eChapters

1. Introduction
Dyes are compounds after addition to a substrate, for a moment give it a colorthrough a process that modifies the colored substance’s crystal structure (Bafanaet al., 2011). Such varieties of compounds with significant coloring capacityare widely employed in the textile, pharmaceutical, food, photographic, andpaper industries (Zollinger et al., 1987). Dyes can adhere to suitable surfacesthrough methods such as dissolving, forming covalent bonds, complexing withsalts or metals, physically adsorbing, or being mechanically retained (Kirkand Othmer, 2004). The chemical structure and application of dyes determine
their classification. The dye color is produced by a collection of atoms calledchromophores. Chromophore centres, which are responsible for color, consistof various functional groups like azo, anthraquinone,methine, nitro, arylmethane, carbonyl, and others. Additionally, substituents that either donateor withdraw electrons to enhance or create the color of these chromophoresare called auxochromes. Common examples of auxochromes include amine,carboxyl, sulfonate, and hydroxyl groups. There are three methods for dyingtextile materials: batch, continuous, and semi-continuous. Thekind of materialincluding yarn, fabric, fiber, clothing, and fabric structure as well as the generalfiber size of the dye lot, type, and quality standards of the dyed fabric, all playa role in determining the dyeing method used. Among these techniques, theprocess called the batch procedure is the most frequently employed for dyeingtextile materials. (Ogugbue et al., 2011).

1. Introduction
Oil spills are defined as the unintentional release of liquid petroleum hydrocarbons into the environment, predominantly impacting marine ecosystems. This form of pollution, often caused by human activities, can also occur onterrestrial landscapes. Spills typically result from the discharge of crude oilfrom sources such as tankers, offshore platforms, drilling rigs, and wells, aswell as from refined petroleum products like gasoline and diesel (Smith etal., 2019). While such incidents are primarily accidental, they may arise fromvarious circumstances, including inadequate storage or poor maintenance,leading tocontainerleaks. Historically, one of the earliest documented oil spillsoccurred in 1907 in Batum, a region then part of the Russian Empire (moderndayBatumi, Georgia). This incident, involving a collision between an oil-ladenship and another vessel in the Black Sea, marked the beginning of recorded oilspill events, though historical records from that time remain limited (Johnsonet al., 2021). The consequences of oil spills are profound, affecting both theenvironment and the economy. On the ocean’s surface, oil disrupts aquaticecosystems by blocking sunlight penetration and depleting dissolved oxygenlevels, which are vital for marine life. Crude oil compromises the insulating andwaterproofing properties of fur and feathers, leading to hypothermia and deathin oil-coated birds and marine mammals. Additionally, ingesting oil can causeseveretoxicity, while damage to habitats and reproductive systems often delaysthe long-term recovery of affected species. Coastal vegetation, particularly inecosystems such as saltwater marshes and mangroves, is also highly vulnerable

1. Introduction
Water is the most essential resource for life, supporting the survival of allliving beings, including humans, and playing a crucial role in food productionand economic progress. Currently, many cities around theworld are facingsignificant water shortages. About 40 % of global food production dependson irrigation, and countless industrial operations rely heavily on water. Theavailability and quality of water, whether surface or groundwater, have amajor impact on environmental health, economic development, and societagrowth. Human activities like urban expansion, population increase, industrialoutput, and climate shifts are causing a decline in water quality. As nationsdevelop, industrial activities increasingly lead to the pollution of watersources, resulting in negative consequences such as widespread disease and
diminished beauty of water bodies. This pollution is a significant threat toboth the planet and its inhabitants. Higher temperatures are interfering with themetabolic processes of aquatic life, while changes in water pH create unstableconditions. Additionally, increased cloudiness in water reduces oxygen levels,affecting deep-water species and contributing to health issues for both animalsand humans. Polluted water also hinders growth and development in allliving organisms Haldar et al., 2015 and Arif et al., 2020. A study conductedby Halder et al. (2015) highlighted severe health challenges faced bylocalcommunities due to pollution in the Turag River, Dhaka, caused by thedischarge of untreated wastewater into the river. It was revealed that elevatedpH levels in the water, resulting from the use ofcaustic chemicals such assoda ash and caustic soda in industrial processes, were associated with skinirritation and sores. Dietary exposure to polluted crops and fish was found
to contribute to stomach ailments, including gastric ulcers. Concerns wereraised about potential groundwater contamination through the infiltration ofindustrial waste. Microbial contamination was identified as a likely cause ofdiarrhoea and dysentery. The use of river water for bathing and laundry wasobserved to facilitate the spread of waterborne diseases. Outbreaks of yellow
fever, cholera, dengue, malaria, and other epidemics were noted as prevalent inthe area. Respiratory problems and foul odours were attributed to air pollutioncaused by industrial discharge. Maternal and child health in riverbank slumsfound to be vulnerable, emphasizing the urgent need for interventions to addressthese public health concerns.Wastewater produced by industries, agriculture,and domestic activities contains high levels of nutrients, heavy metals, andchemicals, which harm the environment by polluting land, air, and water,

1. Introduction
Pharmaceutical pollution has emerged as a significant global concern, raising alarms about its potential impacts on ecosystems and human health. The journey of pharmaceutical compounds from their point of use to contamination of water bodies reveals a complex and interconnected web of anthropogenic activities. From manufacturing plants to individual households, these pollutants persistently infiltrate aquatic systems, creating a growing

1. Introduction
Since plastic was discovered, global plastic production for industrial scale usages has grown exponentially, causing a tremendous increase in plastic waste from a few tons in the 1950's to almost 400 million tons in 2018 (Syberg et al. 2021). Plastic is non-biodegradable and ubiquitous.

Environmental degradation of plastic operates through a mechanism ofphysical fragmentation, photodegradation and microbial degradation (Wright
et al., 2020), resulting in fragmentation of larger plastics into smaller plasticparticles, also called microplastics and nanoplastics (MNPs). These debris areserious environmental threats (Hartmann et al., 2019).

1. Introduction
The term “plastic” is derived from the Greek word “Plasticos" whichmeans to be capable of molding into various sizes and shapes. Daily usedsynthetic plastics are categorized based on their physical and chemicalproperties, such as thermoplastic and thermosetting. (i) Thermoplastics: Astheir names suggest, thermoplastic polymers melt and turn into a plastic orrubbery state when exposed to heat. They have various numbers of polymericchains and are the most widely used plastics in day-to-day life. Examples ofthermoplastics are Polystyrene(PS), Polyvinylchloride (PVC), Polypropylene(PP), Polyethylene Terephthalate (PET), Polyethylene (PE) etc. (Massy,2017), (Sharma et al., 2017). (ii) Thermosetting polymers: As the namesuggests, they set or harden permanently when heated (Massy, 2017). Due totheirstrong crosslinked structure, they are non-recyclable polymers. Examplesinclude Polyurethanes(PUR), Phenol formaldehyde, Melamine formaldehyde,and Polyester Resin (PR) (Sharma et al., 2017). Different polymers and theirapplications are illustrated in Fig. 1.

1. Introduction
Plastic pollution is a global problem that requires immediate attention due toits negative impacts on ecosystems, infrastructure, (MacLeod, M., Arp et al.2021) society, and the economy (Honingh, D. et al.,2020).In terms of absolute emissions, we find that South-eastern part of Asia, andSub-Saharan part of Africa possess the greatest quantities of plastic pollution,with India emitting the most (9.3 Mt year−1), or about one-fifth of the world'stotal plastic pollution (Joshua W. Cottom et al.).
Future regulations pertaining to the manufacturer, usage, and getting ridof plastics will be influenced by the discussions for a worldwide plasticpollution treaty. A baseline with great resolution of waste flows and sourcesof plastic emissions will be useful for the stakeholders in order to identify
pollution hotspots and the reasons behind them (United Nations EnvironmentProgramme). Furthermore, in addition to the production of municipal waste,the pandemic of coronavirus illness has raised the usage of disposable polymerproducts, masks, tissues, gloves, and additional personal protection equipment,which made the plastic pollution disaster worse (De-la-Torre GE et al., 2021).Wasted plastics can break down and fragment into three different sizes: 1mm to 5 mm big microplastics, 1 μm to 1 mm microplastics, and 1 nm to1 μm nano plastics, (Waller et al., 2017; De-la-Torre 2020; Atugoda et al.,
2022) being exposed to ultraviolet (UV) light and other processes that causeenvironmental damage

1. Introduction to Biomedical Waste (BMW)
The waste produced at different medical facilities, including hospitals,laboratories, research centers, mortuaries, and autopsy centers is considered asBiomedical Waste (BMW). Some of the BMW is hazardous whereas some arenon-hazardous in nature. Hazardous waste includes, Infectious, Pathological,Microbiological, Pharmaceutical, Chemical, Cytotoxic and Radioactive wastematerial as described by World Health Organization (Fig. 1). Healthcarepersonnel and the general public are at risk from physical, chemical, andmicrobiological effects of hazardous waste. On the other hand, the nonhazardousBMW which are not harmful, include packaging material made upof plastic & thermocol, cardboards, paper waste etc. (Capoor & Parida, 2021).

1. Introduction
The environment and human health are seriously threatened by contaminants,both organic and inorganic, whose prevalence and persistence have beensteadily rising in recent years. In addition to propelling economic and scientificadvancement, the industrial revolutions of the 19th and 20th centuries have alsoled to widespread pollution (Wuana & Okieimen, 2011; Singh et al., 2013).Industrial activity has increased trace metal concentrations in the environment,with sediments acting as key sources and reservoirs for heavy metals. Thesemetals build up in soils and aquatic bodies as a result of scouring, erosion,rainfallleaching, wastewater discharge, and atmospheric deposition (AlonsoCastillo et al., 2013). Additionally, toxic contaminants like phenols, industrialeffluents, domestic wastewater, agricultural runoff, fly ash, fertilizers, andwaste from insecticides, pesticides, and pharmaceutical industries infiltratethe environment and food chain via mechanisms such as bioaccumulation,biomagnification, and bioconcentration (Arora & Bae, 2014; Azubuike et al.,2016).

1. Introduction
It is the need of the hour that disposal of radioactive wastes be taken seriouslyand given appropriate attention. We house around one million gallons of liquidradioactive waste awaiting remediation at U.S. Department of Energy’s HanfordReservation alone (Parshley & McDermott, 2021). Not only the numbers are
but the increasing demand of nuclear energy paves the way forgeneration of even more radioactive waste in future. The conventional methodshave certain limitations. Ion-exchange resins have reported to bedegradedunder high radiation and chemical precipitation has proven to be ineffectivein treating low concentration of radionuclides found in groundwater, posingrisk for centuries (Zhang & Liu, 2020). Remediation methods including soil

Agriculture remains the primary livelihood for much of South Asia, underpinning food security, rural incomes, and economic stability. Despite its pivotal role, the sector has historically been constrained by low productivity, fragmented supply chains, significant post-harvest losses, and limited access to markets and institutional finance (FAO, 2023).Over the last decade, a rapid expansion of technology-driven agritech startups across South Asia- particularly in India- has sought to address these systemic gaps. By deploying artificial intelligence (AI), the Internet of Things (IoT), machine learning (ML), blockchain, drones, and renewable energy, these enterprises are reshaping agricultural value chains, enhancing resilience, and creating measurable socio-economic impact. Following are some of the promising areas where startups have shaped rural economies

2.1 Mulkanoor Cooperative Society: An Introduction The Mulkanoor Cooperative Rural Credit and Marketing Society, established in 1956, in Mulkanoor village of today’s Telangana state of India, stands as a beacon of rural transformation. Post-independence, Shri A.K. Vishwanatha Reddy- a freedom fighter- envisioned a better future for farmers. His vision materialized through the formation of the Mulkanoor Cooperative Society, initially with 373 members and a modest share capital of ?2,300. The society has now grown to encompass 7,650 members, ?18 crores in share capital, and ?45 crores in thrift deposits, and offers a wide

Kudumbashree, is the flagship poverty eradication and women’s empowerment programme, of the Government of Kerala, and is one of India’s most successful community development missions. Launched in 1998 by the Government of Kerala in collaboration with NABARD and the Government of India, Kudumbashree operates through a unique three-tier community network that connects millions of women across the state. Its model- built on economic empowerment, social inclusion, and participatory governance- has become a benchmark for women-led development both nationally and internationally. At the foundation of Kudumbashree lies its grassroots structure: the Neighbourhood Group (NHG) of 10–20 women; the Area Development Society (ADS) at ward level; and the Community Development Society (CDS) at the panchayat level. This federated network enables women to mobilize

Python has emerged as one of the most popular and versatile programming languages in the contemporary world of computing. Developed by Guido van Rossum and first released in 1991, Python was designed with a clear emphasis on simplicity, readability, and ease of use. Its syntax closely resembles natural language, making it an ideal choice for beginners as well as experienced programmers. Over the years, Python has evolved into a powerful, high-level language that supports multiple programming paradigms, including procedural, object-oriented, and functional programming. One of the defining features of Python is its readability and clean structure, which allows developers to write clear and concise code. Unlike many other programming languages that rely heavily on complex syntax and punctuation, Python uses indentation to define code blocks, promoting better organization and reducing the likelihood of errors. This design philosophy not only enhances code clarity but also encourages good programming practices,

SQL, or Structured Query Language, is a fundamental component in the domains of Machine Learning and Artificial Intelligence, serving as a powerful tool for managing, retrieving, and manipulating data stored in relational databases. In an era where data drives intelligent systems, SQL plays a crucial role in preparing and organizing datasets that form the backbone of machine learning models and AI applications. Its ability to efficiently handle large volumes of structured data makes it indispensable for data scientists, analysts, and engineers working in these fields. Originally developed in the 1970s at IBM by researchers Donald D. Chamberlin and Raymond F. Boyce, SQL was designed to provide a standardized way to interact with relational databases. Over time,

Data cleaning is one of the most important parts of machine learning. It plays an important role in building a machine learning model. Data quality is a significant aspect to train the ML model. Inaccurate data can have an impact on results. Data quality problems can occur anywhere in information systems. A technique that helps to convert improper data into meaningful data. Machine Learning is datadriven. With the data cleaning techniques, your Machine Learning model will perform better. So, it is important to process data before use. Without quality data, it is unwise to expect a correct output. Data cleaning refers to identifying and correcting errors in the dataset that may negatively impact a predictive model. It is used to refer to all kinds of tasks and activities to detect and repair errors in the data. These problems can be solved by using various data cleaning techniques. The process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. When combining multiple data

A machine learning model is a program that can find patterns or make decisions from a previously unseen dataset. For example, in natural language processing, machine learning models can parse and correctly recognize the intent behind previously unheard sentences or combinations of words. In image recognition, a machine learning model can be taught to recognize objects - such as cars or dogs. A machine learning model can perform such tasks by having it ‘trained’ with a large dataset. During training, the machine learning algorithm is optimized to find certain patterns or outputs from the dataset, depending on the task. The output of this process - often a computer program with specific rules and data structures - is called a machine learning model. Machine Learning Model is a computational program that learns patterns from data and makes decisions or predictions on new, unseen data. It is created by training a machine learning algorithm on a

Dashboards play a crucial role in the fields of Machine Learning and Artificial Intelligence by providing a visual and interactive interface through which complex data, model outputs, and performance metrics can be easily understood and monitored. In data-driven environments, where vast amounts of information are processed continuously, dashboards serve as an essential bridge between technical systems and human decision-making. They transform raw data and analytical results into meaningful visual representations, enabling users to interpret insights quickly and effectively. In the context of Machine Learning and Artificial Intelligence, dashboards are used at multiple stages of the workflow. During data exploration and preprocessing, dashboards help visualize trends, patterns, and anomalies in datasets, allowing data scientists to make informed decisions about feature selection and data cleaning. Once models are developed, dashboards

The word “Veterinary” has originated from Latin “veter?n?rius” concerning draught animal and “Medicine” from Middle English, Middle French, Old French and Latin words meaning “healing”. Veterinary medicine is the offshoot of the medicine dealing with the diagnosis, treatment and prevention of diseases/disorders of all animal species including domestic, wild and exotic, companion, draught and pack animals. CONTRIBUTION OF VETERINARY MEDICINE • Reduction in number of cases of tuberculosis and brucellosis in human. • Development of safe and effective vaccines to prevent and control of animal diseases such as Rinderpest, Foot and mouth, Hemorrhagic septicemia, Black quarter,  Pox, Parvo, Distemper,

The concept of health and diseases is essential to veterinary medicine. Understanding    of    such    concepts    provides    the    basis    of    disease    classification. But     these     concepts     are     rarely     given     precise     definition     in     the     textbooks     of veterinary medicine. HEALTH Health is generally considered as absence of the disease. But it is an incomplete definition.    The    concept    of    health    can    be    split    into    five    categories    viz.    health as normality, health as biological function, health as homeostasis, health as physical and psychological wellbeing, and health as productivity including reproduction. Therefore an animal is stated to be healthy only when it is in a complete state of physical, social and mental wellbeing and not