of TPD pathogen are still unclear. Therefore, this study was undertaken to systematically investigate the epidemiology of TPD in China. In this study, potentially pathogenic bacteria present in naturally infected shrimp samples were isolated, identified, and preserved firstly. The further investigation showed that different Vibrio species carrying the key virulence genes of VpTPD can infect post-larvae of P. vannamei and cause TPD, revealing the diversity of TPD pathogens, and the pathogenic Vibrio strains has been temporarily named as Vibrio causing TPD (VTPD). In addition, epidemiological surveillance based on TaqMan qPCR detection and histopathology techniques analysis showed that VTPD positive samples were detected in most shrimp aquaculture ponds in different shrimp aquaculture provinces of China, with prevalence rate exceeding 50% in some areas. And seawater cultured species such as P. vannamei and P. japonicus were more sensitive to VTPD and were more likely to be infected or carry it. Freshwater cultured shrimp such as Macrobrachium rosenbergii and Procambarus clarkii may not be affected by VTPD. However, shrimp bait organisms are still at risk of carrying or being infected with VTPD. The result suggests that VTPD is still prevalent and spreading in coastal shrimp farming areas in China, with a high risk of transmission. This effort of present study provided a basic epidemiological understanding as well as important technical insights for prevention and management of emerging shrimp diseases.

Isolation and characterization of the novel phage BP14 for lysing Vibrio parahaemolyticus and reducing virulence proteins

Accumulating evidence has indicated that Vibrio parahaemolyticus stains resistant to multiple drugs may pose a serious threat to public health and could lead to global economic. Phage therapy is an alternative and eco-friendly biocontrol strategy for the prevention and control of diseases in the aquatic systems. Therefore, this study was oriented to isolate and characterize the applicability of phages for V. parahaemolyticus (VP) lysis in aquaculture. Here, twenty-two lytic bacteriophages (BP1–22) were isolated from sewage collected in a local shrimp farming area and from the tissue of AHPND-infected shrimp and oysters collected in Taiwan. Among these, phage BP14 could effectively lyse V. parahaemolyticus, this bacterium causes acute hepatopancreatic necrosis disease (AHPND), resulting in severe mortality in Litopenaeus vannamei and Penaeus monodon, two marine shrimp species that are commonly grown in aquaculture farms. Characterization of the morphology of the virion particle via electron microscopy revealed that the virus belonged to the family Inoviridae, as suggested by its filamentous shape. The genome of phage BP14 was composed of 9071 bp with a 43.85% GC content and was inserted into a chromosome depending on the occurrence of Xer site-specific recombination. Furthermore, phage BP14 established a chronic productive infection, thus continuously releasing virions from infected cells. A viral load of approximately 12 plaque-forming units (PFUs) per cell was determined for phage BP14 under laboratory growth conditions. Western blotting and ELISA analyses revealed that phage BP14 decreased the levels of toxin-PirB and PirA protein by approximately 40%–60% compared to the wild-type VP. Collectively, our findings demonstrated the potential applicability of phage BP14 for the biological control of VPAHPND.

Water quality assessment to improve the ecological function of waters: the South Coast of the Yogyakarta Shrimp Farming Area

Water quality assessment to improve the ecological function of waters: the South Coast of the Yogyakarta Shrimp Farming Area

An Analysis of Land Use Options using CLUMondo Model to Promote Agricultural Restructuring in the Mekong Delta’s Coastal Area in Vietnam

Background: Climate change, socioeconomic, market demands and labor restructuring have led to the need for agricultural restructuring in coastal areas in Vietnam. This study was conducted to assess the factors affecting agricultural production and analyze land use scenarios to support the agricultural transformation in the coastal area of the Vietnamese Mekong Delta. Methods: The implementation method is based on surveying the necessary dynamic level of socioeconomic and environmental factors affecting land use; the connection between the land area optimization using linear programming and the CLUMondo. Result: The results proposed 3 scenarios to improve the efficiency of state land management for socioeconomic development and agricultural restructuring in the study area. Scenario 1 (the land-allocated results were similar to the land use map) and scenario 2 (extensive shrimp farming areas in the coastal zone will be firmly converted to intensive shrimp farming) are suitable for the district in the short term. However, Scenario 3 (the shrimp-rice area tends to convert to rice land, while agricultural land near the town will be firmly converted to non-agricultural land) is the most appropriate option when funds are available for high technology advancement.

Assessment the Impacts of Sea-Level Changes on Mangroves of Ceará-Mirim Estuary, Northeastern Brazil, during the Holocene and Anthropocene.

Predictions of the effects of modern Relative Sea-Level (RSL) rise on mangroves should be based on decadal-millennial mangrove dynamics and the particularities of each depositional environment under past RSL changes. This work identified inland and seaward mangrove migrations along the Ceará-Mirim estuary (Rio Grande do Norte, northeastern Brazil) during the mid-late Holocene and Anthropocene based on sedimentary features, palynological, and geochemical (δ13C, δ15N, C/N) data integrated with spatial-temporal analysis based on satellite images. The data indicated three phases for the mangrove development: (1°) mangrove expansion on tidal flats with estuarine organic matter between >4420 and ~2870 cal yrs BP, under the influence of the mid-Holocene sea-level highstand; (2°) mangrove contraction with an increased contribution of C3 terrestrial plants between ~2870 and ~84 cal yrs BP due to an RSL fall, and (3°) mangrove expansion onto the highest tidal flats since ~84 cal yr BP due to a relative sea-level rise. However, significant mangrove areas were converted to fish farming before 1984 CE. Spatial-temporal analysis also indicated a mangrove expansion since 1984 CE due to mangrove recolonization of shrimp farming areas previously deforested for pisciculture. This work mainly evidenced a trend of mangrove expansion due to RSL rise preceding the effects of anthropogenic emissions of CO2 in the atmosphere and the resilience of these forests in the face of anthropogenic interventions.

Environmental and disease monitoring in the northern aquaculture area

Aquaculture is facing many challenges related to diseases and environmental pollution. Environmental and disease monitoring in aquaculture is to help authorities in planning and management, and to provide technical measures to support farmers. The study was carried out from January to October 2020, including 13 sites of supply water of brackish water shrimp farming areas of Nam Dinh, Nghe An, Ha Tinh, Quang Binh, Quang Tri, and Thua Thien Hue; 11 sites of clam/mollusc farming areas of Thai Binh, Thanh Hoa, and Quang Ninh; 11 sites of cage aquaculture of Hoa Binh, Yen Bai, and Hai Duong, with 23 monitoring times of the inlet water for brackish shrimp, 7 monitoring times for tilapia and freshwater cage culture. Alkalinity, ammonia, nitrite, total Vibrio, and VpAHPND values in shrimp farming water were higher than Vietnam’s environmental standard, valued at 12.37, 25.08, 16.67, 3.68, and 0.67% respectively. Salinity, ammonia, nitrite values, and total Vibrio in the mollusc farming water were higher than Vietnam’s environmental standard, which were 23.38, 33.77, 32.50, and 3.9%, respectively. Chemical oxygen demand and nitrite in the tilapia and freshwater cage farming water were higher than Vietnam’s environmental standard, which were 29.87 and 22.08%, respectively. Timely recommendations and warnings helped farmers minimise the damage caused by environmental pollution and diseases.

Low Carbon Emission Shrimp Farming Development Model

Shrimp is a vastly strategic aquaculture commodity in Indonesia, most of which is produced for the export market; hence, competitiveness is the main key in the industry. With the increasing productivity of a shrimp farming area, the regulation for establishing a shrimp culture area needs to be strictly managed, including reducing carbon emissions. The management of aquaculture areas needs to pay attention to the principle of sustainability and consider carbon dynamics. This paper contains a descriptive analysis of the literature related to the substance of the study. The carbon dynamics in aquaculture areas consist of potential sources of carbon emitted and potential sinks or carbon that can be absorbed and stored. By structuring the shrimp pond area, aquaculture engineering, the application of good aquaculture practices and use of alternative energy sources, during the shrimp farming process in ponds, the carbon emission can be minimized, and the carbon sink can be increased. Our recommendation suggests that analysis of land suitability, environmental carrying capacity and carbon dynamics in each shrimp pond area are exceptionally required to be conducted to assess land suitability as a low carbon emission shrimp farming area. Furthermore, to increase farmers' understanding and awareness of the sustainability of the practices, pilot areas for low-emission shrimp ponds need to be developed.

Automated extraction of aquaculture ponds from Sentinel-2 seasonal imagery – A validated case study in central Thailand

The incidence and size of aquaculture ponds are related to a variety of economic, social, environmental, and policy factors, but there is scarce publicly available information. Satellite based aquaculture pond mapping has typically been undertaken by segmentation of single-date images or of temporal composites derived from image time series. In Asia, both aquaculture and rice farming can be undertaken in the same locality and, combined with frequent cloud cover, meaning that segmentations should be derived throughout the year to be able to differentiate aquaculture ponds from rice paddies and to provide spatially-complete pond mapping results. In this paper, a new approach is presented to extract individual aquaculture ponds from seasonal Sentinel-2 10 m images and to combine different sets of pond objects extracted from different images into a single set of pond objects. The approach is demonstrated for the province of Nakhon Pathom (216,800 ha) in central Thailand that is a major shrimp farming area. Aquaculture ponds were extracted from near-cloud-free Sentinel-2 images acquired in January and June 2019 to reduce confusion with rice paddies that are typically vegetation covered in these months. The ponds extracted at different times were then combined using a multi-temporal object combination strategy. Surveys undertaken in 2019 to elucidate farmers’ attitudes and land use practices were used to contextualize the extraction results. Across the province, 22,833 aquaculture ponds were extracted with a total area of 18,066 ha. The mean and median pond sizes were 0.79 ha and 0.60 ha, respectively, which is close to the 0.65 ha mean shrimp pond size in Thailand reported by other researchers via independent surveys. Current methods to map aquaculture ponds have not typically reported object-based validation results and so it is unknown whether object-level information (e.g., number of ponds and pond sizes) are reliable. Therefore, the extraction results were evaluated quantitatively using object-based accuracy metrics. A total of 1733 aquaculture ponds at three validation sites were manually digitized using multi-date GoogleEarth high-resolution images, and compared with the extracted ponds. The evaluation results indicated a robust pond extraction performance, with 87.7% object-based overall accuracy considering all the reference data and the extracted ponds at the three sites. 0.9% of the extracted ponds were over-extracted (commission error), 0.9% were under-split, 2.6% were over-split, and 6.9% of the of the reference ponds were not extracted (omission error). In addition, the mean over-segmentation error of 0.154, mean under-segmentation error of 0.111, and mean F-score (dice coefficient) of 0.858 were obtained. The causes of these errors were examined and discussed with recommended potential research using other sensor data.

WATER QUALITY STATUS OF WHITE LEG SHRIMP FARMING AREAS IN BINH DAI DISTRICT, BEN TRE PROVINCE, VIETNAM

This study focused on water quality assessment of farmed shrimp ponds in Binh Dai District, Ben Tre Province. The goals of the study were to provide chemical parameters of pond water for farmers, to identify problems and causes in farmed shrimp related to water quality and disease, and to help managers find appropriatesolutions to minimize damage to local shrimp farming. Water samples were collected monthly from January to June 2021 from 90 vannamei farmers in six different areas, including Vang Quoi Dong, Dinh Trung Binh Thoi, Phu Long, Phu Vang, and Binh Thang of Binh Dai District. Parameters investigated in this study included pH,alkalinity, NH4+, NH3, NO2- and three other minerals. Water quality parameters were analyzed based on APHA standard analysis methods. The results showed that the water quality of shrimp farming areas in Binh Dai fluctuated from time to time, and water quality parameters were suitable for vannamei shrimp farming. However, the concentration of NO2- was always higher than the permitted threshold. The results fromcluster analysis and MANOVA testing showed that water quality of the shrimp farming areas in Binh Dai was significantly different (p < 0.05), especially NO2-, Ca, Mg and alkalinity. These findings suggest that farmers must apply proper solutions for water quality management in each farming area to maximize crop production.

Solar energy research for the design and manufacturing of oxygen aerator model for shrimp farming

This project refers to the research, design, and manufacturing of an oxygen aerator prototype for shrimp farming using solar energy. An offline solar system is calculated, designed to drive a 24VDC motor that rotates the propellers to generate oxygen in shrimp ponds. This system is researched for shrimp farming areas without electricity in order to expand shrimp farming capacity for coastal areas. The system can connect to the phone via Bluetooth to transmit the model’s parameters to the user interface. An app that connects the phone to the oxygen aerator is also designed to control and monitor data. Solar-powered oxygen aerators for shrimp ponds can help farmers save 2 to 3 times the cost compared to gas and oil-powered oxygen aerators.

Use of GIS and machine learning to predict disease in shrimp farmed on the east coast of the Mekong Delta, Vietnam

Diseases in shrimp farms in the Mekong Delta of Vietnam cause significant crop losses and are therefore of great concern to producers. Once a pond becomes infected, it is difficult to prevent spread of the disease to nearby shrimp farming areas. Thus, predicting the occurrence of disease is an essential part of reducing the risk for shrimp farmers. In this study, we applied an integrated geographic information system and machine learning system to predict three serious diseases of shrimp, namely, acute hepatopancreatic necrosis, white spot syndrome disease, and Enterocytozoon hepatopenaei infection, based on data collected from shrimp farms in the Tra Vinh, Bac Lieu, Soc Trang, and Ca Mau provinces of Vietnam. We first constructed a map showing the distribution of these diseases using the locations of affected farms, and then we conducted spatial analysis to acquire the geographical features of the affected locations. This latter information was combined with environmental factors and clinical signs to form the set of independent variables affecting the outbreak of diseases. The neural network model outperformed the logistic regression, random forest, and gradient boosting methods in terms of predicting infection to estimate the probability of disease occurrence in farmed areas. Acute hepatopancreatic necrosis disease infected farms downstream of the Co Chien and Hau Rivers of Tra Vinh and west of Ca Mau. Enterocytozoon hepatopenaei infection is distributed in Soc Trang Province, while white spot syndrome virus has spread to the coastal districts of Soc Trang and Bac Lieu Provinces, where it is highly associated to water from a complex canal system.

Technical and financial feasibility for intensification of the extensive shrimp farming area in Mekong Delta, Vietnam

AbstractEngineering design studies and financial feasibility assessments were made for construction, maintenance, equipment, operations, loan requirement, shrimp sales and predicted cash flows for simulated transformations of extensive shrimp farms to intensive shrimp farms in the Mekong Delta, Vietnam. Farms with less than 2.8 ha of feed‐based, aerated production ponds would not be profitable at shrimp yields less than 5 t/ha/year. Profit projections increased in response to greater production area on farms and larger annual pond yields. Farms with 6 ha or more of production ponds and yields of 10 t/ha/year or more had the best profit potential. Greater profitability at higher production intensity resulted from a reduction in the labour cost/product weight ratio as yield per unit area increased. Transformation from extensive to intensive farms would allow greater shrimp production, increase worker income and lessen land and water use. Environmental benefits would include a reduction in sediment starvation of the Mekong Delta, and the option to restore some of the several hundred thousand hectares of mangrove area severely degraded by extensive shrimp farming. These two improvements would be of benefit in retarding erosion along the Mekong Delta coastline. The possibility of intensification and consolidation of the shrimp farming area in the Mekong Delta deserves further consideration.

Polychaete worm - A passive carrier for Enterocytozoon hepatopenaei in shrimp

The present study assessed the role of polychaetes as a potential carrier for transmission of Enterocytozoon hepatopenaei (EHP) in shrimp. The PCR based screening of wild polychaete samples (n = 330) along three coastal states of India revealed EHP in 7.6%, white spot syndrome virus (WSSV) in 8.5% and co-infection of WSSV and EHP in 3.6% samples. Out of 7.6% (n = 25), polychaetes tested positive for EHP by nested PCR assay, 2.1% were I step PCR positive (severe infections) and 5.5% nested step positive (light infections). About 75% of the EHP-positive polychaete samples originated from the sites surrounding or adjacent to shrimp farming areas. Phylogenetic analysis showed that EHP isolates from polychaetes clustered into a single group together with that from India and other countries. Challenge experiments using naïve polychaetes fed with faecal samples of EHP-infected shrimp became positive for EHP in 100% worms at 15 days. However, evidence on replication of EHP in polychaete tissues by histological studies is insufficient to confirm intracellular development. Similarly, EHP-positive polychaetes fed to naïve shrimp transmitted the infection to detectable levels by PCR within a week. The EHP-positive gravid worms did not transmit the microsporidian parasite to their progeny (fertilised eggs or different larval stages). The EHP has the potential to persist in wild polychaetes as long as the worms inhabit contaminated soil sediments. It could therefore be concluded that the polychaetes were apparently capable of carrying infectious spores for some period after ingestion of EHP-contaminated feed or soil sediments. The results support the popular view that use of wild-caught polychaetes as live-feed to shrimp broodstock can increase the risk of passive or mechanical transmission of EHP leading to contamination risk in hatcheries. The present work appears to be the first study involving experimental infection and transmission of E. hepatopenaei between shrimp and polychaetes, in either direction i.e., from shrimp to polychaetes and vice versa.

Research on the spread of pathogens-carrying water in the coastal aquaculture system

This paper presents the application of water source components theory in combination with the MIKE11 modeling tool (1D) to simulate the transport of pathogens-carrying water components in the coastal aquaculture system of Kien Giang province. The simulation results show that pathogens-carrying water spreads at a relatively fast pace and extensively in the system. Drainage schemes have also been proposed to control and minimise the spread of diseases. The application of water source components theory provides the scientific basis to ensure the rational and sustainable design of irrigation system for coastal shrimp-farming areas.

System Requirement Specification of Mobile Apps for shrimp farming in Shyamnagar of Bangladesh

Frozen food is one of Bangladesh’s most valuable export items, comprising more than 80% of shrimp. The most cultivated area of shrimp is situated in the southern region of Bangladesh. This research was carried out to identify the core problem in the shrimp farming areas in order to support the related farmers in seeking a solution through the most common technology used by them. The study was conducted in Shyamnagar, Satkhira district with a total of 40 female respondents involved. This research showed that shrimp farming is pressurized by a lack of proper information on disease identification and its management. Mobile apps are considered the most common information providers among that community. The research defined the common problems and necessity through the system requirement specification (SRS) to provide needed details for the farmers that focused on mobile-app development eventually. It was found that disease (82.86%) and water quality (17.14%) are the most common issues while among the diseases White Spot Syndrome Virus and Yellow Head Virus Disease followed by Black Gill disease were the most alarming to handle without pre-management knowledge. The research also suggests developing voice-based mobile apps for shrimp farmers in the local language.
 

Current status of acute hepatopancreatic necrosis disease (AHPND) and result of isolating AHPND-causing strains of farmed shrimp in Mekong Delta Region of Vietnam

Early mortality syndrome/acute hepatopancreatic necrosis (EMS/AHPND) was first detected in China in 2009. The disease spread rapidly to neighboring countries and emerged in almost major shrimp-producing regions in the world, including Vietnam. The disease has caused serious damage to the global shrimp industry and so far, there is no effective cure. In order to understand the current status of AHPND, and then to introduce effective prevention and detection measures, we collected data and shrimp samples in some provinces in the Mekong Delta to analyze and isolate the pathogenic strains. The results of our study conducted from 2014 - 2018 in four provinces (Ben Tre, Long An, Bac Lieu, Kien Giang) showed that AHPND damaged from 2.0 to 57.2% of the total shrimp farming area. In addition, we isolated 10 AHPND-positive strains via culturing and PCR. The results of representative sequencing of three strains LA1, LA5, and LA8 showed that they were 100% similarity with the previously published strain XN89. These isolated strains are used as a collection for further studies on the origin and mechanism of the disease by whole genome sequencing.

Managing infectious myonecrosis virus (IMNV) in Vannamei shrimp culture: Learning by doing

Infectious Myonecrosis Virus (IMNV) was first reported in Indonesia in 2006. By 2009, it spread all over the significant shrimp farming areas in Indonesia. There was a significant drop in shrimp production due to IMNV outbreak. Several efforts were made to understand the nature, mode of disease progression, and minimize the virus load. The IMNV progression was divided into four stages. Chemicals, especially of chlorine origin, showed protection against IMNV. Tilapia came up with an effective biological remedy against IMNV. The blend of essential oils, pondguard showed significant protection against IMNV in the laboratory and farms.

A cross‐sectional study of shrimp pathogens in wild shrimp,Penaeus vannameiandPenaeus stylirostrisin Tumbes, Peru

We report the results of a longitudinal, cross-sectional study on the prevalence of some of the most important shrimp pathogens in wild shrimp located near Tumbes, the most productive shrimp farming area in Peru. Two enteric pathogens (Baculovirus penaei, BP and Hepatobacter penaei, NHP) and two systemic pathogens (infectious hypodermal and haematopoietic necrosis virus, IHHNV and white spot syndrome virus, WSSV) were detected in wild shrimp Penaeus vannamei and Penaeus stylirostris. Shrimp (n = 9,030) were collected from seven tidal channels of mangrove over 9 months (April through December) during 2012 through 2016. Screening for H. penaei, BP, IHHNV and WSSV were conducted by PCR or qPCR following the OIE-recommended methods. The prevalence of these pathogens was below 3% during the study period, with the prevalence trend being BP > H. penaei > WSSV > IHHNV. The overall trend in IHHNV, H. penaei and WSSV prevalence was similar in both species, P. stylirostris and P. vannamei (p > .05). It was interesting to note that BP prevalence was significantly higher in P. stylirostris than P. vannamei (p < .001). The presence of the enteric and systemic pathogens in the wild shrimp population partially explains the presence of the diseases in the nearby shrimp farming areas, which confirms the risk of wild shrimp as a potential carrier for shrimp pathogens in Tumbes, Peru.

Aeromonas schubertii, a novel bacterium recovered from AHPND affected farm is lethal to whiteleg shrimp, Penaeus vannamei

Retrospective diagnosis of a bacterial collection (n = 31) originated from five farms reportedly affected by early mortality syndrome (EMS) in Southeast Asia in 2016 revealed that 9/31 isolates from two farms tested positive for V. parahaemolyticus causing acute hepatopancreatic necrosis disease (VPAHPND). Molecular analysis of the 22 remaining isolates showed that 21 isolates belong to Vibrio species including VPnon-AHPND, V. vulnificus, V. cholerae, V. owensii and V. alginolyticus. One isolate from an AHPND farm was preliminarily identified as Aeromonas schubertii based on 99.43% nucleotide identity of 16S rRNA to the reference strain ATCC 43700 (X60416). Diseases caused by Vibrio bacteria have been well-studied in shrimp while pathogenic potential of non-Vibrio species has been relatively overlooked. Since the description of A. schubertii present in shrimp farms is rare, this study therefore focused on species identification and its pathogenic potential to shrimp based on a combination of multiple approaches i.e. multilocus sequence analysis (MLSA), challenge test, histopathology and in situ hybridization (ISH). Based on MLSA of 2464 bp derived from 16S rRNA (1346 bp), gyrB (568 bp) and rpoB (550 bp), this isolate was confirmed as A. schubertii. Immersion challenge using three successive 10-fold serial dilutions (2 × 104 to 2 × 106 CFU/mL) revealed that A. schubertii was pathogenic to shrimp and cumulative mortalities were dose-dependent (45–70%). The diseased shrimp exhibited gross sign of reddish body and remarkable histopathological lesion of collapsed hepatopancreatic tubules and typical encapsulation. ISH using A. schubertii-specific probe confirmed localization of bacteria in the hepatopancreas of the infected shrimp. In summary, this study reported a novel pathogenic, non-Vibrio species, A. schubertii recovered from an AHPND-affected farm causing up to 70% mortality in immersion challenge. Since A. schubertii is relatively new to shrimp, this may pose a potential risk for low salinity shrimp farming areas, active surveillance of this pathogen, therefore, should not be overlooked.

Detection of Vegetation Losses in Shrimp Farming Area Using Remote Sensing Technique.

The conversion of mangrove forest to aquaculture activity leads to the destruction of habitat diversity and ecosystem. Shrimp farming is a sector of aquaculture that has a high potential for poverty alleviation and rural development in Tumpat, Kelantan. However, the development of this activity induces changes that potentially have negative impacts on the environment, one of which is vegetation deterioration. Pulau Terendak, Tumpat has been through the phase of conversion area which established as a shrimp farming area at year 1989. Using remote sensing technique, this study was implemented to identify the current status and total ranges of shrimp farming area by comparing vegetation losses from year 1989 to 2017. Land use and land cover maps of study area was analyzed through a process called image classification. Supervised classification using Maximum Likelihood algorithm was utilized to assess vegetation losses of the 45 hectare of shrimp farm area. Four main land use classes were detected namely water, bare area, dense vegetation and small vegetation. Result showed that in 25 years, vegetation of the area had decline to 23.3% while bare soil or open area increased to 8.5%. Digital analyzed data was compared to field verification procedure, accuracy assessment in this study was recorded at 64.3%. There are many causes for vegetation or mangrove loss but in this case the conversion of mangroves to shrimp farms has caused considerable attention whereby vegetation losses was found at serious state. Output of this study could suggest the authorities to plan a good strategy to address this issue in cost effective with maximum benefits for the environment and society.