Telangana State In India Research Articles

Farmers' Suicides in India: A Qualitative Study of Andhra Pradesh (AP) and Telangana States of India.

Suicides by the farmers' is increasing in India. From 2005 to 2020, 319,598 famers committed suicide and in states of AP and Telangana this number was 319,598 which is 28% of the total. It implies that more than one quarter of the total number of farmers' who committed suicide in the ountry were from Telangana and AP. Worldwide farming is considered as a high risk occupation for mental diseases. May be because of the nature of farming and the risk of natural calamities. The study aims to identify the factors that contribute to farmer suicides in Telangana andAndhra Pradesh (AP) and to propose preventive solutions for the problem. In this research in-depth interviews were done with the close relatives ofthe person who committed suicide and qualitative methodology is used. We find that the main causes of farmers suicides are economic and not themental health of the farmers.

Managerial behaviour of the Agri Start-ups: A case of Punjab and Telangana States of India

Managerial behaviour of the Agri Start-ups: A case of Punjab and Telangana States of India

Assessment of discontinuity related instability potential in a surge pool cavern: kinematic and distinct element approach

Safe and economical subsurface excavation requires a holistic assessment of the ground. Possibilities of stress-induced and structural failures need thorough consideration before excavation. Over-supporting an excavation is uneconomical while under-supporting can lead to disastrous results. Thus, in this research, an attempt has been made to devise the most efficient and reliable support system. An under-construction underground surge pool cavern to store and lift water at the Indian state of Telangana was taken up as the research site. The methodology involved in-depth geological and geotechnical investigations to identify possible adverse features. Rock mass rating and Q-index, were implemented for rockmass characterization. The surge pool was constructed using the Norwegian Method of Tunnelling (NMT) and validated with BIS codes. The stability analysis and support design were carried out with the help of distinct element simulation and wedge analysis for the surge pool heading portion. A right crown portion was found to be most susceptible to failure, which was also confirmed by the both the analysis. A thorough examination led to the most robust and economical support design for long-term stability.

Effective Cataract Surgical Coverage in Four Large Districts in Telangana, India – Results from Rapid Assessment of Visual Impairment Study

ABSTRACT Purpose To report cataract surgical coverage (CSC) and effective Cataract Surgical Coverage (eCSC) from four districts in Telangana, India. Methods Individuals aged ≥40 years were recruited from Adilabad, Mahbubnagar, Warangal and Khammam districts using two stage cluster sampling methodology. All participants had detailed eye examinations including visual acuity assessment using a standard Snellen chart at a distance of six meters, anterior segment examination and fundus imaging by trained professionals. CSC and eCSC were calculated for persons using a 6/12 visual acuity cut-off. Results Of 12,150 individuals enumerated from four districts 11,238 (92.5%) were examined. The mean (standard deviation) age of the participants was 54.1 (±11.2) years (range: 40 to 102 years) and 54.6% (n = 6137) were women. Overall, the CSC (%) was 54.2%. It ranged from a highest of 59% in Khammam followed by 57.5% in Adilabad, 51.7% in Warangal, and a least of 49.7% in Mahbubnagar district. Overall, the eCSC (%) was 39.9%. It ranged from a highest of 46.1% in Adilabad followed by 43.2% in Khammam, 36.2% in Warangal district and a least of 35.8% in the Mahbubnagar district. Conclusions CSC and eCSC varied across the districts. A significant gap between CSC and eCSC is noted suggestive of challenges with quality of services. District-wise planning of cataract surgical services with a focus on quality care is recommended to improve coverage and contribute towards achieving the goal of universal eye health coverage in the Telangana State in India

Long-term regional air pollution characteristics in and around Hyderabad, India: Effects of natural and anthropogenic sources

India is experiencing a rapid urban growth in recent decades modifying the regional air quality around urban agglomerations. Hyderabad, the capital city of Telangana state in India, has been experiencing significant urbanization of about 17 % growth in urban agglomeration over the past two decades. We investigated the long-term pollution characteristics along with the meteorology in and around Hyderabad (300 km × 300 km) using satellite-based remote sensing, and reanalysis data. Columnar aerosol loading was highest during the Spring while the positive trend was more during the Winter. The northeastern and southeastern parts of the study domain experienced higher aerosol loading. A significant increasing linear trend in AOD and PM2.5 is observed over the urban region as well as the northern and eastern parts. The NO2 and SO2 columnar concentrations showed considerable enhancement over the northeast sub-region where numerous thermal power plants are located, and over the urban centre. The SO2 concentration and SSA values were higher during the Autumn, while the NO2 values peaked along with lower SSA values during the Spring. The observed spatio-temporal features in air pollutants are further investigated using rainfall information, transport pathways, vegetation index, and fire events. Higher surface temperature and the polluted northeasterlies caused the comparative enhancement of NO2 concentration during Spring. The investigation on the NDVI and the fire events in different sub-regions points to the possibility of enhanced human settlement, and thereby the associated anthropogenic activities are notable over the West and South parts of Hyderabad. However, the presence of thermal power plants in the northeast and natural gas plants along the coast act as persistent regional sources for aerosols and pollutant gases irrespective of the wet removal.

A study of extreme rainfall events and urban flooding over Hyderabad, October 2020

The present study analyses and describes the evolution of the Mesoscale Convective Complex (MCC) and its atmospheric conditions during Extreme rainfall event in Hyderabad, on 13th October 2020. This extreme weather event was a mesoscale event embedded in a synoptic-scale system. During the second week of October 2020, a depression formed over the west-central Bay of Bengal (BoB) and travelled north-westwards through peninsular India, causing heavy rains in Andhra Pradesh and Telangana states of India on October 13-14. On October 13, many parts of Hyderabad and Cyberabad received more than 300 mm of rain within 24 hrs. Satellite imagery suggests that this mesoscale system constituted a unique set of structured convection those reported in MCC. This MCC has a cloud shield with a continuous low IR temperature of less than - 33 °C over an area of more than 100000 km2 and a cloud shield with a continuous low IR temperature of less than -54 °C over an area of more than 50000 km2 over Hyderabad with a life cycle of about 9 hours. This MCC featured multi cellular characteristics, showing that there was significant low-level moisture in its environment, as well as a mix of vigorous updrafts, implying significant rainfall rates over Hyderabad. The synoptic features suggest that with high precipitable water, the long axis of low-level moisture convergence at 0850 hPa and large horizontal vorticity at 0925 hPa were oriented parallel to the system's mean wind flow. In this case, a clusters of thunderstorms arose in the area of moisture convergence which prolonged the duration of extremely heavy rainfall. The high rain rate, relatively sluggish storm motion, and prolonged back-building over the same locations for several hours are likely to blame for the heavy rainfall accumulations that were observed. The hydrological conditions compounded the effects of the torrential rain, resulting in a natural hazard.

Climate Resilient Technologies, Adaptation, Mitigation and their Influence on Farm Income in Telangana State of India

Climate change is a challenge for developing countries like India due to climate variability. The study area of Telangana is also prone to frequent droughts, resulting in distress among farming communities, and witnessed crop failures leading to farmer’s suicides. The State Action Plan on Climate Change (APCC) reported these issues of drought and heat waves in agriculture. Therefore, the present study was undertaken in 2017-18 by using an ex-post facto research design to assess the climate resilient technologies, mitigation strategies adopted here, and their influence on farm income among the already ascertained most vulnerable Mahabubnagar district and least vulnerable Khammam district farmers of Telanagana State. A total of 480 respondents, 240 from each district, were selected randomly. The technology adoption index was constructed to ascertain the extent of adoption of climate-resilient technology, and further study analyzed the factors influencing the adaptation of climate- resilient, technologies such as the technology adoption index on household farm income, along with other factors. The results of the study indicated that different strategies adopted by farmers in mitigating climate change, such as use of drought-tolerant varieties and life saving irrigations had a positive influence on adaptation to climate change. Further, the study reported that the technology adoption index (TAI) showed a positive, non-significant impact on farm income in both scenarios considered i.e. Mahabubnagar and Khammam which implies that there needs, adopting more technologies intensively and timely, have to significant influence on farm income.

Assessment of spatial nutrient variability at farm level for castor crop (Ricinus communis l.) in semiarid region of Telangana state in India

Site Specific Nutrient Management is a system for maximum yields in field crops. Nutrient Management Zones were developed for castor crop (Ricinus communis L.) in Inceptisols. Grids of 15 x 15 m were made in one hectare and soil samples were collected from each grid and were analyzed for soil characteristics and all available nutrients. Based on analytical data the geo-statistical analysis, varoni maps and different models were developed. The castor yield data was compared in nutrient management zones with farmers practice (FP) and recommended dose of fertilizers (RDF). The variable rates of fertilizers used in SSNM was 92, 53, 15, 40 & 25 kg of N, P, K, S and Zn/ ha and 100, 40, 30 and 80, 40, 30 kg of N, P, K in farmers practice and RDF plots and the yields realized were 28 q/ha and 15 and 13 q/ha in SSNM, RDF and farmer’s practice treatments respectively.

Exploring Novel Sources of Resistance to Cercospora Leaf Spot and Fusarium Wilt Diseases in Cotton

Identify the sources of resistance to Cercospora leaf spot and Fusarium wilt diseases in Cotton under natural field conditions with artificial inoculation at Regional Agricultural Research Station, Warangal of the Telangana State in India. The experimental material consisted of Fifty two cotton germplasms and 13 Bt cotton hybrids with a check. They were tested against Cercospora leaf spot and Fusarium wilt diseases during Kharif 2016. Out of 52 cotton germplasms,14 entries viz.,HYPS-152,H-1250,SA-434,KH-2244N,KH-134,MRK-38,LH-2170,AKH-2822,LH-900,JK-2764,NH-615, GBHU-164,RAH-100 and HOC-5 were found resistant to Cercospora leaf spot and nine entries namely MCU-13, HYPS-152, H-1250, RAH-4, RCH-2, JK-2764, CCH1071, SCS-101, CCH-11 were found resistant to Fusarium wilt disease.Out of screened 13 Bt cotton hybrids, one entry Ankur-3224 was found resistant to Cercospora leaf spot disease and three entries namely First class, Ankur-3224 and RCH-812 were found moderately resistant to Fusarium wilt disease.

Isolation and Cultural, Morphological Characterization of Sclerotium rolfsii Causing Seedling Blight in Rice

In Telangana state, India, around June 2021, the seedling blight of rice was seen in nursery beds 10 days after sowing (DAS). Sclerotium rolfsii was the disease's causative agent. Infected plant samples were gathered in farmer's paddy nurseries in the Telangana state of India during kharif 2021 as part of the Rice Production Oriented Survey (POS) in farmer fields in Katkur (Village), Akkannapeta (Mandal), Siddipet (District). The farmer uses a seed called PAN 152 from a private company. The affected rice seedlings showed the typical signs of soft rot, yellowing and white cottony mould growth. Spherical-shaped dark brown sclerotial bodies were also seen in the basal stem region of the infected seedlings. Cultural and morphological identification was done for identifying the microbe.

Digital Dilemmas and Exclusion of Marginals: A Trajectory from Paradox of Privacy to Poverty of Privacy

This article investigates the competing claims over privacy by the state and civil society as the digital dilemmas arise in the implementation of the Aadhaar Act, 2016 that poses a potential challenge to people’s right to privacy guaranteed under the Indian constitution. The objective is to examine how different sections, especially the marginals such as SC, ST, OBCs, minorities, and women perceive and practice privacy in enrolling for Aadhaar in India. This article has adopted a technique of ‘convenient sampling’ in conducting in-depth discussions with ‘open-ended questions’ during fieldwork in the Telangana state of India. The empirical evidence suggests that demographic factors such as class, caste, gender, and religion influence privacy in India. Further, the interpretation of the informants’ responses, on privacy and Aadhaar, indicates the prevailing ‘poverty of privacy’ rather than the ‘privacy paradox’ among the marginalized sections.

Optimum Sowing Window and Suitable Varieties for Cultivation Soybean (Glycine max L.) During Off-Season in Northern Telangana Zone

Aims: To identify the optimum sowing time and suitable varieties of soybean for profitable cultivation during the off-season in the Northern Telangana Agroclimatic zone of Telangana state in India.
 Study Design: Strip plot design with three replications.
 Place and Duration of Study: The Regional Sugarcane and Rice Research Station, Professor Jayashankar Telangana State Agricultural University (PJTSAU), Rudrur, Nizamabad District, Telangana state, India, between October 2022 and June 2023.
 Methodology: The field experiment was conducted in medium clay loam soil under irrigated condition. The experiment was laid out in strip plot design with three varieties viz., JS 335 (V1), ASB 22 (V2) and KDS 726 (V3) as horizontal strips and nine dates of sowings viz., 3 Oct (D1), 19 Oct (D2), 3 Nov (D3), 19 Nov (D4), 3 Dec (D5) 19 Dec (D6), 3 Jan (D7), 19 Jan (D8) and 3 Feb (D9) as vertical strips, replicated thrice. The seeds were sown by dibbling at 5 cm apart within the row and rows were space at 45 cm apart. Standard recommended package of practice of kharif season suggested by PJTSAU was followed. The data on growth yield attributes was recorded on selected 5 plant, averaged/ plant and grain yield was recorded from net plot, converted to one hectare and analyzed statistically using OP Stat.
 Results: The results of the experiment revealed that, the cv. KDS 726 recorded the maximum plant height (35.2 cm) and biomass accumulation (8.93 g plant-1) which was significantly more over the cv. JS 335 and cv. ASB 22 in 3 Nov and 19 Oct sowings, respectively. The cultivars the cv. JS 335 (V1) recorded more number of pods over cv. ASB 22 (V2) and cv. KDS 726 (V3) in 19 Oct (D2), 3 Nov (D3), 19 Nov (D4), 3 Dec (D5) and 3 Jan (D7) sowings. The cv. KDS 726 (V3) was found superior in terms of seeds pod -1 (3.0) which was comparable to cv. JS 335 (V1) and significantly more over cv. ASB 22 (V2) when it was sown on 19 Oct (D2). The cv. KDS 726 (V3) recorded significantly more test weight (g) over cv. JS 335 (V1) and cv. ASB 22 (V2) from 19 Oct (D2) to 3 Jan (D7) sowings. The cv. ASB 22 sown on 3 Oct produced significantly more seed yield (753 kg ha-1) and haulm yield (1599 kg ha-1) over cv. JS 335 and cv. (KDS 726). 
 Conclusion: The soybean cv. ASB 22 with sowing first week of Oct was found to be suitable for cultivation during the off season.

Seroprevalence and associated risk factors of leptospirosis in bovine dairy farms in Telangana state, India.

The current cross-sectional study aimed to determine the seroprevalence of Leptospira infection in bovine dairy farms in the Telangana state of India, as well as the associated risk factors, in order to implement effective preventive measures for disease control. A total of 469 blood samples were collected from 67 herds/farms in different areas, covering 20 administrative districts in the state. These samples consisted of 253 from cattle and 216 from buffaloes. Questionnaires were used to collect data on host and epidemiological factors. The collected sera were tested using the gold standard serological test, the Microscopic Agglutination Test (MAT), which employed a panel of 18 reference serovars for Leptospira exposure. The statistical analysis of epidemiological data was carried out to identify the risk factors associated with Leptospira exposure. The overall observed seroprevalence at the animal and farm levels was 41.4% and 77.6%, respectively. The most prevalent anti-leptospiral antibodies were observed against the serogroups Icterohaemorrhagiae (32.4%), Pomona (22.2%), Javanica (19.1%), Australis (17.0%), Bataviae (15.5%), Autumnalis (12.9%), Hebdomadis (12.9%), and others, in the total reacting samples. At the animal level, the significant risk factors associated with exposure to Leptospira species were breed (p = 0.03) and health status (p = 0.03). Furthermore, the multivariate statistical analysis of farm factors revealed that farm size (p = 0.05), presence of dogs (p = 0.04) and rodents (p = 0.01) on the farm, use of fodder from wet soils (p = 0.04), and proximity to water bodies (p = 0.04) were significantly associated with exposure to Leptospira in the studied region. This study provides the first report from India highlighting the important risk factors at the herd/farm and animal level associated with Leptospira infections in cattle and buffaloes. The findings contribute to strengthening the one-health strategy by facilitating the design and planning of appropriate control measures to alleviate the burden of leptospirosis in bovines.

Impact of Income Generating Activities on Self-Help Groups Members of Mahabubnagar District of Telangana, India

Whereas there is ample evidence that the Self-Help Groups (SHG) approach is a very effective, efficient, and relevant tool for organizing and empowering the poor, do arise with the design, development, and introduction of programs to promote income-generating activities (IGAs) that will generate sufficient, sustainable and regular income. Mahabubnagar district is one of the 33 districts in the Indian state of Telangana. The district is situated in the Southern Telangana region of the state. The administrative headquarters of the district is situated at Mahabubnagar Urban. The wide range of agricultural activities and allied sources undertaken by the SHG members in the study 11.11 per cent of respondents had dairy and 8.33 per cent of respondents had piggery meager proportion of respondents 6.66 per cent had gone for goattery production. A maximum of less than half 34.44 per cent of the respondents had paddy cultivation as their primary occupation followed by vegetable cultivation engaged by 22.77 per cent of the respondents and 20.00 per cent of SHG members were also involved in sugarcane cultivation. More than one-tenth 15.00 per cent of respondents had gone for banana cultivation whereas a meager proportion of respondents 7.22 per cent had gone for vermicompost production. Several respondents were engaged in individual sources apart from their group to be involved in tailoring 18.88 per cent, pickles making 16.66 percent and toys making 13.88 per cent, Regarding group based activity, napkin preparation 15.00 per cent, curry leaf powder preparation 11.12 cent, foot mat preparation 10.00 per cent and areca plate preparation 10.55 per cent were the major income generating activities found in the study area.

Awareness and utilization of social welfare schemes among elderly villagers of Mahabubnagar rural region in Telangana State of India - An interventional study approach.

Demographic transition enhanced the proportion of geriatric population in India. Senior citizens experience progressive economic dependency for their daily survival. The Government of India provides economic assistance through social welfare schemes. However, inadequate awareness of schemes is the key reason for its low utilization. The present study was implemented to evaluate knowledge and utilization of social welfare schemes and also to assess the effect of educational intervention on awareness of elderly persons about welfare schemes. A community-based interventional study carried out from July to December 2022. A structured 'TIV intervention' comprised of 'Training module', 'Interactive sessions' and 'Village Health Meeting' was administered on 839 elderly persons in one of the rural blocks of Mahabubnagar district of Telangana State of India. Community health workers were actively involved in sensitization sessions. Pre- and postintervention questionnaires were completed through face-to-face interview with participants by trained social workers. The statistical analysis was performed using SPSS Version 20 Software. There was a statistically significant improvement in awareness levels and utilization of social welfare schemes due to TIV intervention (P < 0.001, SD = 3.01vs 1.21). The awareness of schemes was significantly greater among males, literates, socioeconomic scale of classes 1 and 2 and with age group of 60-70 years. Simple, cost-effective intervention can make significant gain in awareness and utilization levels of social welfare schemes among elderly population. 'Traditional Village Meetings' can be used as a potential opportunity to sensitize community members about social welfare schemes.

Geospatial data and web based tools for managing irrigation infrastructure expansion projects

AbstractImproving irrigation infrastructure is important for sustaining food security in developing countries like India. The irrigation potential of a system is estimated at the planning phase using conventional approaches. A mismatch in the irrigation potential planned to be created and the land suitable for cultivation can lead to a gap in the irrigation potential created and utilized, making the scheme unrealistic and uneconomical. This study aims to use geospatial data and geographic information system (GIS) tools to identify land suitable for cultivation when planning an irrigation system. This study was conducted in Telangana State in India, where the projected irrigation potential creation was 5 million ha (Mha). It was observed that the total land suitable for cultivation in the state, considering the soil's topography, and physical and chemical characteristics, is about 6 Mha. Time series of average monthly Normalised Difference Vegetation Index (NDVI) over a 10‐year period was used to identify the critical blocks. The study illustrates how the geospatial data derived from remote sensing and recent GIS tools can aid managers in planning, implementing, and monitoring irrigation projects. The study also demonstrates how long‐term satellite information can be used for regional prioritizationprioritisation for constructing irrigation infrastructure and postconstruction impact assessment. This study was conducted as part of the Young Water Professions (YWP) Training program, which allowed the participants to develop professional competencies and implement their learning in real‐world situations.

SMARThealth PRegnancy And Mental Health study: protocol for a situational analysis of perinatal mental health in women living in rural India.

The situation for women experiencing mental health problems during pregnancy and postpartum in rural India is critical: a high burden of disease, a high estimated number of women are undiagnosed and untreated with mental health problems, a substantial gap in research on women's perinatal health, and severe stigma and discrimination. The SMARThealth Pregnancy study is a cluster randomised trial using a digital intervention to identify and manage anaemia, hypertension, and diabetes in the first year after birth in rural India. Within this study, the SMARThealth Pregnancy and Mental Health (PRAMH) study is a situational analysis to understand mental health problems during pregnancy and in the first year following birth in this population. This situational analysis aims to analyse and to assess the context of perinatal mental health, health services, barriers, facilitators, and gaps in Siddipet district of Telangana state in India, to develop an implementation framework for a future intervention. A tested, standardised situational analysis tool will be adapted and applied to perinatal mental health in rural India. A desktop and policy review will be conducted to identify and analyse relevant mental health and pregnancy care policies at the national and state levels. We will conduct in-depth interviews with policymakers, planners, mental health professionals and other experts in perinatal mental health (n = 10-15). We will also conduct focus group discussions with key stakeholders, including women with perinatal mental health problems, their families and carers, and community health workers (n = 24-40). A theory of change workshop with key stakeholders will be conducted which will also serve as a priority setting exercise, and will clarify challenges and opportunities, priorities, and objectives for a pilot intervention study. The analysis of qualitive data will be done using thematic analysis. Based on the data analysis and synthesis of the findings, an implementation framework will be developed to guide development, testing and scale up of a contextually relevant intervention for perinatal mental health. The situational analysis will help to establish relationships with all relevant stakeholders, clarify the context and hypotheses for the pilot intervention and implementation.

Urban Rainfall-Runoff Modeling Using HEC-HMS and Artificial Neural Networks: A Case Study

Urban flooding nowadays becomes common throughout the world. The main reason for these floods is rapid urban development and climate change. During the monsoon, the flows in the urban drains will be high and the main reason for these high flows is the existence of a combined network system (i.e. drainage and stormwater). Further, the flow in the city (under study) drainage network was very high and some areas of the network exceeds more than discharge carrying capacity. Hence, this may result in overflow from the manholes and create an overland flood problem. Rainfall-Runoff modeling in these situations in the urban catchment will be essential and required to understand the flow pattern that helps in flood management. Therefore, the current study chose Hydrologic Modeling System (HEC-HMS) and Artificial Neural Network (ANN) for rainfall-runoff modeling at an hourly period for the Kukataplly (zone-12) watershed of Hyderabad city, Telangana State in India. This zone-12 watershed was one of the most affected hydraulic zones of Greater Hyderabad Municipal Corporation (GHMC) during the monsoon period in the past 21 years. The present study focuses on a comparative study between HEC-HMS and ANN has been carried out to comprehend the flood scenario in the study area. Finally, the performance of the model is checked with statistical indices such as Nash-Sutcliff Efficiency (NSE), and Coefficient of Determination (R2). HEC-HMS yielded good results (NSE = 0.74 and R2 = 0.76) when it has taken care of the maximum possible nonlinear complex data to be analysed.

The Traditional Sheep Penning System: An Exploratory Study on Farmers’ Preferences, Farmer-Pastoralist Relationships and Economics of Sheep Penning in Telangana, India

Penning of livestock especially in the southern Indian peninsula can be traced back to the Neolithic age. The presence of ‘Ashmounds’ across most parts of the southern Indian peninsula indicates a complex agro-pastoral economy flourishing since the Neolithic era. Contemporary studies on sheep penning in India, however, remain mainly focused on its contribution to soil fertility and relevance to organic farming and economics, but very few studies have focussed on the farmers’ preference for sheep penning, farmer-pastoralist relationships and sheep penning economy in the backdrop of a rapidly changing agriculture landscape in the Telangana state of India. Observations of the study indicate that changes in agricultural practices and decrease in commons have led to changes in the sheep flock size, seasonal migration pattern of pastoralists and farmers’ preference for sheep penning in the study area. Participant farmers of the study, who practice both penning and application of synthetic fertilizer, reported to have incurred relatively lesser input costs than the farmers who exclusively rely on synthetic fertilizers. Penning was reported to be the second major source of household income for the pastoralists who participated in the study, next to the sale of live animals.

Impacts of irrigation tank restoration on water bodies and croplands in Telangana State of India using Landsat time series data and machine learning algorithms

In 2014, the State of Telangana in southern India began repairing and restoring more than 46,000 irrigation water tanks (artificial reservoirs) under the Mission Kakatiya project with an investment in excess of USD 2 billion. In this study, we attempted to map the temporal changes that have occurred in cropland areas and water bodies as a result of the project, using remote sensing imagery and applying land use/land cover (LULC) mapping algorithms. We used 16-day time series data from Landsat 8 to study the spatial distribution of changes in water bodies and cropland areas over the 2013–18 period. Ground survey information was used to assess the pixel-based accuracy of the Landsat-derived data. The areas served by these tanks were identified on the basis of training data and Random Forest algorithms using Google Earth Engine. Our spatial analysis revealed a substantial increase in cropped area under irrigation and expansion of water bodies over the study period. We observed a 20% increase in total tank area in 2017–18 and total cropland and irrigated area expansion of the order of 0.6 M ha and 0.2 M ha, respectively. A comparison of ground survey data and four LULC classes derived from Landsat temporal imagery showed an overall accuracy of 87%, significantly correlated with national agriculture statistics. Periodic monitoring based on remote sensing has proved to be an effective method of capturing LULC changes resulting from the Mission Kakatiya interventions. Higher-resolution satellite data can further improve the accuracy of estimates.