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The contamination of groundwater by natural arsenic is currently a worldwide epidemic. Arsenic-contaminated groundwater has been reported in Argentina, Chile, Mexico, China, Hungary, West Bengal in India, Bangladesh, and Vietnam. Of these regions, Bangladesh and West Bengal are the most seriously affected in terms of the size of the population at risk and magnitude of health problems. Hence, chronic exposure to arsenic >50′′μg/L in drinking water can result in serious health problems. Common symptoms of arsenic-related ailments are skin, cardiovascular, renal, hematological, and respiratory disorders. Therefore, this chapter focuses on nature, origin, and extent of groundwater arsenic contamination, probable causes, and its impacts on food, drinking water, and social coverage. It further discloses mitigation approaches proposed and practiced by the different research groups to combat this problem and finally concludes.

Internet of Things (IoT) and artificial intelligence are two leading technologies that bought revolution to each and every field of humans using in daily life by making everything smarter than ever. IoT leads to a network of things which creates a self-configuring network. Improving farm productivity is essential to meet the rapidly growing demand for food. In this chapter, the authors have introduced a smart greenhouse by integration of two leading technologies in the market (i.e., Machine Learning and IoT). In proposed model, several sensors are used for data collection and managing the environment of greenhouse. The idea is to propose an IoT and Machine Learning based smart nursery that helps in healthy growing and monitoring of the seed. The structure will be a dome-like structure for observation and isolation of an egg with various sensors like pressure, humidity, temperature, light, moisture, conductivity, air quality, etc. to monitor the nursery internal environment and maintain the control and flow of water and other minerals inside the nursery. The nursery will have a solar panel from which it stores the electricity generated from the sun, a small fan to control the flow of air and pressure. A camera will also be equipped inside the nursery that will use computer vision technology to monitor the health of the plant and will be trained on the past data to notify the user if the plant is diseased or need attention.

Biosolids, the residual solids from wastewater treatment operations and once considered a waste product by the industry, are now becoming increasingly recognised as a multifunctional resource with growing opportunities for marketable use. This shift in attitude towards biosolids management is spurred on by increasing volatility in energy, fertilizer and commodity markets as well as moves by the global community towards mitigating global warming and the effects of climate change. This chapter will provide an overview of current global biosolids practices (paired with a number of Australian examples) as well as discuss potential future uses of biosolids. Additionally, present and future risks and opportunities of biosolids use are highlighted, including potential policy implications.

Chapter 4 presents the research into the attributes of a stimulus, which the brain uses to construct a perception of the external stimulus. The processes used in all five senses are examined and compiled into a collective model of the processes the perceptual system uses to discriminate and understand an external stimulus. While there are many commonalities across the senses, the structure of the discipline (energy) each system processes yields unique insights into the processes of the total system.

Sri Lanka, as an island located near the southern tip of India and the Asian Continent and in the core area of the South Asian Monsoon has developed its own unique forms of Hydraulic Civilization. Sri Lanka is covered with a network of thousands of man-made lakes and ponds, known locally as “tanks,” numbering more than 25,000. Some are in the functional mode and others still remaining abandoned type. Many are thousands of years old and almost all show a high degree of sophistication in their construction and design. Sri Lanka's tanks are fascinatingly distributed in the cascades of tanks one below the other conserving water and soil and most effectively, acting as buffers against droughts while giving due consideration to maintaining the ecosystem equilibrium.

South Asia, home to one-fifth of humanity, perennially has been a disaster-prone region. In 2007, for instance, the Centre for Research on the Epidemiology of Disasters (CRED) reported that out of the top five countries in the world hit hardest by natural disasters, the first two were Bangladesh and India, while Pakistan occupied the fourth position (CRED Crunch, 2008). This was not an exceptional year but generally has been the trend, which highlights the comparative vulnerability of the region to disasters. Two-thirds of the disasters the region experiences are climate related and there have been phenomenal increases in their frequency, severity, and unpredictability in recent times. The severest impacts have been in terms of sea-level rise leading to submergence of low-lying coastal areas and depletion of Himalayan glaciers, threatening the perennial rivers that sustain the food, water, energy, and environmental security of the region. Climate change is surely creating grounds for newer and more severe risks of disasters in the region in the coming years.

The major component of agriculture production includes the type of seed, soil, climatic conditions, irrigation pattern, fertilizer, weed control, and technology used. Soil is one of the prime elements in modern times for agriculture. Soil is also one of the primary and important factors for crop production. The available soil nutrient status and external applications of fertilizers decide the growth of crop productivity (Annoymous, 2017). The upcoming research question that needs to be addressed is What is the application of soil data on soil health management for sustaining agriculture? Driven by the need, the aim of the present study is (a) to explore the soil parameters of a district, (b) compare the values with the standards, and (c) pave a way for mapping the crops with suitability of soil health. This study will not only be beneficial for the district to take appropriate steps to improve the soil health but also would help in understanding the causal relationship among soil health parameters, cropping pattern, and crop productivity.