Cropping Pattern Research Articles

Nutritional Physiology of Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) Fed on Different Wheat Varieties

Within the context of agricultural ecosystems, understanding the nutritional physiology of insects and their host plant preferences is essential for optimizing pest management strategies and improving crop production. In this study, we conducted an in-depth examination of the nutritional physiology of the fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae) in the context of different host plants, specifically wheat varieties, in comparison to maize. Our investigation focused on key parameters, including the Relative Consumption Rate (RCR), Relative Growth Rate (RGR), and Efficiency of Conversion of Ingested food (ECI) of S. frugiperda fed on different wheat varieties including: Dilkash-20, Fakhar-E-Bhakkar-17, Subhani-21, Faisalabad-08, and Akbar-19 in comparison to maize (NK-6654). The results revealed that S. frugiperda displayed a significantly (P < 0.05) higher RCR (8.08 g/g/day), RGR (1.50 g/g/day), and ECI (25.1 %) when feeding on maize, followed by Fakhar-E-Bhakkar-17 (RCR =7.00 g/g/day, RGR =1.24 g/g/day and ECI =21.4 %) and Akbar-19 (RCR = 6.06 g/g/day, RGR = 1.04 g/g/day and ECI =19.7 %) wheat varieties after 1 week of feeding. The lowest values of all these nutritional parameters were recorded on the Dilkash-20 variety (RCR = 2.98 g/g/day, RGR = 0.38 g/g/day, and ECI = 7.94 %). These findings offer valuable insights into the nutritional interactions between S. frugiperda and the host plants, shedding light on potential implications for pest management strategies and crop patterns.

Impact of Concepts and Spatial Scales on Irrigation Efficiency for Sustainable Water Resources Management: A Review

This paper provides a review of different ‘irrigation efficiency’ concepts evolved over the time since the term was originally conceived, from an engineering perspective; the impact of scale, i.e., from field to basin, on savings in water demands through hightech irrigation—the efficiency paradox; the role of rice cultivation—water guzzler or recharge basin; and policies for transforming high-tech irrigation into water-conserving interventions. As these issues are interlinked, their synergetic resolution is necessary for establishing sustainable irrigated-agriculture at basin scale. There is a consensus on the utility of classical irrigation for designing the capacity of different components of an irrigation system; and also appreciation of the fact that it does not represent the true picture of water savings/losses at the basin scale. Consumed fraction-based water accounting makes a better representation of irrigation performance from field to basin scales. In literature, studies from different countries revealed the positive impact of hightech irrigation in improving land productivity and income at the field scale but without any significant water conservation for further use to other sectors/locations. Many studies also indicate that introduction of high-tech irrigation in water-scarce but abundant irrigable land regions led to increased water use, which resulted in further decline of water table and/or deterioration of groundwater quality. The increase in water demand on improving irrigation efficiency is known as the efficiency paradox or rebound effect. In water-scarce areas, high-tech irrigation should be promoted with caps on water withdrawals even if the water transfer to downstream areas or other uses is not required. High-tech irrigation is helpful in reducing transaction costs for achieving water conservation, but gold plating of irrigation infrastructure alone would not be sufficient. This study emphasizes on enactment and enforcement of policies for regulating total water withdrawal, limiting irrigated area, and adopting ecologically-compliant cropping patterns for establishing sustainable irrigated-agriculture without the rebound effect.

Impact and Assessment of Climate Change on Agricultural Production in India: A Geographical Perspective

Climate change is an imminent global challenge that poses significant threats to our planet’s ecosystems, human societies, and overall well-being. Climate change refers to long-term shifts in temperature and weather patterns (UN) 2023 has shown all too clearly that climate change is here, and human activities have been the main driver of climate change. At the core of climate change is Global Warming which has triggered the melting of glaciers, sea level rise, weather fluctuation, erratic rainfall, and an increase in temperature patterns over the next century is predicted. The main objectives of this research paper is to examine the various causes of climate change in India and what is the impact of climate change on agricultural production in different parts of the country. The entire study is based on secondary sources of data. The result of the study shows that agricultural sector, which is already having difficulties as a result of the growing need for food, is being negatively impacted by climate change. In India, agriculture is very important because it is the foundation of the country's economy and provides a living for most of the population. 17.4% of India's GDP, or its gross domestic product, is derived from agriculture (Economic Survey, 2015–16). Drought, heat waves, storms, flooding, delayed monsoons, and variations in seasonal temperatures are some of the elements that negatively affect agricultural operations, such as planting, tending, and harvesting crops like Zaid, Rabi, and Kharif. These factors affect India's agricultural productivity as well as livestock farming. The study also reveals that Climate change has resulted in altered cropping patterns and decreased output of crops such as sugarcane, ground nuts, and paddy in states like Gujarat, Maharashtra, Orissa, West Bengal, Uttar Pradesh, and Bihar. Some Indian states, including Bihar, Maharashtra, and Kerala, have demonstrated climate variability by experiencing drought-like conditions in certain areas and flood-prone areas in others. Also, it results in the failure of crops, which drives farmers in some states to take their own lives due to crippling debt. On top of that, there is a risk to food security, a change in the quality of nutrition, a modification in pest and disease, but—above all—it is making life harder for the people having poor socio-economic status.

MPSARB: design of an efficient multiple crop pattern prediction system with secure agriculture-record-storage model via reconfigurable blockchains

MPSARB: design of an efficient multiple crop pattern prediction system with secure agriculture-record-storage model via reconfigurable blockchains

Evaluating the Climate Change Trends and Spatiotemporal Variations of Evapotranspiration: A Case Study in El-Beheira Governorate, Egypt

Aims: Evapotranspiration (ET) is crucial for determining crop water requirements, while climate change and global warming are major concerns. Therefore, in this study, we aimed at evaluating the climate change trends and the spatiotemporal variations in ET in a selected area located in El-Beheira Governorate, Egypt, while accounting for potential land use/land cover (LULC) changes. Methodology: We analyzed three Landsat images acquired in 1984, 2001, and 2020 to assess LULC changes in the study area. Climate change was studied from 1984 to 2021 using data from NASA's Prediction of Worldwide Energy Resource (POWER) project. We also used the Terra MODIS MOD16A3GF Version 6.1 ET product from 2000 to 2021 to evaluate the spatiotemporal variations of ET. Results: LULC change detection showed that the unchanged agricultural area from 1984 to 2020 accounted for 29.3% of the study area and was used to evaluate the changes of ET. Evaluating climate change revealed that there was an increased trend in temperature, relative humidity (RH), and precipitation, while no change was observed in wind speed. Similarly, the anomalies changes of temperature, RH, and precipitation had an increasing trend while wind speed was constant. On the other hand, the yearly ET values calculated from 2000 to 2021 had an increasing trend. There was a moderate correlation between RH and precipitation, as well as between ET and precipitation. Conclusion: The increased trends in climatic parameters such as temperature will eventually require changes in crop patterns to adjust to these changes and maintain a profitable yield. Furthermore, the increase in ET will result in an increase in crop water requirements, which is problematic, especially considering the limited water resources in Egypt.

WPS:A whole phenology-based spectral feature selection method for mapping winter crop from time-series images

Accurately obtaining the spatial distribution and planting patterns of crops is very important for agricultural planning and food security. At present, time-series images have been proved to be an effective tool to characterize crop seasonal growth patterns, and identifying crop information by measuring the time-series similarity between unknown classes and known crop phenology curves is also considered to be a useful way. However, the existing methods of selecting feature ignore the connection between each phenological stage of crops and the unique growth rules of the whole phenology, which makes it difficult to select time-series spectral features that are potentially important for crop mapping. In order to make up for this problem, a Whole Phenology-based Spectral Feature Selection (WPS) method was proposed. The aim was to select the time-series feature sets with great differences among winter crops from a large number of spectral features, so as to improve the mapping accuracy of winter rapeseed and winter wheat. Firstly, spectral separability between all classes is calculated. Secondly, the key phenological periods of winter crops were selected according to the importance of temporal features, and the spectral feature sets with high separability were selected according to the key phenological periods. Finally, a Time-weighted Dynamic Time Warping (TWDTW) algorithm was used to generate the winter rapeseed and winter wheat maps of two cities in the middle and lower reaches of the Yangtze River. The mapping accuracy of the two crops is more than 92%, which matches the crop planting area well. The research shows that combining the WPS method with the TWDTW mapping method has great potential to accurately map crop types based on satellite time-series images.

Changing Cropping Patterns in the Central Himalaya: Causes and Implications

The Himalaya is experiencing significant changes in land use and cropping patterns. This paper examines the major causes and consequences of these changes in the Central Himalaya, focusing on two districts: Dehradun (Garhwal region) and Nainital (Kumaon region). Data on land use and cropping patterns for both districts were collected from the district statistical diaries and, subsequently, were analyzed. The analysis reveals that cropping patterns are undergoing substantial changes in both districts, although the change is not uniform across the regions. Various factors contribute to the shifting cropping patterns. In the recent past, there has been a notable increase in climate variability and change, with a persistent warming observed in the river valleys and mid-altitudes. Other significant factors influencing the changing cropping patterns include decline in the area and production of crops, alterations in food habits, population growth, and out-migration in the Central Himalaya.

An Economic Analysis of Cropping Pattern, Marketing Chains and Food Security Status of Farm Households in Rural-Urban Interface of Bengaluru, India

The study was taken in rural-urban interface of Bangalore to examine the participation of households in different marketing chains and production diversification on food insecurity status among selected households. Herfindahl-Hirschman (HH) index was used to estimate the crop diversification in both north and south transect. To analyze the household food security status, Food Security Index (FSI) was employed. The results indicated that, south transect was more crop diversified than north transect and the food security status was also high in south transect compared to north transect, hence crop diversity is having positive influence on household food security status in the study area. Among the different crops cultivated in the study area, percentage of area under ragi was the highest followed by maize in both the transects. In case of both maize and ragi, majority of the farm households sold their produce in the regulated markets. But ragi producers realized higher price (Rs. 2350/q) in farmers market (producer to consumers) and maize producers realized higher price (Rs. 1550/q) in regulated markets. Food security can be enhance through crop diversification and better price realization can be achieved by encouraging to adopt direct marketing or selling farmers produce through regulated markets.

Effect of crop pattern and types of manure on the growth of Sappan wood (Caesalpinia Sappan L.) in Jatinangor, West Java, Indonesia

 Sappan wood plants are one of the medicinal plants in Indonesia. Considering the potential of Sappan wood plants in the health and industrial sectors, special cultivation techniques are required to ensure that Sappan wood plants can grow with a large stem diameter. A large stem diameter can be achieved by using the appropriate planting distance. The right planting distance requires land with sufficient organic content. This research aims to determine the optimum planting distance and the appropriate type of organic material to produce Sappan wood plants with a large diameter. The experimental design used was a Split Plot Design, with planting distance (J) as the main plot and organic fertilizer (P) as the sub-plot. The planting distance factor levels were J1 = 1m x 1m, J2 = 2mx2m cm, J3 = 3m x3m. The organic fertilizer factor levels were P1 = Cow Manure Fertilizer, P2 = Chicken Manure Fertilizer, and P3 = Sheep Manure Fertilizer. The results showed an interaction between the planting distance treatment and the use of manure fertilizer on the parameters of stem diameter and soil pH of Sappan wood plants at 3 MAP (months after planting). The planting distance treatment independently influenced the results, with a 1m x 1m planting distance providing the best results for plant height and stem diameter. In general, the application of different types of manure did not significantly affect the growth of Sappan wood plants.

Soil microbial community are more sensitive to ecological regions than cropping systems in alpine annual grassland of the Qinghai-Tibet Plateau.

Modern agriculture emphasizes the design of cropping systems using ecological function and production services to achieve sustainability. The functional characteristics of plants (grasses vs. legumes) affect changes in soil microbial communities that drive agroecosystem services. Information on the relationship between legume-grass mixtures and soil microorganisms in different ecological zones guides decision-making toward eco-friendly and sustainable forage production. However, it is still poorly understood how cropping patterns affect soil microbial diversity in alpine grasslands and whether this effect varies with altitude. To fill this gap in knowledge, we conducted a field study to investigate the effects of growing oats (Avena sativa L.), forage peas (Pisum sativum L.), common cornflower (Vicia sativa L.), and fava beans (Vicia faba L.) in monocultures and mixtures on the soil microbial communities in three ecological zones of the high alpine zone. We found that the fungal and bacterial community structure differed among the cropping patterns, particularly the community structure of the legume mixed cropping pattern was very different from that of monocropped oats. In all ecological zones, mixed cropping significantly (p  < 0.05) increased the α-diversity of the soil bacteria and fungi compared to oat monoculture. The α-diversity of the soil bacteria tended to increase with increasing elevation (MY [2,513 m] < HZ [2,661 m]  < GN [3,203 m]), while the opposite was true for fungi (except for the Chao1 index in HZ, which was the lowest). Mixed cropping increased the abundance of soil fungi and bacteria across ecological zones, particularly the relative abundances of Nitrospira, Nitrososphaera, Phytophthora, and Acari. Factors affecting the bacterial community structure included the cropping pattern, the ecological zone, water content, nitrate-nitrogen, nitrate reductase, and soil capacity, whereas factors affecting fungal community structure included the cropping pattern, the ecological zone, water content, pH, microbial biomass nitrogen, and catalase. Our study highlights the variation in soil microbial communities among different in alpine ecological regions and their resilience to cropping systems. Our results also underscore that mixed legume planting is a sustainable and effective forage management practice for the Tibetan Plateau.

Agricultural Yield Responses to Climate Variabilities in West Africa: A Food Supply and Demand Analysis

Agricultural productivity is expected to decrease under changing climate conditions that correspond to the stability of West African food systems. Although numerous studies have evaluated impacts of climate variability on crop yields, many uncertainties are still associated with climate extremes as well as the rapid population growth and corresponding dietary lifestyle. Here, we present a food supply and demand analysis based on the relationship between climate change, crop production, and population growth in three sites from southwestern Burkina Faso to southwestern Ghana. Climate and agricultural time series were analyzed by using boxplots mixed with a Mann–Kendall trend test and Sen’s slope. Food balance sheets were calculated by estimating the demand using a population growth model linked to food supply with local consumption patterns. We found almost insignificant rainfall and temperature trends for both sites in the Sudano-Guinean savannah. Conversely, the climate regime of southwestern Ghana revealed a strong significant increasing temperature over time. Crop yield trends demonstrated that maize and sorghum were significantly enhanced in both study areas of the Sudano-Guinean savannah. Southwestern Ghana depicted a different crop pattern where cassava and plantain showed a strong upward yield trend. The grouped food balance sheets across the regions illustrated a surplus for the Sudano-Guinean savannah while southwestern Ghana exhibited a deficit. Despite the growing yield of various crops, food demand is outpacing regional production.

Assessing the impacts of climate change on water resource management and crop patterns in Eastern Iran

Rapid population growth and climate change are poised to significantly impact water resources and agriculture. Consequently, it becomes imperative to delve into the repercussions of climate change on agriculture and natural resources in developing nations. In this research, an economic–hydrological model was employed to assess the influence of climate change on water management and cropping patterns in the Eastern border catchment of Iran. The climatic data used in this study, spanning the years 1997–2022, encompassed daily rainfall and temperature records from the Khorasan and Sistan & Balouchestan meteorological organization, as well as the Iranian Statistical Center. Monthly water discharge data were obtained from the Khorasan and Sistan & Balouchestan regional water authority, while information on crop levels and agricultural inputs was collected from the Khorasan and Sistan & Balouchestan agricultural jihad organization. The findings reveal that areas dedicated to cultivating high-yield crops experienced a decrease when associated with high water consumption, whereas the cultivation areas of high-yield crops expanded when water consumption was reduced. The implementation of modern irrigation methods, such as pressurized irrigation, not only conserves valuable water resources but also enhances efficiency, ultimately resulting in decreased water consumption and increased production. Consequently, the provision of enhanced training programs aimed at educating farmers about these practices and facilitating their adoption can play a pivotal role in adapting to and mitigating the challenges posed by climate change.

Growth Competition between Rice (Oryza sativa) and Barnyardgrass (Echinochloa oryzicola) under Varying Mono-/Mixed Cropping Patterns and Air Temperatures

Growth Competition between Rice (Oryza sativa) and Barnyardgrass (Echinochloa oryzicola) under Varying Mono-/Mixed Cropping Patterns and Air Temperatures

Exploring socio-psychological factors affecting farmers' intention to choose a low-water-demand cropping pattern for water resources conservation: Application of the health belief model

Water scarcity threatens food security and leads to various economic, social, and environmental challenges, particularly in arid and semi-arid regions. As the agricultural sector consumes the most significant amount of water, conserving water resources in this sector is particularly important. Cultivation of low-water-demand (LWD) crops with high value-added is one of the effective measures to reduce agricultural water demand and improve farmers' livelihoods. However, changing water-intensive crops to LWD crops (e.g., medicinal plants) is voluntary pro-environmental behavior. Considering the role of psychological theories in understanding and explaining human behaviors, the main purpose of the current paper is to explore the socio-psychological determinants underlying farmers' intention to adopt an LWD cropping pattern using the Health Belief Model (HBM). In this regard, data were collected using face-to-face interviews with 184 farmers living in Zanjan province, Iran to examine their intention to cultivate LWD medicinal plants. Using structural equation modeling for data analysis, the HBM explained 49% of the variance in farmers' behavioral intentions. The structural equation modeling outcomes also revealed that self-efficacy, perceived barriers, cues to action, and perceived benefits are significantly related to farmers' intention to choose medicinal plants. Overall, the findings indicated the effectiveness and applicability of the HBM in illustrating farmers’ intention to change their cropping pattern. Applying some strategies such as providing the necessary facilities and training programs for farmers, as well as, advertisements aimed at promoting the cultivation of medicinal plants can significantly contribute to conserving water resources in the study area.

Home garden mixed cropping practice by communities living on peatland in household’s income resilience and climate adaptation

Land use with mixed crop cultivation practices, or agroforestry, is currently important for small farmers because it provides economic resilience and ecosystem-based solutions for climate change adaptation. This research is to examine the role of agroforestry in the homegarden of communities living on peatlands in supporting household economic resilience and the impact of climate change on their livelihoods. In-depth interviews using questionnaires and field observations were carried out for data collection. The research results show that agroforestry based on fruit plants such as Durio kutejensis, Artocarpus champeden, Lansium domesticum, and Parkia speciosa is found in Pulang Pisau Regency, while the mixed crop pattern of Pinang catechu, Coffea liberica, and Cocos nucifera is found in West Tanjung Jabung Regency. This type of land use provides economic stability for farming households on peatlands. Farmer experience and knowledge, species preferences, markets, land ownership, and labor availability are considered in implementing mixed cropping systems. Access to credit and capital and increasing farmers’ abilities during harvest and post-harvest are really needed by farmers. Therefore, support from various stakeholders and pro-farmer policies is needed so that mixed cropping systems can improve the livelihoods of small farmers and reduce their vulnerability to climate change.

Evaluating the Effect of Deficit Irrigation on Yield and Water Use Efficiency of Drip Irrigation Cotton under Film in Xinjiang Based on Meta-Analysis.

Water scarcity constrains the sustainable development of Chinese agriculture, and deficit irrigation as a new irrigation technology can effectively alleviate the problems of water scarcity and water use inefficiency in agriculture. In this study, the drip irrigation cotton field under film in Xinjiang was taken as the research object. Meta-analysis and machine learning were used to quantitatively analyze the effects of different farm management practices, climate, and soil conditions on cotton yield and water use efficiency under deficit irrigation, to investigate the importance of the effects of different factors on cotton yield and water use efficiency, and to formulate appropriate optimization strategies. The results showed that deficit irrigation significantly increased cotton water use efficiency (7.39%) but decreased cotton yield (-15.00%) compared with full irrigation. All three deficit irrigation levels (80~100% FI, 60~80% FI, and 40~60% FI; FI: full irrigation) showed a significant decrease in cotton yield and a significant increase in water use efficiency. Under deficit irrigation, cotton yield reduction was the smallest and cotton water use efficiency increased the most when planted with one film, two tubes, a six-row cropping pattern, an irrigation frequency ≥10 times, a nitrogen application of 300~400 kg·ha-1, and a crop density ≥240,000 per hectare, and planted with the Xinluzhong series of cotton varieties; deficit irrigation in areas with average annual temperature >10 °C, annual evapotranspiration >2000 mm, annual precipitation <60 mm, and with loam, sandy soil had the least inhibition of cotton yield and the greatest increase in cotton water use efficiency. The results of the random forest showed that the irrigation amount and nitrogen application had the greatest influence on cotton yield and water use efficiency. Rational irrigation based on optimal management practices under conditions of irrigation not less than 90% FI is expected to achieve a win-win situation for both cotton yield and water use efficiency. The above results can provide the best strategy for deficit irrigation and efficient water use in drip irrigation cotton under film in arid areas.

Optimal Cropping Pattern for Adoption of Micro-Irrigation Methods in Canal Command Area - A Case Study

Currently the micro irrigation methods are mainly adopted on farms with irrigation from tube wells or dug wells. However, in view of increasing scarcity of water for irrigation and need to increase food production, it is important to adopt these methods in canal command area. A linear programming model was formulated to suggest the optimal cropping pattern under micro irrigation method in canal command areas. The objective was to achieve the maximum such as net returns. The objective function of the model was subjected to the constraints such as total available water and land during different irrigation periods, crop area restrictions, and system reutilization constraints. The system reutilization constraint facilitated utilization of micro irrigation system among the different short duration seasonal crops having similar system geometry requirement. The model was applied to command area of direct minor no. 3 of the Mula Irrigation Project, Ahmednagar, Maharashtra. The model gave optimal cropping pattern for

Impact of traditional community tanks rejuvenation on groundwater recharge and crop productivity in Yadgir district of Kalyan Karnataka Region, India

Yadgir district is identified as most backward ditrict by NITI ayoga on account of their “lowest composite indicators in terms of health and nutrition, education, agriculture, water resources, financial inclusion, skill development and basic infrastructure. Traditional community tanks (TCT’s) are classic examples of common pool resources that have been traditionally managed by local communities for irrigating their crops since age old and they are a living example that illustrates the capability of a man-made tank ecosystem evolved in harmony with nature to withstand natural disasters like drought, floods, and cyclones. These tanks not only protect and conserve the environment, but also contribute to livelihood security to rural farmers. These tanks have contributed significantly in agricultural production through supplementary irrigation and are declined recent decades in Yadgir district which is susceptible to drought compared to other district in the states. Such 13 TCT’s were rejuvenated for enhancing water storage capacity in the district under “Jal Samvardhane -District-wide Water Conservation Project” by Bharatiya Jain Sangh (BJS) In colloboration with Dept. of Agriculture, Yadgir. The study proved that, the average water storage capacity was raised by 24.80 percent in selected rejunuvented TCT’s. The average GWL increased for all selected tanks from 1.62 m to 3.81 m during the post-monsoon seasons of 2019 and 2020, respectively, compared to 1.31 metres before tank disiltation in Rabi 2018. Pigeonpea yield was increased by 4.13 percent (6.56 q/ha) to 20.57 percent (7.62 q/ha) with an average of 11.80 percent across all TCTs. Similarly, cotton prices increased by 4.85 percent (7.13 q/ha) to 21.53 percent (7.45 q/ha) throughout the growing season, with an average of 13.44 percent across all TCTs. Tank irrigation development activities have a substantial impact on groundwater recharge, access to groundwater, and in turn on the extension of irrigated water area. Tank irrigation development efforts have been shown to alter crop patterns, increase crop yields, and diversify crops, resulting in increased employment and farm income of small &amp; marginal farmers of the Yadgir district.

How a price‐support policy can hurt the environment: Empirical evidence from Northeast China

AbstractDuring the corn stockpiling system reform in Northeast China between 2008 and 2015, corn production expanded dramatically, and corn residue, which was mostly burned in‐situ, caused severe air pollution issues. Using a difference‐in‐differences approach, we assessed the effects of the corn stockpiling system reform in China and its associated environmental outcomes with a provincial‐level dataset. Our results suggest that the implementation of this policy significantly increased annual corn production in Northeast China by 15.1%. We also observed a substitution pattern between corn and soybean cultivation in the treatment area, with a percentage point increase in the net soybean‐to‐corn profit ratio leading to a decrease in corn production by 0.023 percentage points. Overall, based on changes in crop patterns during the system reform, increased straw resulted in increased burning and the resulting consequence to the environment is a net pollution increase equivalent to 16.03%, 0.33%, and 3.64% of the smoke and dust, SO2, and NOX, respectively, from the industrial sector in the treatment provinces.

Groundwater in India is Decreasing Because of Growing Urban Estates, Multiple Cropping Patterns and Excessive Water Use for Irrigation/agriculture

India is seeing a significant reduction in groundwater levels, attributed to changes in agricultural techniques, urbanization, and unsustainable water exploitation. This puts agriculture, the security of the water supply, and the daily lives of nearly 1.5 billion people in danger. The study explores the varied terrain of India, the different types of soil, and how heat waves and rainfall patterns are affected by climate change. The water crises in Chennai and Bengaluru highlight the need for strict water management techniques in the socioeconomic environment. In addition, the health consequences of tainted groundwater, which may contain dangerous substances like arsenic and chromium, demand prompt attention for appropriate disposal and surveillance to protect the public's health and welfare.