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Black caraway (Bunium persicum Boiss. Fedtsch ) commonly known as kala zeera is a low volume,  high value, under-exploited and  non-perishable crop that finds place  in cold arid  North -Western Himalayan regions of Indian sub-continent. Its fruits are expensive spice and are used in indigenous system of medicine for curing various ailments and disorders. The proper information on botanical identity of the species, its description and distribution, active ingredients, standardized agro-techniques, processing and value addition and marketing potentials, etc. are very scanty. An attempt has been made to gather information on various aspects of kala zeera to promote its cultivation in the cold arid regions of the Himalayan states and its role in improving the socio-economic conditions of the people by cultivating the cash crop.

Introduction

Biomass is a major source of energy in developing countries, particularly in India. Biomass as a fuel used in residential sector of India is a major component of total energy use in India. Type of fuels used in residential sector in India varies with locations and availability of the local fuels and also by way of cooking food in the open fires or in the rural cook stoves (Earthen Chulhas). The majority of the household in the rural sector of the developing countries burns the biomass fuel under traditional open stoves or in advanced closed cook stove (Fullerton et al., 2008). Biomass fuel includes any material of plant or animal origin, which is deliberately burnt by the human being. Approximately, 2 billion people in the developing world use the biomass fuel as the major source of domestic energy (Balakrishnan et al., 2002). Out of residential fuels, 80-90% of the energy requirement in rural India are met with the use of biomass in the form of fuel wood, dung cakes, charcoal and agricultural residue (TEDDY, 2007). Burning of biomass from all these sources is well known to be associated with the emission of smoke/plumes consisting of particulate and gaseous species as these are not energy efficient processes and thus the fuels are not burnt completely. The species emitted and their concentrations depend on the nature of the source of biomass and other factors including the physical parameters associated with the consumption of the biomass. The fate of the initial fire emissions depends strongly on both their composition and the regional state of the atmosphere. Once airborne, the particles begin to grow slightly in size as they age through condensation and coagulation. Despite their high concentrations and widespread distribution in the atmosphere, the sources remain poorly characterized. Biomass burning has drawn global concerns in the past decades for its effects on visibility, human health and global climate by emitting particulate matter (PM) and other gaseous pollutants (Andreae et al., 2005). Biomass burning emits significant global source of PM emissions to the troposphere which leads to deleterious impact on the earth’s atmosphere. It has an impact on the chemical composition of the atmosphere, the formation of photo oxidants and thus on air quality on a regional scale and climate change (Andreae et al., 2005). They also have harmful impact on human health, natural environment and ecological system (Cheng et al., 2000). The various impacts of these emissions have been well studied by Cheng et al. (2000) and Bardouki et al. (2003). Interest in this topic grew when several studies suggested that biomass burning emissions could rival fossil fuel emissions (Crutzen and Andreae, 1990). Biomass burning has received considerable interest (Bowman et al., 2009).

With the invention of bitcoin in 2008, the world was exposed to a new technology paradigm called blockchain. Blockchain was conceptualized by an unknown person named as Satoshi Nakamoto in 2008. The identity of Satoshi Nakamoto is still not known. Nakamoto proposed the design of blockchain which uses digital signature and timestamps to enable secure and trusted online transaction without the need of any trusted regulatory or third party.

The Indian Himalayan region is a well known abode to numerous plants of medicinal significance. The Western Himalayan ranges are home to a diverse flora of variety of endemic medicinal plants making it a biodiversity-rich region (Samant et al., 1998).  The ancient system of traditional medicines has been using these endemic medicinal plants since time immemorial. Of late the resurgence of herbal system of medication has led to an unprecedented rise in extraction of such plants from the wild for medical preparations. Most of the times the plant collection is unscientific and unthoughtful of ecological status of the medicinal plant, especially herbs. As a result, unplanned collection and other human interferences have brought a threat to survival of several important medicinal plants of the IHR an  example being  Brahmakamal.

Introduction

Man’s intervention in the evolution of plants, to adapt them to suit his needs, constitutes the practice of plant breeding. Historically regarded as an art and still too empirical to be accepted universally as a science, it has recently been described as a technology (Riley 1978). Whether art, science or technology, it certainly draws on a wide range of disciplines and embodies all those principles of organisation and management that determine success in any production-oriented programme.

Perhaps the biggest contribution that the plant breeder has made to increased production during the past 50 years has been in helping to alleviate the effects of natural hazards such as lodging, pests and diseases on crop production. While most of this progress has been through the manipulation of biotic stresses, much is still to be achieved under non-biotic stresses such as drought, salinity, temperature, etc. This argument is strengthened by the fact that in spite of the spectacular achievements made possible by the ‘Green Revolution’, the productivity level of most crop plants, including wheat and rice, has remained both low and static under stress conditions. Concerted efforts are needed through an approach of interdisciplinary research, since not much has been done to define criteria for stress assessment and evolving breeding approaches for incorporating stress tolerance in crop plants.

Expression of genetic potential for growth and yield of a crop variety is directly dependent upon the environment comprising both climate (weather) and soil components. As discussed in the preceding chapter, the term ‘salt-affected soils’ encompasses a broad group of adverse but distinct soil conditions, namely, saline, alkali (sodic) and acid soils with further variations such as coastal and inland locations as well as arid and water-logged situations (Swaminathan 1977; Bresler et al. 1982). Factors limiting growth and yield of crop plants in various categories of problem soils are different and specific. Likewise, adaptive strategies evolved by plants to cope with the prevailing edaphic stresses, such as salt stress, also vary a great deal as indicated in Table 1. It is not unexpected therefore, that even varieties within a crop often show notable differences regarding tolerance to adverse soil conditions (Epstein et al. 1980; Devine 1982; Shannon 1984; Sayed 1985). Hence, it is essential that the breeder must understand the inherent charaderistics of the problem soil with which he is concerned and should also simultaneously appreciate that basically it is the sensitivity of crop variety, rather than the soil parameters per se, that essentially determines the occurrence as well as the magnitude of actual soil problem (Rana 1977). Since the degree of tolerance (adaptation) of crop varieties to different kinds of salt affected soils is genetically controlled, it is axiomatic that it can be improved through genetic manipulations by adopting suitable breeding procedures.

Broad dhaniya (Eryngium foetidum L.: Umbelliferae - Apiaceae) is an underutilized leafy vegetable and aromatic plant used for seasoning food items and source of medicine. It is a shade loving plant of tropical regions.  It has got status of a promising cash crop with huge export potential particularly in United Kingdom, USA and Middle East markets. Its medicinal and seasoning properties are well known in various countries like Vietnam, India and in the Amazon region (De Gumao et al., 2002). Broad dhaniya is relatively unknown in many other parts of the world and is often mistaken and misnamed for its close relative Coriander (Coriandrum sativum L.).

1. Introduction
 
The bryophytes are found everywhere in the world except in the sea. They grow on wet soil or rock, the trunk of trees, in lake, river and even in Antarctic island. The bryophytes are placed taxonomically between algae (Fig. 1) and pteridophytes (Fig. 2); there are about 24,000 species in the world. They are further divided into three phyla, Bryophyta (mosses 14,000 species, Fig. 3), Marchantiophyta (liverworts 6,000 species, Fig.4a,b) and Anthocerotophyta (hornworts 300 species, Fig. 5). They are considered to be the oldest terrestrial plants, although no strong scientific evidence for this has appeared in the literature. This hypothesis was mainly based on the resemblance of the present-day liverworts to the first land plant fossils, the spores of which date back to almost 500 million years. Among the bryophytes almost all liverworts possess beautiful cellular oil bodies (Fig. 6) which are peculiar, membrane-bound cell organelles which consist of ethereal terpenoids and aromatic oils suspended in carbohydrates- or protein-rich matrix, while the other two phyla do not. These oil bodies are very important biological markers for the taxonomy in the Marchantiophyta (Asakawa, 1982, 1995; Asakawa et al., 1979b, 2008c, 2012b, 2013a,b; Asakawa and Ludwiczuk, 2008a,b; Ludwiczuk and Asakawa, 2010).

Introduction 
Having explored the fundamental principles and various types of elementary crop growth models in the previous chapter, we now arrive at a pivotal juncture in their journey from theoretical constructs to practical, dependable tools. It‘s one thing to conceptualize and build a mathematical representation of crop growth; it‘s quite another to ensure that this model accurately reflects realworld plant behavior and can be reliably used for predicting outcomes and informing critical agricultural decisions. This chapter, Calibration, Validation, Verification, and Sensitivity of Elementary Crop Models,” will guide you through the indispensable processes that establish a model‘s credibility and utility. We will delve into the systematic steps involved in calibration, where we meticulously fine-tune a model‘s parameters to accurately reflect a specific crop‘s response within a particular environment, effectively adapting the general model to local conditions. Following this, we will explore validation, a rigorous process of independently testing the model‘s predictive power against datasets not used during calibration, ensuring its robustness and generalizability. Beyond accuracy, we will also cover verification, which confirms the model‘s logical consistency and computational correctness, ensuring that its internal workings are sound. Finally, we will examine sensitivity analysis, a crucial technique for understanding how changes in various input factors—especially weather parameters—or internal model coefficients influence the model‘s outputs, thereby revealing the model‘s critical drivers and potential vulnerabilities. These four processes are far more than mere technical formalities; they form the bedrock upon which the utility, accuracy, and trustworthiness of any crop model, no matter how elementary, are firmly built. By engaging with these essential steps, we can transform theoretical frameworks into powerful instruments capable of supporting sustainable agricultural planning, risk management, and adaptive strategies in a dynamic climate.

Abstract

Traditionally remote sensing technology has been widely used in the mapping and change detection of vegetation features. Of late research has shown that remote sensing technology can be successfully employed for retrieval of biophysical parameters of vegetation, either by statistical techniques or by employing radiative transfer models (RTMs). This paper gives an introduction to leaf and canopy RTMs, especially about PROSAIL, which is the most commonly used model. It reviews different techniques for inverting RTM models, their merits and performance comparison. The main techniques briefly described are iterative optimization, look-up table, artificial neural network, genetic algorithm and support vector machine. At the end, it gives examples of applications which use canopy biophysical parameters retrieved by inverting RTM.

Keywords: Radiative transfer, PROSAIL, Inversion, Vegetation

1.0 Introduction

Accurate quantitative estimation of vegetation biophysical variables is useful for a large variety of agricultural, ecological, and meteorological applications (Houborg et al., 2007). The spatial and temporal distribution of these variables are important inputs into models quantifying the exchange of energy and matter between the land surface and the atmosphere, developing better yield prediction models and detecting abiotic stresses at regional scales. Among the many vegetation characteristics leaf area index, leaf chlorophyll content and leaf water content are of prime importance (Bacour et al., 2006; Houborg et al., 2007).

15.1 Introduction

There is now adequate evidence about the impending global climate change and the consequences thereof. The fourth assessment report of IPCC observed that ‘warming of climate system is now unequivocal, as is now evident from observations of increase in global average air and ocean temperatures, widespread melting of snow and ice, and rising global sea level’ (IPCC, 2007). Though climate change is global in its occurrence and consequences, it is the developing countries like India that are likely to face more adverse consequences. Globally, climate change is seen as a failure of market mechanisms wherein the polluters haven’t had to pay for the negative externalities (Stern, 2007) that their economic activities caused.

Abstract

Cultivation of cash crops of good quality potent to give good economic returns depends largely upon adoption of modern practices in agriculture. The region under test consideration is completely irrigated and cultivates mostly the crops of grapes and sugarcane. A field testing that was carried out for the pumps used by local farmers, revealed glaring inefficiency in pump operation. This is attributed to numerous reasons, the standout of them-being improper pump selection and deviation from operating point. Survey of the farming pattern helped to establish nexus between the energy usages per acre for the two crops. Carbon Footprint was determined for the electricity utilized in these farms. Adoption of selection methodologies and efficient practices would lead to considerable saving in electrical power consumption. The impact of adoption of efficient practices was therefore quantified.

Keywords: Agriculture, Carbon Footprint, Pumps

14.1 Introduction

Atmospheric concentration of CO₂ has increased from 280 ppm in pre-industrial era to 385 ppm in 2008 (+ 37.5%) and is presently increasing at the rate of 2 ppm yr^-1 or 3.5 Pg yr^-1 (1 Pg or petagram = 1 Gt = 1 gigaton = 1 billion metric ton). The increase in CO₂ emission by human activity is attributed to fossil fuel combustion, deforestation and biomass burning, soil cultivation and drainage of wetlands or peat soils. Increase in fossil fuel combustion is caused by high global energy demand of 475 Quads (1 quad = 1015 BTU) and increasing at the rate of 2.5 % yr^-1, especially in emerging economies including China, India, Mexico, Brazil, etc. The world population of 6.7 billion in 2008 is increasing at the rate of 1.3 % yr^-1 and is projected to be 9.5 billion by 2050 before stabilizing at 10 billion towards the end of the 21^st century. There exists a strong positive correlation between population growth on the one hand and CO₂ emission or the energy demand on the other. The People’s Republic of China accounted for 13% of the world’s C emissions in 2002 and that share is projected to rise to 18% by 2025 (Lal, 2004a).

Crop performance depends on how closely environmental conditions match genetic requirements. Cardinal temperatures define the minimum, optimum and maximum thresholds within which germination, growth and development occur. This chapter explains these thresholds and presents their relevance to major crops. It also examines rainfall, sunshine, humidity, photoperiod and other agroclimatic requirements determining where and when crops can be cultivated successfully. Knowledge of crop-specific requirements supports agroclimatic zoning, variety selection, sowing-date adjustment and assessment of climate-change impacts. Matching crops and cultivars to suitable environmental conditions reduces weather-related risk, improves resource efficiency and helps realize crop-yield potential under present and changing climatic conditions.

Cartography has much back history than what we seen in portable form by its name or definition. Many prehistoric painting of caves had their own time frame record of maps, artifacts and design have been preserved hoping that they are sufficient to the era of forgotten habit and culture, and treasure explicit ancient world. The ancient wall painting of seventh millenium BC, might have indication of oldest maps in the world and the painting is assumed to be the location of ancient city Antolia as Mellaart, depicted 1967. Onward 600 BC, the modern form of cartography started to develop map. The pioneer contribution in map designing and development, old Greek and Roman were main contributor in this direction. One Greek Philoshopher Ptolemmy, multi-talented genius are recalled in this context, who later credited with first documented map of world during production of Geographica, is a treatise on cartography, very soon one Arabian Scholar Muhammad Al-Idrisi prepared a medieval Atlas involving knowledge of world collected by Arabic merchants in 1154.

Climate-resilient rural development is a critical priority for CMCs, given their vulnerability to climate change impacts such as floods, droughts, cyclones, and rising temperatures. This note explores case studies and success stories from some of the CMCs, highlighting innovative approaches, community- driven initiatives, and policy interventions that enhance climate resilience in rural areas. The examples draw from documented projects, emphasizing practical outcomes and lessons learned. Case studies of specific CMCs 1. Bangladesh: Saemaul Zero Hunger Communities (SZHC) Project In central Bangladesh, the Saemaul Zero Hunger Communities (SZHC) project (2014-2017) focused on 19 flood-prone villages to strengthen resilience to climate shocks and improve food security (UNDP, 2018). Implemented in collaboration with local communities

6.1 Introduction
The success of design thinking depends on its applicability in industries and service organization. The applications of design thinking applied to product development should focus on the needs of users. The design thinking can also be applied to design new processes as well as improve an existing process.
6.2 Case Studies
The section presents several case studies of applying design thinking in realities as listed below.
1. Design thinking in eye care
2. Design thinking in foundry
3. Design thinking in FMG company
4. Design thinking in auto industry
5. Design thinking at retail outlet
6. Design Thinking in Flight Reservation System
7. Design thinking in winding fabric on roller in textile mill
6.2.1 Case study: Design Thinking in Eye Care
Eye care is a crucial part of health care system. There are many factors that are responsible for poor eye vision. Normally in the early stages, viz. children and adults up to 40 or 45 years of age may have eye power issues, which are managed

Agricultural meteorology stands as a cornerstone discipline in ensuring global food security, optimizing resource utilization, and fostering sustainable agricultural practices. In an era marked by increasing climate variability and the profound impacts of long-term climate change, the need for a dynamic and forward-thinking research agenda in this field has never been more critical. This chapter serves as a roadmap, outlining a comprehensive research agenda for the new generation of agricultural meteorologists, one that directly confronts the escalating challenges while strategically capitalizing on the unprecedented opportunities offered by technological advancements and enhanced data availability.
• The complexities introduced by a rapidly changing climate – characterized by more frequent and intense extreme weather events, shifts in growing seasons, and altered pest and disease patterns – demand innovative research approaches. Simultaneously, breakthroughs in sensor technology, remote sensing capabilities, data analytics, artificial intelligence, and communication platforms present unprecedented opportunities to revolutionize how we monitor, understand, predict, and respond to the intricate interactions between weather, climate, and agricultural systems.
• A well-defined and meticulously managed research agenda is paramount to effectively channel our collective scientific efforts. It provides a framework for identifying critical knowledge gaps, prioritizing research endeavors, fostering collaboration across disciplines, and ultimately, maximizing the impact of our investigations. Strategic research management ensures the efficient allocation of resources, promotes rigorous scientific inquiry, facilitates the seamless translation of research findings into practical, onthe- ground solutions, and informs evidence-based policy decisions that can bolster the resilience and productivity of the agricultural sector.
• Recognizing the diverse ecosystem of researchers who contribute to the advancement of agricultural meteorology, it is imperative to delineate specific research areas that are both relevant and achievable for individuals at various stages of their academic and professional journeys. This chapter will therefore provide a clear demarcation of research avenues suitable for Masters students seeking foundational research experiences, doctoral

Introduction: Indoor Air Pollution

People think that while they are indoors, they are breathing clean air. After all, pollution is found outside, and indoor air is filtered through the HVAC system.

Indoor air can have significantly higher concentrations of pollution than air found outside. Plenty of evidences exists. Global Burden of Disease Risk lists indoor air pollution as the ninth biggest health risk.