eChapters

7.1. People’s Participation in Observation, Analysis and Planning for Rural Development

Why should people participate?

There is no controversy as to whether there should be people’s participation in the development programmes in the development programmes designed to meet the basic needs of the people. The post-mortem of any unsuccessful programmes has shown that they have invariably failed when they failed to provide an adequate place and importance to people’s participation in the planning and analysis.

There is a body of philosophy and a set of assumptions behind people’s participation in rural development. These are;

i) It should be people’s programme with government’s participation;

ii) Community needs to build up their own capacity, agents have got a catalytic role;

iii) Self- imposed changes have got permanence as compared to those imposed from outsides

iv) Holistic approaches are far better than the fragmented approaches;

v) People need certain help to solve unique problems;

Statistics as a wide subject is used in almost all disciplines especially in research studies. Statistics provides scientific tools for representative data collection, appropriate data analysis and summarization of data and inferential procedure for drawing valid conclusion in the face of uncertainty. Each and every researcher should have some knowledge in Statistics and must use statistical tools in his or her research, one should know about the importance of statistical tools and how to use them in their research or survey. The quality assurance of the work must be dealt with: the statistical operations necessary to control and verify the analytical procedures as well as the resulting data making mistakes in analytical work is unavoidable. The emergence of statistical software in the twenty-first century has helped different researchers in the physical and social science to improve in the quality of research. Most renowned researchers in adopting this software in their data analysis have been able to identify the immense contribution to research findings (Adetola, 2013). Any quantitative research cannot be done effectively without Statistical Software. Moreover, it enables research data for easy presentation. It helps professionals to interact with data thereby paving way for creativity and innovation. Some are user friendly interface with drop-down tips for beginners (ATS, Ucla Edu, 2014). Advances in technology have improved all our lives (Akindutire, 2013) and has allowed experts greater freedom to come out with results within a twinkle of an eye than ever before where it takes time to finish analysis. This same technology has offer tremendous opportunity to research and keep research as a more interesting field of study. This study is significant, because it is an attempt to measure the direct impact of different statistical software on research analysis.

A linear programming problem aims to maximize or minimize a linear function subject to the linear constraints. But in many cases, the objective function may not be linear or all/some of the constraints may not be linear or both the objective and the constraints may not be linear. Such an optimization problem is called a nonlinear programming problem (NLPP). In this chapter, we discuss about NLPP’s. Nonlinear programming is the process of solving an optimization problemdefined by a system of equalities and inequalities, collectively termed constraints, over a set of unknown real variables, along with an objective function to be maximized or minimized, where some of the constraints or the objective function are nonlinear. It is the sub-field of mathematical optimization that deals with problems that are not linear. A typical non-convex problem is that of optimizing transportation costs by selection from a set of transportation methods, one or more of which exhibit economies of scale, with various connectivity and capacity constraints. An example would be petroleum product transport given a selection or combination of pipeline, rail tanker, road tanker, river barge. Owing to economic batch size the cost functions may have discontinuities in addition to smooth changes. In experimental science, some simple data analysis (such as fitting a spectrum with a sum of peaks of known location and shape but unknown magnitude) can be done with linear methods, but in general these problems, also, are nonlinear.

Multivariate analysis is essentially the statistical process of simultaneously analyzing multiple independent variables with multiple dependent (outcome or criterion) variables using matrix algebra. During the last two or three decades, multivariate statistical analysis has become increasingly popular. The theory has made great progress, and with the rapid advances in computer technology, routine applications of multivariate statistical methods are implemented in several statistical software packages. The traditional approach to the teaching of multivariate statistical analysis, as exemplified by Anderson (1958), relies heavily on advanced matrix mathematics. On the other hand, Hury and Riedwyl (1988) suggest that it is possible to understand most of the basic ideas underlying multivariate statistical analysis without a mastery of such mathematics, provided that these are conveyed with the help of real data sets. In this chapter we propose a non-mathematical data-driven approach for teaching multivariate statistical methods to students. Despite this, we are mindful of the need for students to know some basic linear algebra and univariate statistical concepts. Such basic knowledge provides students with the foundation necessary for the application of the appropriate multivariate statistical procedures and for the interpretation of results.

In statistics, sampling is concerned with the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population. Two advantages of sampling are that the cost is lower and data collection is faster than measuring the entire population. Each observation measures one or more properties (such as weight, location, colour) of observable bodies distinguished as independent objects or individuals. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly stratified sampling. Results from probability theory and statistical theory are employed to guide the practice. In business and medical research, sampling is widely used for gathering information about a population. Acceptance sampling is used to determine if a production lot of material meets the governing specifications.

The sampling process comprises several stages

• Defining the population of concern

• Specifying a sampling frame, a set of items or events possible to measure

• Specifying a sampling method for selecting items or events from the frame

• Determining the sample size

• Implementing the sampling plan

• Sampling and data collecting

Statistics is a branch of science which deals with the collection, classification, description and interpretation of data obtained by conducting surveys and experiments. The essential purpose of it is to describe and draw valid inferences about numerical properties of populations” (Ferguson 1966). The experience in statistics application indicates that a single statistical method can be used in different research areas for dealing with different types of problems. Various possibilities which application of a statistical method provides in certain research areas should be considered as an adequate way of dealing with a problem of the research. However, it should be noted that statistics is not a method by which it is possible to solve all the problems in a research. Nachmias and Nachmias (2009) stated that there are basically two types of statistics which include descriptive and inferential statistics. Descriptive statistics enable the researcher to summarize and organize data in an effective and meaningful way. It involves the use of tables, charts, graphs, mean, modes, median, standard scores and correlation to treat collected data. Inferential statistics is concerned with making inferences from a unit of a population. Inferential statistics is concerned with making inferences from a unit of a population. Inferential statistics allow the researcher to make decisions or inferences by interpreting data patterns. Researchers use inferential statistics to determine whether an expected pattern designated by the theory and hypotheses is actually found in the observations. To decide whether this hypothesis is true, researchers might survey the respondents and then use descriptive statistics to make comparison between these groups and would employ inferential statistics to determine whether the differences between the groups are significant or not.

1.1. Introduction

Research in simple terms refers to search for knowledge. It is a scientific and systematic search for information on a particular topic or issue. It is also known as the art of scientific investigation. Several social scientists have defined research in different ways.

In the Encyclopaedia of Social Sciences, D. Slesinger and M. Stephenson (1930) defined research as “the manipulation of things, concepts or symbols for the purpose of generalizing to extend, correct or verify knowledge, whether that knowledge aids in the construction of theory or in the practice of an art”. According to Redman and Mory (1923), research is a “systematized effort to gain new knowledge”. It is an academic activity and therefore the term should be used in a technical sense. According to Clifford Woody (Kothari, 1988), research comprises “defining and redefining problems, formulating hypotheses or suggested solutions; collecting, organizing and evaluating data; making deductions and reaching conclusions; and finally, carefully testing the conclusions to determine whether they fit the formulated hypotheses”

Oil palm is a major source of edible oil globally and plays a crucial role in meeting the dietary needs of millions of people. India has been focusing on expanding oil palm cultivation to reduce its dependence on imported edible oils. Oil palm can yield high oil compared to other vegetable oils. Palm oil production rate depends on post-harvest handling, and milling and extraction processes. After harvesting, some quality changes occur in oil palm fresh fruit bunches which leads to reduce the oil quantity and quality. With proper handling of post-harvest bunches and adapting best extraction methods can increase the oil yield and quality. Palm oil alone has the potential to make India sustainable in edible oil production.

Introduction

Oil palm (Elaesis guineensis Jacq.) originated in the tropical rain forest of western Africa and is now being cultivated in more than 45 countries around the world especially tropical regions i.e., Malaysia, Indonesia, Thailand, Nigeria, Columbia, and Ghana. This crop was introduced in India during the early 1990s, to meet the demand and to attain sustainable edible oil production in India due to its high oil-yielding capacity compared to other vegetable oil crops. It produces two distinct oils, i.e., palm oil and palm kernel oil. Palm oil is derived from fleshy mesocarp of the fruit and palm kernel oil obtained from the kernel of stony seed.

Coconut, arecanut and palmyrah, which hold significant cultural and historical importance in India, have been the primary focus of cultivation efforts. Cocoa, a relatively recent addition to India, serves as a companion crop to coconut and arecanut, contributing to the economic well-being of farmers nationwide. However, the current situation emphasizes the crucial role of value addition and product diversification in stabilizing prices. Despite the initial stages of value addition in India’s palm crops, recent innovations and established value chains have the potential to empower farmers as entrepreneurs, thereby augmenting their income. Moreover, the value-added products from these palms have enormous export potential. This chapter explores the advancements in value-added products and the diversification of coconut, arecanut, palmyrah, and cocoa, providing insights into opportunities for cottage or small-scale industries.

Introduction

Agricultural production is necessary to fulfil nutritional requirements for human populations and global food security. The agricultural sector also forms the economic backbone of many low-income countries in which millions of farmers are employed (Anushka et al, 2022). However, managing agricultural production to achieve multiple objectives of providing food, supporting livelihoods and protecting biodiversity and forests is a challenge especially in tropical, low-income countries (Anushka et al, 2022). Usually, the growth in global agricultural production is largely driven by commercial and export oriented commodities. One such agricultural commodity that has high global demand is cashew (Anacardium occidentale L.). Cashew is presently cultivated in 33 countries including India in the world. Global land area for cashew cultivation between 1980 and 2018 has seen an eleven-fold increase from 526,250 ha to 5,972,724 ha (Anushka et al, 2022).

Introduction

India is bestowed with huge production of fruits, vegetables, cereals, millets, sugarcane along with meat production, milk production, fish production and poultry. Despite such a huge production in India, owing to perishable nature of these produce around 25-30 per cent of the produce is being lost as post harvest loss. The one important reason for this may be the production of the crops are season specific and during the peak season the production is more while demand for consumption is less. It may be possible to cut down losses to great extent, if these produces may be transported from the produce states to those who are not producing due to agro-climatic reasons. So for making transportation of the perishable a successful venture in decreasing post harvest loss, there must be proper storage facilities both at producing site as well as marketing place. The aim of the storages must be to keep the produce in saleable condition during entire storage periods. Some products are stored for short period whereas fresh fruits, vegetables require cold storage. Foods before keeping into the storage room need some pre-storage treatments for better results.

India is the second largest producer of fruits However, the export potential of fruits and vegetables is very negligible. This is because of improper knowledge to the farmer about proper post-harvest infrastructure facilities. Fruits have a high-water content ranging from 70-95 per cent. They dry quickly under any normal atmospheric condition. These causes loss of rigidity and shrinkage of the cells cause wilting and shrivelling. Appropriate packaging ensures prolonged the shelf life of fruits and vegetables by preventing moisture loss and thereby wilting. Transportation is a critical phase in the fruit supply chain that can significantly affect the quality of fruits. Several factors during transportation can lead to quality degradation such as temperature/humidity fluctuations, mechanical damage, transit time etc. To mitigate the adverse effects of transportation on fruit quality, best practices ie, real-time monitoring, temperature and humidity control, loading/unloading techniques can be employed. Quality evaluation is a critical component in the fruit industry, encompassing a range of assessments to ensure fruits meet the desired standards for consumer satisfaction, shelf life, regulatory compliance, and market competitiveness. It involves a comprehensive approach that includes physical, chemical, and sensory assessments, supported by advanced technological tools, to maintain and enhance the quality of fruits throughout the supply chain. This book chapter deals with the effective packaging, transportation, and quality evaluation of fruits, ensuring that consumers receive fresh, high-quality produce.

The production of fruit crops is largely dependent on the environmental conditions and nutritional status of the plants. Any alteration in the environmental conditions and nutritional status may results in different physiological disorders which affect the growth of the plants and also the quantity as well as quality of the fruits. The precise and early recognition of physiological disorders is important for the timely adaptation of remedial strategies to reduce the crop loss. Physiological disorders in fruits crops may be due to single factors or multiple factors may be involved in the appearance of physiological disorders. A sound knowledge about the cause of physiological disorder is useful to adopt suitable remedy for the disorder.

Introduction

The abnormal growth behavior or unusual external and/or internal conditions of fruits which results due to adverse environmental conditions and nutritional imbalances are considered as physiological disorders. Physiological disorder is best defined as external or internal malfunctioning resulting from improper environmental or cultural conditions before and/or after harvest. Variation from normal temperature, light, moisture, nutrient, harmful gases, insufficient supply of growth regulators, deficiencies or excesses of nutrient etc. are some of the important environmental and cultural factors of physiological disorders (Fig. 1). Physiological disorders affect the quality as well as quantity of the fruit crops. Detection of precise physiological disorders is not easy and requires a strong knowledge regarding them.

Introduction

Fresh fruit journey from the farm to the consumer’s table is an intricate process which needs a lot of attention. The way that the produce is harvested and handled is of supreme importance in relation to its quality shelf life and general market attractiveness. Improper handling practices during these critical stages can bring both quantitative and qualitative loses hence the perishable produce will lose its commercial value and appeal to the consumers (Kader, 2005). No doubt the significance of successful harvesting and post-harvest handling practices is crucial and has an impact on quality features and safety in case of fresh fruits. Poor management can cause physical assault ripening speed and more susceptibility to the growth of micro-organisms which makes the produce unsuitable for consumption or processing.

Horticulture sector, comprising fruits, vegetables, floriculture, medicinal and aromatic crops, mushroom, spices and plantation crops, had witnessed phenomenal growth in production and productivity during the last two decades. Resultantly, horticulture in India is recognised as one of the fastest growing sectors in the world. The production has reached to 351.92 million tonnes in 2022-23 as compared to 231 million tonnnes in 2010. Progressive urbanization, increased spendable income and awareness for balanced and nutritious food have contributed towards increasing demand of horticulture produce. The increasing demand coupled with higher income returns per unit area has triggered this growth pattern, which has been largely possible due to policy environment to support horticulture both for research and development.

Fruits represent a vital component of global agriculture, serving as not only a significant source of essential nutrients but also a lucrative sector of the economy. However, from the moment of their inception on the tree to their arrival on consumers’ tables, fruits undergo a complex journey influenced by a myriad of factors. Among these, pre-harvest practices wield a profound impact on fruit quality, enzymatic activities, texture, ripening, and ultimately, post-harvest transportation losses. Each pre-harvest practice, from mineral nutrition to harvesting methods, plays a distinct role in shaping the biochemical composition and physical attributes of fruits, ultimately affecting their marketability and shelf life. Mineral nutrition stands as one of the foundational pillars of fruit production, with essential minerals serving as building blocks for various biochemical processes. Irrigation practices represent another critical aspect of pre-harvest management, as water availability profoundly impacts fruit development and composition. Different irrigation regimes can influence enzymatic activities, fruit texture, and the timing of ripening, necessitating strategic water management to achieve desired fruit quality while minimizing post-harvest losses. Canopy regulation, achieved through training and pruning techniques, offers growers a means to manipulate light penetration and airflow within the orchard. Moreover, the application of plant growth regulators (PGRs) emerges as a tool for fine-tuning fruit development and ripening processes. By modulating hormonal signals, PGRs can alter enzymatic activities, influence fruit texture, and mitigate transportation losses. However, judicious application is paramount to avoid adverse effects on fruit quality and safety. Harvesting decisions, including the determination of optimal maturity and the timing and method of harvest, profoundly impact fruit quality and post-harvest losses.

Horticulture crops contribute significantly for the total agricultural production and productivity. World production of fruits accounted for the total volume of 933 million tonnes (FAO, 2023). India being second largest producer for majority of fruit commodities had a production total reaching 108.34 million tonnes in 2022-2023 from an area of 7.15 million hectares. It accounts for 33 per cent to the agriculture GVA (Gross Value Added) and plays an important role in the Indian economy. India is second largest producer of majority of fruits and vegetables. Diverse agro-climatic zones in the country make it possible to grow almost all varieties of fruits in India. Produced fruits are used for domestic consumption, processing and export purposes. During 2022 23, fresh fruits exports was valued at 6219.46 crores (APEDA, 2023). The fruits grown in India includes domestic fruits and nuts along with the exotic fruits contributing for the food and nutritional security. The growth of these economically important fruits provides scope for maintaining rich germplasm, enhance bio-diversity and maintain ecological balance.

Introdction

Fruits are an important supplement to the human diet, as they provide minerals, vitamins and fiber required for maintaining good health. Fruits are also rich in phytochemicals (7, xanthophylls, polyphenols, flavonoids, phenolic acids, organic acids etc.) which possess good antioxidant properties. India’s diverse climatic conditions ensure availability of almost all the varieties of fresh fruits and vegetables. According to FAO (2021), the country ranks first in the production of bananas (26.45%), mangoes (including mangosteens and guavas) (43.80%) and papayas (39.30%). The scenario of horticulture crops in India has become very encouraging. The percentage share of horticulture output in agriculture has become 33 per cent (Anonymous 2021). India has witnessed increase in horticulture production over the last few years. Significant progress has been made in area expansion resulting in higher production. Over the last decade, the area under horticulture grew by 2.1 per cent per annum and annual production increased by 3.9 per cent. During 2020-21, the production of horticulture crops was 334.60 million tonnes from an area of 27.74 million hectares. The production of fruits has increased from 76.42 million tonnes in 2011-12 to 108.34 million tonnes in 2022-23 (Agricultural Statistics at a Glance 2022). The area under cultivation of fruits stood at 7.05 million hectares. The total production of fruits in the year 2020-21 was highest in case of Andhra Pradesh (17.70 million tonnes) followed by Maharashtra (11.73 million tonnes) and Uttar Pradesh (11.23 million tonnes) (Anonymous 2021). India now is the second largest producer of vegetables and fruits in the world. The country ranks at first position in the production of banana, mango, lime and lemon, papaya and okra. The area and production of fruits in India is presented in Table 1. The fruits namely banana, mango, citrus, papaya, guava, grapes, apple, pineapple and sapota account for more than 85 per cent of the total production of fruits. The other fruits which are produced in India are almond, walnut, jackfruit, bael, ber, custard apple, kiwi, passion fruit, peach, pear, plum, strawberry etc.

Introduction

Virtual supply chain management is the digital representation of inventory data that the managers manage from anywhere in the world. In the 1980s, when the proliferation of computers gave more importance to the human resource, f inance, and manufacturing units communicating with each other for better quality work, that led to enterprise resource planning, and slowly each task of supply chain management started virtualizing in its full length.

A virtual supply chain has advantages such as better inventory control, shorter lead times, quicker order fulfilment, increased supply chain visibility, more accurate demand forecasts, and higher customer satisfaction. It gives businesses the ability to make the most use of their resources, cut expenses and lessen waste throughout the supply chain.

However, putting in place a virtual supply chain calls for thorough planning technology integration, and network-wide process alignment. Overcoming obstacles like data security, interoperability, and change management are all part of it. To fully reap the rewards of a virtual supply chain, businesses must also invest in technical infrastructure, training courses, and partnerships.

Introduction

Stocks from different firms can be traded and listed on the stock market. In addition, the stock market evaluates listed firms based on their worth, effectiveness, profitability, and capability. Anybody can trade shares on the stock market, which is an open global market. GDP is the total amount of profit produced in a country over a given period. To develop products and services in a country to a plausible degree, it is helpful to measure the monetary policy of completed goods and services that are acquired for a single end consumer. It comprises all earnings generated inside a country’s borders. The GDP of any nation may be used to determine the size and state of that nation’s economy. GDP is a measure of a nation’s total production and performance and is used as a gauge of economic health. Strong GDP growth frequently signals more consumer spending, corporate profitability, and company expansion, all of which are positive indicators of optimistic mood in the stock market. On the other hand, a slow GDP growth rate might undermine investor confidence and cause stock values to decline.