eChapters

It is the scholastic and theoretical exercise that configures the operational definition and text of entire research work. The conceptual inputs, axiomatic inputs, logic of discourses and the pursuit knowledge come together to frame the theory in compliance and in congruence with the set of objectives and research designs spelt out in the research process.

3.1 Definition of Farmer, Farm, and Farming System

A farmer is a person engaged in agriculture, raising living organisms for food or raw materials. The term usually applies to people who do some combination of raising field crops, orchards, vineyards, poultry, or other livestock. A farmer might own the farm land or might work as a laborer on land owned by others. In most developed economies, a “farmer” is usually a farm owner (landowner), while employees of the farm are known as farm workers (or farmhands). However, in other older definitions a farmer was a person who promotes or improves the growth of plants, land or crops or raises animals (as livestock or f ish) by labor and attention. Over half a billion farmers are smallholders, most of whom are in developing countries, and who economically support almost two billion people. Globally, women constitute more than 40% of agricultural employees.

A farm is an area of land where livestock (animals) are raised and crops (plants) are grown for use as food, fiber, and fuel. The people who own and work on the farm are called farmers.

Whenever we design a scientific study it is designed in a specific contextual background to solve one or another scientific problem. Subsequently it also involves a set of variables/phenomenon operating in a particular context, set of relationships among these variables and the conditions under which they operate. Certainly, to address an unsolved scientific problem we need to carry out research by employing well defined research methodology and have an idea about possible outcomes.  For example when a extension scientist is asked to study the impact of a novel programme, he needs to understand the background and the context under which the programme was introduced, what are the developmental inputs given under the programme, to whom, when (variables), with what purpose (context), what kind of impact he/she is supposed to investigate (presumed relationship), what methods he is going to use to investigate the impact of developmental programme (research methodology) and what are the possible outcomes of the investigation and how programme interventions are related to the outcome (relationship).

Introduction

In recent years, there has been an exponential increase in the volume of datasets generated across various application domains. However, a prevalent issue within these datasets is class imbalance, wherein the distribution of samples is biased towards the major class, resulting in an extremely skewed dataset. Number of samples in the major class far exceeds those in the minor class, sometimes with an extreme ratio like 1/1000 or even higher. While traditional machine learning models trained on such imbalanced datasets often yield high accuracy for the overall dataset and the major class samples, their ability to correctly predict class labels for minor class samples is signicantly compromised. In many real-world scenarios, the minor class samples hold greater signicance and importance compared to the major class samples. Therefore, researchers are increasingly focusing on addressing the challenges posed by class imbalanced datasets and exploring solutions to improve the performance of machine learning models in handling such imbalances

Objectives
• Provide a comprehensive understanding of consonant sounds in English.
• Familiarize learners with the International Phonetic Alphabet (IPA) symbols for consonant sounds.
• Enhance pronunciation skills through the correct articulation of consonant sounds.
• Enable learners to distinguish between voiced and voiceless consonants
• Equip learners with practical examples to apply phonetic knowledge in speaking and listening effectively.
Introduction
Consonant sounds are an integral part of spoken English, contributing significantly to the clarity and intelligibility of speech. Unlike vowel sounds, consonants are produced with a degree of constriction or closure in the vocal tract, which modifies the airflow. These sounds can be categorized based on various parameters, such as their place of articulation, manner of articulation, and whether they are voiced or voiceless.
The International Phonetic Alphabet (IPA) provides a standardized set of symbols to represent these sounds, ensuring a consistent approach to learning pronunciation. Understanding consonant sounds and their IPA symbols allows learners to decode and produce words accurately, improving their overall communication skills.

Abstract

The present study was undertaken to analyse factors contributing to participation of rural women in Self Help Groups (SHGs), constraints faced by them and to elicit their opinion to strengthen the role of SHGs. The finding has revealed that, majority of the respondents has suggested that they should be provided with loans and the rate of interest on loans should be less.  Further, they also suggested that instead of existing loan structure from the bank and saving amount within the group must be increased which can be invested on other activities. It was also reasoned that the provision of low interest loan from the banks and purchase of raw materials at cheaper rate can improve the financial status of farm women.

ABSTRACT

Human resources are one of the most strategic and critical determinants of growth. A country cannot make rapid social and economic advancement unless it has enterprising people with necessary knowledge, skill and attitudes. Entrepreneurship development not only helps individual to become self reliant but also adds to wealth creation process, thereby paving the way to past growth and development of the nation. Rural entrepreneurship is required to capitalize on the opportunities available and to create job, mainly for rural youth and the farm family. In order to achieve this we are promoting mushroom production and processing as an enterprise for rural youths and farm family through their capacity building activities like training, consultancy, forward and backward linkages and to some extent by making available the much required inputs in the initial stages as the scenario of mushroom production in state is far from satisfactory. With the vast opportunities both at the international and national levels lying at the door steps of India, nothing less than a mushroom revolution in the coming decade will help to achieve the targets of nutritional security of people. During last year we have trained 215 farmwomen and youth in mushroom production and processing out of which 110 trainees started producing it at small scale and selling in the local market. Three villages of Patna district have been developed as “mushroom village” namely Sadikpur, Chaknawada and Mahmadpur. A sample of 100 mushroom growers of Patna district was taken for present investigation. All of them agreed that growing mushroom is a beneficial enterprise as it is capable of recycling agricultural wastes and generating employment opportunities. But, they revealed that important constraints in recommended practices of mushroom cultivation are spawn availability, perishable nature and marketing of mushroom in local villages because of poor infrastructural facility and lack of institutional finance available to them. So, in order to encourage mushroom Production at household level in villages, it is required to uplift farmers, initiating new applications, providing them with adequate marketing information and sufficient agri-business finance knowledge. Two of the most important problems in India, unemployment and malnutrition, will be addressed to a larger extent by promoting the cause of mushroom growing and its utilization as health food.

The problems of SHG are many and diversified. The problems vary from place to place and SHG to SHG. Then problems cluster is in relation to economic productivity, overall welfare and livelihood. As we observe since five decades after independence, resistance of people in the state of social, economic, political disempowerment is considered to measure hindrance to overall development. The SHG being a part of society is not an exception to be cited with problem. During investigation the constraints experienced by SHGs members are categorized under five areas namely personal, social, economical, technological and marketing problem. These problem directly and indirectly affects the performance of SHGs. The evidences of past studies and experience in the present context reveal a wide variation in the dimension of the problem.

Empowerment in the women’s development context can be defined as defining, challenging, and overcoming the hurdles in women’s life. She enhances her ability to mould her life, personality, and surrounding environment. The buzzword “empowerment” synchronises with women metaphorically when we think of women empowerment. Such has been the issue and its importance in society today. However, why it matters so much can be attributed to “constraints”. 

Communication material is the joint product of knowledge, skill and attitude base of the communicator. Further, most of the communication done on behalf of certain organization also reflects the objective, work culture, strategy and contribution of the organization. Hence analysis of communication material is of greater relevance in exploring the trends, vision, behavior and future course of action. In this chapter, we are going to discuss the content analysis; it’s meaning and practical application.

In spite of its importance, little has been done to assess interactions of climatic variability with productivity performance of different livestock species, sustainability of livestock production systems, livestock based livelihoods and application of science of climate change on small holder and subsistence livelihoods. The climate and its change affect all productive traits and physiological functions of farm livestock and related livelihoods. Heat stress is the most detrimental constraint to livestock production, particularly in mountainous regions. Introduction and selection for highly productive animals and breeds has increased their susceptibility to adverse impacts of climate change. It is necessary to incorporate resilience through selection and breeding for thermo-tolerance and development of adaptable breeds. Modifications in shelter designs and management of production facilities will also be helpful in mitigating adverse climate impacts on animal production and health. Modern animal husbandry practices that target increased per animal productivity allow efficient utilization of feed nutrients and increase returns from fewer animals. Livestock need to be looked for their immense contribution to nutritional security and livelihoods. A well designed livestock production system is among the best ways for sustaining and improving livelihoods and this chapter details the possible options.

Introduction

The advent of Industry 4.0 marks a pivotal era of transformation in the industrial sector, characterized by a fusion of technologies blurring the lines between the physical, digital, and biological spheres. This paper aims to delve into the bibliometric analysis of Industry 4.0, offering a comprehensive overview of the current state of research, predominant themes, and emerging trends within this revolutionary domain. By systematically mapping out the scholarly landscape, this study will not only highlight the intellectual contours that shape Industry 4.0 but also provide insights into the collaborative networks and influential regions propelling this field forward. Through this bibliometric scrutiny, we endeavour to discern the patterns of publication, citation trajectories, and the evolution of topics over time, thereby furnishing stakeholders with a strategic vantage point from which to foresee future directions and opportunities in Industry 4.0. This introduction sets the stage for a nuanced exploration of the intricate tapestry of research that constitutes the backbone of Industry 4.0, laying the groundwork for understanding its impact on the industrial paradigm and its potential to drive innovation, efficiency, and sustainability in the Fourth Industrial Revolution.

Introduction

In rainfed region, the rain is the only source of water which is erratic with unprecedented frequent draughts affecting fruit production in these areas. In adequate, improper water and nutrient management that has lowers down the soil fertility of orchards, especially in rainfed areas. India has fairly good progress on the horticultural crops of the world and is today the second largest producer of fruits in the world, falling behind China. However, the productivity of these fruits is significantly low as compared to other fruit growing of the countries. This is mainly reason due to undulating topography, poor soil fertility status, deep and scare ground water level are the main characteristics of rainfed areas of Jammu region. Due to ever-increasing demand of food, fruit, fuel and fodder, cultivation has been extended to marginal and smalleroded lands. These marginal and small landholders of rainfed regions are not able to sustain arable crops in long run. In addition, the income generated from such a holding is inadequate to sustain the family. 

Values denote the subjective significance or preferences accorded to objects, concepts, or experiences within an individual’s cognitive framework. The concept of value encompasses entities or outcomes that are desired or selected by individuals. Social values, as expounded by Green (1964), represent enduring cognitive and affective constructs pertaining to objects, ideas, or individuals within a societal context. These values are often abstract in nature and may operate at a subconscious level, embodying implicit assumptions regarding what is deemed morally and socially significant. As articulated by Young (1959), social values encapsulate abstract and subconscious beliefs regarding notions of righteousness and importance within a communal framework.

Extension education serves as a catalyst for altering the behavioral complexities within rural communities. This behavioral shift is intricately intertwined with cultural determinants, thereby necessitating extension workers to possess a profound understanding of rural cultural dynamics. Culture, delineated as learned behavior organized into patterns and disseminated among society members, constitutes a foundational concept in sociology, elucidating the regularities observed in human actions. Unlike its colloquial interpretation, which often limits culture to refined expressions such as art and music, sociological discourse expands the scope to encompass the entirety of learned behaviors, attitudes, beliefs, and social norms characteristic of a specific group.

Introduction

Artificial intelligence is an effective technology that makes it possible for computers and other devices to simulate human intellectual abilities and ability to solve problems. Comprehensive study on artificial intelligence may be traced back to Alan Turing’s development of the renowned Turing Test in the 1950s, which examined whether machines are capable of thinking. (Turing, 1950), and John McCarthy came up with the phrase “artificial intelligence” in 1955 when he organised the 1956 Dartmouth Summer AI Research Project. They suggest that “making a machine behave in ways that would be called smart if a human were doing so” is an issue with AI (McCarthy et al., 1955). Compared to humans, artificial intelligence can analyse data, both organised and unstructured, substantially faster and more accurately.

Today, we have spoons made of different sizes and materials such as metal, wood, plastic, ceramic or a combination of two or more materials. The most popular material is the stainless steel. Spoons are used primarily for eating liquid or semi-liquid foods, such as soup, stew or ice cream, and very small or powdery solid items which cannot be easily lifted with a fork, such as rice, sugar, cereals and green peas.

Livestock Population and it’s Economic Contribution

According to 18th Livestock census of India (2007), India has about 199.1 million cattle, which constitute 44.29 per cent of Asian and 12.7 per cent of the world cattle population. The current buffalo population is 105.34 million which accounts 57 per cent of Asian and 55 per cent of the world buffalos. The major output of the entire livestock sector is from the milk, which is the second most agricultural commodities next to paddy. According to the annual report of the Ministry of Agriculture and Cooperation, during 2006-07, the contribution of milk alone (Rs.1,44,386 crore) was higher than paddy (Rs.85,032 crore), wheat (Rs.66,791 crore) and sugarcane (Rs.28,488 crore). The value of output from meat group animals as per estimates of Central Statistical Organization (CSO) at current prices was Rs. 34, 310 crore during 2006-07. Total export earnings from livestock, poultry and related products were Rs.5,213.80 crore during 2006-07. Eighty percent rural households keep livestock for their subsidiary income, important for employment, livelihood, nutrition, constant flow of quick and fast income, reduces the vulnerability of agricultural production. Trends indicate that animal protein consumption would rise proportionately with increase in income. The 18th Livestock Census (2007) has placed the total livestock population at 529.698 million and total of poultry birds at 648.830 million.

Abstract

Rural woman plays dominant role in dairy husbandry activities. Capacity building of rural women in this enterprise is the need of the hour to sustain 4% growth rate in dairy sector as the future demand for dairy products is bound to increase.  Specific objectives of the study are to understand the socio-economic and dairy husbandry scenario of households; knowledge level about different aspects of dairy husbandry; impact of training on knowledge and; policy implications for their capacity building for this enterprise in the state of Haryana. The data towards this end was collected from a survey conducted on 180 women trainees where pre and post models were used. The background socio-economic variables of women trainees were: 26-45 years age group, literacy of 76.12% and the main occupation was agriculture and household management. Milch buffalo (84.45%) was the main dairy animal. Milk production of more than 5 litres was found in 55.54 percent households and selling of milk more than this quantity was seen in 14.14 percent households. About 60 percent of woman trainees themselves looked after the animals. Pre-training knowledge reveals that majority of women knew the right milking method (70.6%) and breed of buffalo (62.2%).

Introduction

In India, the Micro and Small Enterprises (MSEs) sector plays a pivotal role in the overall industrial economy of the country. It is estimated that in terms of value, the sector accounts for about 39 per cent of the manufacturing output and around 33 per cent of the total export of the country. Further, in recent years the MSE sector has consistently registered higher growth rate compared to the overall industrial sector. The major advantage of the sector is its employment potential at low capital cost. As per available statistics, this sector employs an estimated 31 million persons spread over 12.8 million enterprises and the labour intensity in the MSE sector is estimated to be almost 4 times higher than the large enterprises.

Definition for SMEs is often considered to be an obstacle for business studies and market research. Definitions in use today define thresholds in terms of employment, turnover and assets. They also incorporate a reasonable amount of flexibility around year-to-year changes in these measures so that a business qualifying as an SME in one year can have a reasonable expectation of remaining an SME in the next.

Introduction

NITI Policy Paper No.1/20017 reveals details of the concept and time frame as how to double the income of the farmers. The policy paper emphasizes in increase in agriculture productivity, improvement in total factor productivity, diversification towards high value crop, and increase in crop intensity, increasing terms of trade for farmers and shifting cultivators to non-farm and subsidiary activities. The well thought and planned program for doubling the income of the farmers reflecting dream or reality. We have farmers of different types like, small. Marginal and large farmers, resource rich and resource poor farmers, farmers of irrigated and non-irrigated zones, tribal and non-tribal farmers , trained and untrained farmers and progressive and non-progressive farmers. The farmers and their economic structure are quite different from place to place even within district. NSSO data on consumption expenditure survey (2011-12) reveal that more than one-fifth of households with self employment in agriculture and their principal occupation were having income less the poverty line.

Milk Production Scenario

Milk is primary source of protein and lactoseDairy farming is considered to be a whole environment of reciprocal relations and dependency reproduction and protection of social values. In worldwise dairy cows count up to 264 millions producing 600 million tones of milk every year. The global average for milk production is approximately 2200 litters/cow. Cattle population of world is 1009.69 millions heads (FAO, 2019) and highest milk producing countries are India, USA, China, Pakistan and Brazil. In case of consumption of milk India tops in the world followed by EU, USA and China. The per capita consumption of milk is highest in the country of Belarus followed by Ukraine and New Zealand. India is ranked 7th in the world in this respect. In India total cattle population is 306.70 millions. The state of Odisha constitutes 1.19% of the total cattle population of India. The level of milk production of India is reported to be 198.2 metric million tones. The per capita availability of milk in India is 427 gms/day (2021) and highest being in Punjab followed by Rajasthan. In case of Odisha the per capita milk availability is 143 gms and in milk production the district Cuttack top the list followed by Ganjam and Jagatsinghpur.