Districts Of Tamil Nadu Research Articles

Perception and adoption of drip irrigation technology among beneficiaries of the Tamil Nadu Irrigated Agriculture Modernization Project: A Structural Equation Modelling approach

The article examines the beneficiaries’ perceptions of Drip Irrigation Adoption under the Tamil Nadu Irrigated Agriculture Modernization Project using a quantitative research approach and Structural Equation Modelling (SEM). A survey was conducted with 559 respondents from different districts of Tamil Nadu using the Technology Acceptance Model (TAM). Perceived Usefulness (PU), Perceived Ease of Use (PEU), Attitude Toward Use (ATU) and Behavioural Intension (BI) were some of the key constructs in the study. The study utilized a structured questionnaire for data collection, which was then analyzed using percentage analysis and SEM to explore the relationships among the constructs. The results showed that the respondents were predominately older, more experienced farmers with small to marginal landholdings. Educational levels among the respondents were diverse but skewed toward middle and secondary schooling, with (47.39%) having received this level of education. Incomes were predominantly in the lower-middle-class range, with respondents showing moderate interest in scientific practices and a high degree of openness to innovation. The study established that Perceived Usefulness and Perceived Ease of Use were crucial factors influencing farmers' attitudes toward drip irrigation, affecting their behavioural intention to adopt the technology. This study concludes that perceived benefits and ease of use are critical drivers in encouraging the adoption of water-saving technologies such as drip irrigation among farmers. Future research could include longitudinal studies on whether drip irrigation is eventually adopted and impacts farm productivity and water conservation. It may be possible to extend the model to include external variables, such as social influence, economic incentives and policy support, to better understand adoption dynamics.

Co-cultivation of Bacillus amyloliquefaciens and Trichoderma harzianum: Synergistic effects on plant growth and biocontrol of jasmine collar rot

Jasmine (Jasminum officinale) is a valuable and culturally significant flowering crop in India. Still, its cultivation is greatly impacted by collar rot disease, caused by Sclerotium rolfsii Sacc., resulting in yield losses of up to 50%. This study explores co-culture technology, utilizing Trichoderma harzianum TR(D)-4 and Bacillus amyloliquefaciens BC(M)-2, as an integrated single-product solution for the biological control of this pathogen. Field surveys conducted across major jasmine-growing districts in Tamil Nadu revealed a range of disease severity (20% - 52%) and incidence (29% - 64%). The collar rot pathogen, and biocontrol agents were isolated from surveyed locations and identified through morphological characteristics and molecular phylogenetic analysis based on ITS and 16S rDNA sequences. In vitro assays using dual-plate and paired-plate methods demonstrated that Bacillus amyloliquefaciens BC(M)-2 achieved inhibition rates of 71.34% and 78.27%, respectively, while Trichoderma harzianum TR(D)-4 exhibited inhibition rates of 86.27% and 75.43% against Sclerotium rolfsii SR(D)-5. Co-culturing these antagonistic strains synergistically improved antifungal effectiveness, achieving an 87% inhibition rate against S. rolfsii compared to their separate cultures. The synergistic interaction in co-culture promoted the production of novel compounds, including alpha-bisabolol (AB), bis(2-ethylhexyl) phthalate, and harziandione, which enhanced plant growth and inhibited S. rolfsii. Further planta studies confirmed that the co-culture significantly reduced disease incidence and enhanced plant growth in both pre-and post-inoculation strategies. This research highlights the potential of co-culturing T. harzianum TR(D)-4 and B. amyloliquefaciens BC(M)-2 as an effective and sustainable approach for managing collar rot disease in jasmine.

Solanum Surratense: Unveiling its Therapeutic Potential

Solanum surratense plant is tropical plant mostly found in vellore district tamilnadu ,it has traditional history and potential health benefits. This review aids to summarize the current knowledge on phytochemical and pharmacological activities.this solanum surratense has bio active compounds that includes alkaloids,glycosides,flavanoids tannins terpenoids and phenolics that have exhibits antibacterial ,antioxidant,anti diabetic,anti inflammatory and anticancer activites We conduct molecular studies to unveil the therapeutic properties of solanum surratense This review highlights the importance of further research to explore possible applications that could be helpful for treatment and prevention of numerous disesase. Keywords Solanum surratense phytochemicals , pharmacological , Hepatoprotective anti -bacterial ,anti oxidant, anti- diabetic , Neuroprotective Effects, anti- inflammatory and anti- cancer

Review on: Groundnut and its Production Status in Tamil Nadu

We studied various research articles related to trend analysis area, production and productivity in relation to climate change of Groundnut in Tamil Nadu. These articles explained about the importance of groundnut and its cultivation over a period of time. It is the third-largest oilseed crop in the world. India ranks second in terms of output and first in terms of crop area in the world. The major groundnut growing districts in Tamil Nadu are North Arcot, South Arcot, Salem, and Coimbatore. Drawing statistical data on production of groundnut during the year 2018-2019, it states that the area and production in Tamil Nadu is decreasing. Research articles were mostly based on the statistical data collected from various primary and secondary sources. These data were helpful to predict the future trend in area, production and productivity of groundnut in relation to climate change over Tamil Nadu. Key Words: Groundnut, DSSAT(Decision Support System for Agrotechnolgy Transfer), Production, ARIMA.

Impact of COVID-19 on the Livelihoods, Health, Well-being and Pay Disparity of Women Workers in Unorganised Sector in India

The COVID-19 pandemic has significantly impacted the livelihoods, health, pay disparity and well-being of women workers in the unorganised sector, particularly in fields such as agriculture, fisheries and handloom. These women are especially vulnerable to exploitation, gender inequality and human rights violations, as they lack institutional support welfare measures and are poorly organised. The pandemic has only worsened their situation. A field survey was conducted using structured questionnaires with 769 women workers from five districts in Tamil Nadu and Kerala states of India to understand the magnitude and different dimensions of their experiences related to pay disparity and health during pandemic times. The study was conducted after both waves of COVID-19. The study focuses on their livelihoods, health, pay disparity, well-being, working conditions, household dynamics, health scenarios and authorities’ support during the pandemic. The data were supplemented with qualitative inputs with in-depth interviews with women workers across these districts. The results indicate that pay disparity and livelihoods were significant issues faced by women workers during the pandemic, along with financial difficulties, health issues and increased workloads. 84.65 per cent of women workers are aware of wage discrimination, while 48 per cent reported pay disparity at their workplace, 78 per cent were unpaid for overtime, and 88 per cent worked without training or safety measures. However, it was found that 99.7 per cent of women workers had been vaccinated. Based on the study results, there is an urgent need for national and state-level policies and support specifically aimed at women workers in the unorganised sector in India. Failure to address these issues will result in ongoing problems related to pay inequality, poverty, health risks and social marginalisation.

Awareness Study about the Knowledge, Attitude and Practice of Plastic Usage and its Ban Among the Rural Population of Kancheepuram District of Tamilnadu, India. of Kancheepuram DistrictOf Tamilnadu, India

Awareness Study about the Knowledge, Attitude and Practice of Plastic Usage and its Ban Among the Rural Population of Kancheepuram District of Tamilnadu, India. of Kancheepuram DistrictOf Tamilnadu, India

Comparative Analysis of Women Entrepreneurs in Coastal vs. Non-Coastal Regions of Tamil Nadu

This study investigates the women’s entrepreneurship landscape in the Indian state of Tamil Nadu, with particular emphasis on understanding the differences and similarities between the coastal and non-coastal regions. The coastal regions of Tamil Nadu, with their unique economic activities such as fishing and maritime trade, offer different opportunities and challenges to women entrepreneurs than non-coastal regions, which are characterised by different industries and economic structures. In the situation where men are oppressed and rejected in society, many women face different kinds of challenges with their own efforts and intelligence and excel in this field as woman entrepreneurs in this society, also about the challenges faced by the achiever and the recognition. In this study, we will see in detail how the capital required starting the business and the professional and technical knowledge are available, and in the best way they can expand their business in a visionary way and achieve excellence. And we can all know about all kinds of opportunities between women entrepreneurs in coastal districts and women entrepreneurs in non-coastal districts in Tamil Nadu. The study is qualitative in nature; here, data were obtained from a primary and secondary source, and documents were reviewed to discuss the topic under study using the available resources. This study examined whether coastal women entrepreneurs were dominated in the entrepreneurship of non-coastal women entrepreneurs. Based on the findings of the studies, conclusions have been drawn for the main domains of the study. The results of this study are expected to provide valuable insights to policymakers, business support organisations and researchers interested in promoting women’s entrepreneurship in Tamil Nadu. Understanding the nuances of entrepreneurial ecosystems in different geographic contexts will allow us to develop targeted interventions to empower and support women entrepreneurs, ultimately improving state. It can contribute to the economic development of both the coastal and non-coastal regions.

Groundwater Quality Prediction and Analysis Using Machine Learning Models and Geospatial Technology

The most prominent source of drinking water is groundwater, followed by lakes and reservoirs. Hydrological parameters like temperature, dissolved oxygen, pH, conductivity, ORP, and turbidity often change due to waste dumping into natural drinking water sources, particularly in densely populated areas. As a result, the water quality must be tested before public consumption to ensure healthy living in society. This research collected water samples from 129 wells in the Kanchipuram district in Tamil Nadu, India. An efficient integrated machine-learning-based prediction model has been proposed and modeled to determine the groundwater quality index (GQI). Several machine learning models were used to predict the water’s quality, including the naïve Bayes model, the KNN classifier, and the XGBoost classifier. Water quality predictions in 2024 were made using a combination of classification algorithms and models based on long short-term memory (LSTM) neural networks. The projected water quality characteristics were analyzed using geographical information system (GIS) technology to better understand and visualize the results. The XGBoost classifier model outperforms prior findings in the literature, with an accuracy of roughly 94.6%. The classification and prediction model was validated using collected and tested current data samples from a selected well. The findings were accurate within the 5% error range, promoting sustainability.

Comparison of NFHS 4 and 5 data in Tamil Nadu for diarrhoeal disease and risk factors among children under 5 years

Background: Globally, 4 billion cases of diarrhea occur every year and 88% of these can be attributed to unsafe water, inadequate sanitation and poor hygiene. One out of ten babies born in developing countries do not reach their fifth birthday as they die from diarrhoeal diseases. Diarrhoeal diseases remain the number one cause of child mortality in India even though it is a preventable illness. The study aims to compare the prevalence of diarrhoeal diseases and enumerate its risk factors among children aged below 5 years in different districts of Tamil Nadu from NFHS 4 and 5. Methods: This study is a secondary data analysis based on the NFHS 4 & 5 data of Tamil Nadu, which has data available in round 4 for 26,033 households and for 27,929 households in round 5. The analysis pertains to children aged below 5 years who were 7,658 in round 4 and 6,283 in round 5. Results: Overall there was a 53.8% decrease in prevalence in Tamil Nadu. Prevalence in Salem had reduced by 92.1%. Erode, Kanniyakumari and Krishnagiri achieved 84.5%, 86.6%, 89.2% reductions respectively. Nagapattinam and Virudhunagar experienced a higher number of prevalence with 7.5% and 12% increase of cases respectively. Overall Tamil Nadu 71.6% improvement in sanitation from NFHS-4. Tiruvannamalai achieved the highest improvement (96.5%), while Erode did not achieve much improvement (7.8%). Overall Tamil Nadu had 0.92% improvement in drinking water facility from NFHS-4. Nagapattinam and Perambalur have the highest improvement (6.8 and 6.5% respectively) and have achieved 100%. Ariyalur has had a 6.1% decline in quality of drinking water facility. Conclusion: Between NFHS 4 and 5, the prevalence of diarrhoeal cases among children under 5 has dropped by 53.8% and child mortality has reduced by 16.8% in Tamil Nadu. We can also see that there is an overall improvement in of 27.4% in sanitation and 0.92% in drinking water quality.

Assessment of Entrepreneurial Education Service Quality Among Management Students in Salem District, Tamil Nadu

The quality of higher education is increasingly becoming an important issue as the socio-economic development of a country owes much to it. All over the country, the main aim is to increase the standard of education. Parents and government utilize a huge amount of money on educational system. India has the largest numbers of colleges as well as the largest number of management education institutes and infrastructure in the world. The objective of the study is to study the socio-economic profile of the management students and to measure the level of the entrepreneurial skills, level of satisfaction among the management students in Salem district. A survey was conducted from the target audience, students from the Management studies. 350 sample sizes were collected from 20 selected institutions both Government and Private colleges in Salem district Tamil Nadu, using stratified proportionate random sampling method. Microsoft excel 2019 and JASP (Jeffrey’s Amazing Statistics Program) software was used for data Analysis. The questionnaire instrument scale is based on Likert’s five-point scale. The study adopted descriptive research design. The results reveal a strong correlation between service quality dimensions (infrastructure, faculty support) and student satisfaction. Recommendations are made to enhance entrepreneurial education, focusing on improving physical infrastructure, curriculum relevance, and practical learning opportunities.

Prevalence of Ocular Injuries Following Road Traffic Accidents Among Two-Wheeler Riders/Pillions and the Factors Influencing Them Reported in a Tertiary Care Center in Chengalpattu in Tamil Nadu, India.

Introduction Road traffic accident-related ocular damage is a serious public health issue that can result in unilateral blindness. Several individual risk factors lead to ocular injury and various levels of visual impairment. Objectives The objective is to assess the demography and pattern of ocular, orbital, and eyelid injuries among motorcycle accident cases attending a medical college and hospital in Chengalpattu district Tamil Nadu India. Methodology A cross-sectional study was conducted among 67 victims of road traffic accidents who had sustained ocular injuries from October 2023 to June 2024. The selected participants were subjected to a questionnaire regarding thedetails of the history of events leading to the road traffic accident, and complete ophthalmic examination and radiological investigationswere carried out. Informed consent was obtained from all the participants, andin cases where the participant was unable to give consent, informed consent was obtained from their family members. The collected data were analyzed using SPSS version 21 (IBM Corp., Armonk, NY). Result The majority (76.1%) were male between the agegroup of31-40 years, and they were allmotor vehicle/cycle riders seated in the front. Most accidents happened in rural (68.7%), highways (52.2%), and the driver being under the influence of alcohol (64.2%). Most of the participants (80.6%) did not use helmets, and 19.4%were using mobile phoneswhile driving. Visual acuity wasaffected in 57% and 41.8%suffered from orbital floorfracture. About 92.5% of the participants sustained subconjunctival hemorrhagewith ecchymosis and 31.34% had lacerations of the upper eyelid with periorbital edema. Among the participants, 9% had a loss of vision due to vitreous hemorrhage and9%due to Berlin's edema. Conclusion Middle-aged males driving two-wheelers on rural highways, those who did not wear helmets, and thosewho wereunder theinfluence of alcohol werethe vulnerable group. It is advised thatboth front and back-seated persons use safety precautions, such as helmets, and avoid placing the child in front of the rider while driving. Stringentregulations designed to improve conformity to traffic rules are essential in preventing ocular injuries.

Self-reported prevalence of tuberculosis: unveiling spatial representation in the districts of Tamil Nadu.

The objective of the current study was to estimate the self-reported individual-level crude prevalence and cluster-level adjusted prevalence of TB for the districts of Tamil Nadu and to understand the spatial distribution of TB cases through spatial autocorrelation and hotspot analysis. National Family Health Survey (NFHS) data, gathered during 2014-2015 (NFHS-4) and 2019-2021 (NFHS-5), were used in the current study to estimate district-wise, individual-level crude and cluster-level adjusted TB prevalence per 100 000 population in Tamil Nadu. This was illustrated with the help of spatial geographic representation for various districts of Tamil Nadu using SPSS and QGIS software. The spatial autocorrelation and hotspot analysis were performed using Geoda software. The overall self-reported individual-level crude prevalence of TB was 337 (95% CI 302 to 375) and 169 (95% CI 144 to 197) per 100 000 population, whereas the cluster-level adjusted prevalence of TB was 356 (95% CI 311 to 405) and 184 (95% CI 154 to 219) per 100 000 population in NFHS-4 and NFHS-5, respectively. This study highlights those geographical areas with high rates of TB prevalence. This information would be useful for the state and district programme managers to identify areas of high TB prevalence where interventions can be focused.

Serological and morpho-molecular characterization of papaya ringspot virus (PRSV) infecting the papaya (Carica papaya) in Tamil Nadu

Papaya ringspot virus (PRSV) is wreaking havoc on papaya cultivation, leading to significant crop losses. Present study was carried out during 2022 and 2023 at Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu aimed to identify and characterize PRSV in four districts of Tamil Nadu. The incidence of the PRSV ranged from 32–100% in the surveyed districts. Samples displaying symptoms such as mosaic patterns, mottling, yellowing, puckering, shoestring appearance, oily stains on stems and petioles, deformed fruits, and concentric rings on fruits were collected for PRSV confirmation. The preliminary diagnosis of samples using DAS-ELISA showed the presence of PRSV in leaf and fruit skin samples but the absence of the virus in flower and seed samples. The existence of flexuous, filamentous rod- shaped particles measuring 809 nm × 15 nm in the tested leaf sample showed the incidence of Potyvirus, as revealed by transmission electron microscopy (TEM). Molecular characterization of PRSV in leaf and fruit skin samples was carried out using PCR with PRSV coat protein-specific primers, resulting in the amplification of an 850 bp product. Sequencing of the amplified products showed that the partial sequences of isolates CBE1-TN and ANR1-TN were 99.99% identical. Early detection of PRSV is imperative for implementing effective management strategies.

Assessment of access of the public utilities amongst the villages surveyed under Unnath Bharath Abhiyan mission in the Manachanallur taluk of Trichy district in Tamil Nadu, India

Aim of the study was to identify the deficits in the access and utilization of the common public utilities in the villages under Unnath Bharath mission (UBA), India. The initiatives that require some attention and could help improvise the current existing livelihoods in the Indian villages. Descriptive cross-sectional study-cross sectional survey analysis under the five following villages Kovathakudi, Ootathur, Thirumanamedu (west), Thirumanamedu (East) and Thirumangalam of the Manachanallur taluk, Tiruchirapalli district in Tamilnadu that were selected for the UBA study using semi-structured semi-tested questionnaire by doing the door to door survey. In 94% of the surveyed study participants, did not receive any form of pension. 126 (22.7%) study participants of the villages surveyed under the UBA had Mahatma Gandhi national rural employment guarantee act (MGNREGA) job cards. Nearly 590 (51.75%) individuals had some knowledge with regard to the usage of computers. Around 504 (94%) individuals had knowledge regarding self help groups (SHG). Need for attention for initiatives to further improvise the pension scheme, MGNREGA cards, SHG and computer literacy amongst the surveyed population under the Unnath Bharath mission.

A Study to Assess the Effectiveness of Video Assisted Teaching on Knowledge and Attitude Regarding Anaemia Among the Girls in the Selected Arts and Science College at Natham Dindigul District Tamilnadu

A Study to Assess the Effectiveness of Video Assisted Teaching on Knowledge and Attitude Regarding Anaemia Among the Girls in the Selected Arts and Science College at Natham Dindigul District Tamilnadu

Assessment of Annual Litterfall of Woody Plant Community in Southern Thorn Forest, Tirunelveli, Peninsular India

The biological phenomenon, litterfall acts as a connection between tree canopy and substratum of the habitats, influencing the concentration of vital soil nutrients thereby contributing to the tree growth and forest productivity. Information on litter generation of tropical forests including tropical thorn forest is lacking. Therefore, the current study was conducted to find annual litterfall of tree community existing within a Reserve Forest in Tirunelveli, India. A field ecological study was carried out to find annual litter production of woody plant community. Litter traps were kept randomly across the forest to assess the litter production. The litter fallen in each trap was collected separately on monthly basis for one calendar year. The collected litter was separated in to four different classes viz., leaf, wood, amorphous and reproductive organs. The relationship of climatic variables with litterfall was estimated by Pearson’s simple correlation test. The annual litter generation of the study area was estimated at 8.058 tons ha-1 y-1. The amount of total fallen and four classes litter per month varied significantly. In addition, litterfall did not show any significant relationship with the mean monthly temperature (p = 0.128; r2= 0.216) and monthly rainfall (p = 0.817; r2 = 0.0056). The deciduous species accounted for 95% (3.449 tons ha-1) of total annual leaf litterfall. Among four litter classes, the leaf litter accounted for 45.05%. The quantity of annual litterfall recorded from present study area is comparable with other tropical dry forests. The present study concentrated on limited forest areas, further studies with larger study area are needed to quantify the actual annual litter generation of southern thorn forests flourishing in various districts of Tamil Nadu.

Molecular characterization to study the genetic diversity of begomoviruses occurring in the major chilli growing areas of Tamil Nadu state of India.

Chilli leaf curl disease (ChiLCD), which is a significant problem in chilli cultivation, is caused by begomoviruses that are transmitted by the whitefly Bemisia tabaci. This disease leads to severe impacts on crop yields. To determine the incidence of begomovirus in the chilli crop, infected chilli leaf samples exhibiting symptoms such as curling, yellowing, reduced leaf size, and overall stunted growth were collected from various districts of Tamil Nadu, namely, Coimbatore, Dharmapuri, Kancheepuram, Karur, Salem, Krishnagiri, Thoothukudi, Thiruvallur, Tiruchirappalli, Virudhunagar, Tiruvannamalai, Tenkasi, and Vellore, during the years 2018-2022. To determine the complete genome sequence of the begomoviruses, the rolling circle amplification (RCA) method was used to clone and sequence thebegomovirus genomes from the chilli samples collectedfrom various districts of Tamil Nadu. Here we characterized 17 DNA A genome sequences and 12 betasatellite sequences. BLAST results of the DNA A genome sequences revealed nucleotide identities ranging from 94.2 to 99.7% with five distinct begomovirus species of chilli, namely, chilli leaf curl Salem virus (HM007119), chilli leaf curl virus Bhavanisagar (NC_055130), chilli leaf curl Ahmedabad virus (MW795666), chilli leaf curl virus (NC_055131), and chilli leaf curl Sri Lanka virus (JN555600). BLAST results of the betasatellite sequences showed nucleotide identities of 96 to 98.8% with the tomato leaf curl Bangladesh betasatellite (MZ151286). In the present study, five distinct begomovirus species and one associated betasatellite were found to infect chilli crops in Tamil Nadu. This finding indicates a changing pattern of begomovirus occurrence in the different districts of Tamil Nadu. This study highlights the prevalence of chilli-infecting begomoviruses in the major chilli growing districts of Tamil Nadu, the identification of begomovirus species, and the significance of understanding and managing these viruses to safeguard chilli cultivation in the region.

Original Research Article Analyzing Price Behaviour and Constraints in Marketing of Small Onion in Tamil Nadu, India

This study examines market trends and seasonal patterns in small onion Markets in Tamil Nadu, while also investigating challenges faced by various stakeholders in the onion supply chain. The various analyses have made use of secondary data that has been gathered from different sources. The NHRDF office in Coimbatore, NHB website and AGMARKNET website are the sources of the monthly data on wholesale market prices and arrivals of small onions f markets of Dindigul, Chennai, Coimbatore and Idukki from 2014 to 2023. Primary data also obtained to fulfill the one of the research objectives by surveying the sample of respondents. Two districts were selected purposefully: Perambalur and Trichy districts, based on the top onion producing districts in Tamil Nadu. The sample size constitutes 180 respondents (80 farmers, 40 retailers, 20 wholesalers and 40 consumers) were randomly interviewed with help of pre structured interview schedule. Trend analysis revealed increasing price trends across all markets, with Idukki experiencing the highest rate of increase. Seasonal index analysis indicated that prices in Tamil Nadu markets are influenced by arrivals, with lower prices during peak arrival periods., while Idukki market in Kerala prices less influenced by arrivals. Farmers struggle primarily with high labor costs (78%) and high cost of fertilizers pesticides and machineries (68.7%), while consumers face problems with price fluctuations (68.8%) and quality concerns (68.6%), retailers face problems with lack of storage facilities (76.27%) and absence of facilities for grading (64.85%), and wholesalers struggle with financial risks (79.2%). The study's findings will aid policymakers to focus on improving market infrastructure, regulating intermediaries, and supporting farmers in managing costs. Leveraging existing labor schemes could help alleviate workforce shortages. Furthermore, customers would gain from initiatives to maintain price stability and raise quality standards.

Early student dropout detection in Indian secondary education with special reference to selected districts in Tamil Nadu: a machine learning-based survival analysis approach

Early student dropout detection in Indian secondary education with special reference to selected districts in Tamil Nadu: a machine learning-based survival analysis approach

Groundwater quality assessment for drinking, irrigation purposes and fuzzy logic-based water quality index for industrial suitability in Walajapet taluk, Ranipet district, Tamil Nadu, India

ABSTRACT Ranipet district in Tamil Nadu is one of the major industrial zones in India. Groundwater has been extensively used in this region for drinking, agricultural, and industrial purposes. For finding the groundwater quality, representative samples have been collected in the premonsoon (PRM) and postmonsoon (POM) seasons of 2023 and analysed for major physicochemical parameters. The drinking suitability was analysed based on drinking water quality index, and it showed that 68.52 and 70.37% of samples from the PRM and POM seasons are classified as poor groundwater for drinking. The groundwater's suitability for irrigation was analysed based on various irrigation quality indices, and it highlighted that most of the groundwater was suitable for agriculture. Industrial suitability was determined by several industrial quality indices. Due to the simultaneous application of several indices, a sample is categorised into many water quality groups, introducing bias into handling and decision-making. The Mamdani fuzzy inference system creates a unique integrated industrial water quality index to address this issue. The index revealed that only 24.07 and 9.26% of samples from the PRM and POM seasons, respectively, were free of corrosion or scaling, while the remaining samples were inappropriate for industrial use.