eChapters

Abstract

The study of computational toxicity prediction is very crucial and necessary, as it is quite time consuming and expensive to measure the toxicity via experimental techniques (Quan Liao et al., 2006). The use of computational approaches particularly to reduce the time and cost for the evaluation of the kinetic and toxic behaviour of any drug has been increased tremendously in recent time period (Richard Judson et al., 2004). Machine learning is a powerful tool to discover new complex combinatorial relationships in various in vitro and in vivo data information (Richard Judson et al., 2004) and has been successfully used in many diverse fields with numerous applications such as pharmacodynamics properties prediction (Czerminski et al., 2001; Livingstone et al., 2003), protein function prediction (Cai et al., 2003), medical decision making (Veropoulos, 2001), spam categorization (Drucker et al., 1999), detection of oil spills (Kubat et al., 1998), and speech recognition (Nuttakorn et al., 2001).

Introduction

The capabilities and effort to collect the geographic data has increased dramatically in the last decade to cope up with the increasing demand for the support of decision making and planning process in the state, national and global level.  From the Government sector, there is a need for spatial data to make quick responses to natural disasters, industrial accidents and environmental crises as actions will be decided based on geography. There is constant pressure to make wise decisions in a more time and cost effective and efficient manner. Accurate and current geospatial data are critical to these decisions.

1. Machine Learning

Learning denotes changes in a system that enable a system to do the same task more efficiently the next time (Simon, 1983)or Learning is constructing or modifying representations of what is being experienced (Ryszard Michalski et al., 1986). Machine learning is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as sensor data or databases. A learner can take advantage of examples (data) to capture characteristics of interest of their unknown underlying probability distribution. Data can be seen as examples that illustrate relations between observed variables. Discover new things or structure that is unknown to humanseg. data mining.A major focus of machine learning research is to automatically learn to recognize complex patterns and make intelligent decisions based on data.

Abstract
    
The amount of data being collected across a wide variety of fields today far exceeds our ability to reduce and analyze without the use of automated analysis techniques. In addition, the whole data may not be of user interest and imperfect. Therefore, it is very challenging to organize this data in formal system, which provides outputs in more relevant, useful, and structured manner. There are many techniques available to retrieve knowledge from this voluminous data. This paper discusses different rough computing based information retrieval techniques to obtain meaningful knowledge from large amount of datasets. We also discuss a real life example to show the viability of proposed research.

Abstract

Currently, computers are changing from single, isolated devices into entry points to a worldwide network of information exchange and business transactions called the World Wide Web (WWW).Current web contains billions of documents and has many administrative problems and limitations; in addition to that the web content is still accessible only to humans. For this reason, support in data, information, and knowledge exchange has become a key issue in current computer technology. The success of the WWW has made it increasingly difficult to find, access, present, and maintain the information required by a wide variety of users. In response to this problem, many new research initiatives and commercial enterprises have been set up to enrich available information with machine processable semantics.

Introduction

The role of knowledge management as the key source for competitive advantage in our organizations has become a hotly debated topic. Indeed, it is a core competency for creating competitive advantage. In this environment that knowledge management is vital, therefore, at first we should determine knowledge management situation, and then to achieve a desired point, formulate a knowledge management strategy.

Abstract

Cloud computing is becoming a technology mature enough for its use in genome research experiments. The use of large datasets, its highly demanding algorithms and the need for sudden computational resources, make large-scale sequencing experiments an attractive test-case for cloud computing. So far I have seen cloud computing demonstrated using R. However, it remains to be seen a rigorous comparison of its performance using a BLAST search and its ability to cope with ever-increasing databases and open source frameworks such as bioperl or bioconductor.

“Knowledge Management is the process by which an organization identifies, creates, manages and delivers information to enhance workforce performance. The purpose of knowledge management is to provide information collected from employees, best practices, clients, competitors and other sources in a format that employees can use to the productivity and quality of their work”

Before attempting to address the question of knowledge management, it’s probably appropriate to develop some perspective regarding this stuff called knowledge. Consider this observation made by Neil Fleming [1996] as a basis for thought relating to the following points.

Now days, in every walk of our life, we deal with a lot of information. It can be for personal use or family matters or for official or business matters. We store, process and retrieve variety of information. Information is basically the collection of various facts, records, statistics, formula or methods, which we use for our official work, for our research or for other use. When all these (information, we keep/ accumulate, for possible future use) are put in an organized manner, we find it convenient to use and easy to remember/ apply. Today, as it is rightly said, information is power; information is our knowledge-strength. It is thus important to organize and manage this knowledge that mostly depends on (and derived from) an information pool.

Introduction

Individual bits or “bytes” of “raw” biological data (e.g. the number of individual plants of a given species at a given location) do not by themselves inform the human mind. However, drawing various data together within an appropriate context yields information that may be useful (e.g. the distribution and abundance of the plant species at various points in space and time). In turn, this information helps foster the quality of knowing (e.g. whether the plant species is increasing or decreasing in distribution and abundance over space and time). Knowledge and experience blend to become wisdom—the power of applying these attributes critically or practically to make decisions. This quotation is from the Atlantic Canada Conservation Data Centre, a non-profit organization established in 1999.Thus, we are led to think about Data, Information, Knowledge, and Wisdom as we explore the capabilities and limitations of IT systems.

Summary

Water security can be defined as reliable availability of water in sufficient quantity and quality to sustain human health, livelihoods, food (agriculture, fisheries and aquaculture) and the environment (biodiversity and ecosystems). Discharge of chemical and biological pollutants (from agriculture, industry and domestic uses) into rivers and development of engineering infrastructure such as dams and weirs over rivers have modified river ecosystems threatening the global water security, water quality and water dependent biodiversity. Climate change (increase in the intensity and frequency of floods, droughts, bushfire and sea-level rise, ocean acidification, etc.) is an additional stress on water security. There is a need to reduce climate change impacts on water security which can be done via adaptations to climate change. Adaptation is adjustment in natural or human systems in response to actual or expected climatic stimuli or their effects, which moderates harm or exploits beneficial opportunities. In other words, the adaptation can be considered as, tackling the effects of climate change. Adaptation to climate change in terms of sustainable use of water may include increasing water availability by developing hydro-basins and transferring water from areas in which it is abundant to areas in which there is scarcity, the reduction of water losses, increasing storage capacity by building reservoirs and dams, rainwater harvesting, improvement of water use efficiency, desalination of seawater, water savings (leakage management, metering, retrofitting existing homes with water efficient products in toilets, showers, baths, using energy efficient dishwashers and washing machines), mandatory rainwater tanks in new and old buildings (for toilet flushing, washing clothes, gardens, car washing), use of recycled or reclaimed water for landscape irrigation or to recharge groundwater aquifers, and to meet commercial and industrial water needs.

Summary

Biodiversity (the variety of living things) is fundamental to ecosystem structures and functions, and provide the broad spectrum of goods and services that humans derive from natural systems such as food (e.g. fish), protection from disasters such as cyclones, storms, floods (e.g. mangroves) or maintenance of water quality. Species (biodiversity) respond to climate change either staying or moving out or dying out. For example, the rise of temperature as a consequence of climate change may cause some species to (a) stay in the same environment since they can tolerate to adapt to changes; or (b) may cause some species to move out in a suitable environment (e.g. some species to move pole ward, some up in elevation) or (c) some species (fish) to go deep to increased depths in the oceans to escape heat or warming or (d) may cause some species to die out or get extinct (species with restricted distribution, longer generation time will not be able to migrate or adapt to climate change). A pattern of range shifts such as pole wards and upwards has been documented in hundreds of species of plants and animals and is one of the strongest signals of biotic changes from global warming. These shifts result from two processes: cold-edge expansion and warm-edge contraction. There is now abundant evidence for local extinctions from contractions at the warm edges of species’ ranges or warm edge contraction because the species may have already reached the limits of their climatic tolerance. Investigations conducted reveals that many terrestrial and aquatic species are shifting their geographic ranges in response to rapid changes in temperature and precipitation regimes. For example, many terrestrial organisms are currently shifting in latitude or elevation in response to changing climate. It has been estimated that plants and animals have recently shifted to higher elevations at a median rate of 11.0 m per decade, and to higher latitudes at a median rate of 16.9 km per decade.

Summary

Climate change (floods, droughts, rise of temperature and sea level) can directly impact the incidence of water related diseases through effects on water temperature and precipitation frequency and intensity. This chapter focuses on some common water quality related diseases that may enhance due to climate change such as arsenicosis, cholera, cyanobacterial toxins, dengue, diarrhoea and malaria. Arsenicosis is the disease caused by arsenic (As) contamination. As poisoning via groundwater has become a worldwide problem with 21 countries experiencing As groundwater contamination including Bangladesh, India, and China. In Bangladesh, out of 64 districts, As levels in 60 districts have exceeded WHO recommended guidelines of 10 µg/L and in 51 districts it exceeded Bangladesh recommended guidelines of above 50 µg/L. Chronic exposure to As has been linked to carcinogenic effects in both humans and animals. These include cancer of the various skins and internal organs (lung, bladder, liver and kidney) and reproductive and developmental effects; cardiovascular disease; reduced intellectual function in children and mortality. Alternate floods and droughts (due to climate change) have been found associated with the release of As and contamination of groundwater in Bangladesh, therefore may increase the risks of the disease due to rise of extreme events such as floods and droughts. Cholera is a diarrhoeal disease caused by the bacterium Vibrio cholerae. In 2012, WHO reported 245, 3931 cases of cholera in 48 countries, with more than 3,034 deaths with a case-fatality rate (CFR) of 1.2%. The highest cases were from Africa, followed by Latin America and Asia. The epidemic of cholera is reported to be linked strongly with climate change. Changes in temperature, salinity, rainfall and abundance of phytoplankton have been shown to cause an impact on distribution and survival of V. cholerae. In Bangladesh, cholera (cholera-toxin producing strain of V. cholerae) outbreaks are related to plankton blooms and rise of sea temperature.

Summary

Climate change can affect the quantitative and qualitative status of water resources by altering hydrological cycles, systems and through changes of water quality via chemical and biological contamination. Changes in these variables lead to impacts on all the socio-economic and environmental goods and services that depend on these variables directly or indirectly including water supply, damage to ecosystems, water dependent food production. The most dominant climate drivers for water quantity or water availability are precipitation, run-off and river flows, floods, droughts, snows, glaciers, sea level rise etc. The observed climate change related impacts on world’s water resources/water quantity include increased precipitation at high latitudes and temperate areas and decreasing trends at low latitudes. The annual run-off in some regions may experience increased run-off, such as in high latitudes and large parts of the USA, whereas there has been a decrease in run-off such as parts of West Africa, southern Europe and southernmost of South America. Floods have been the most reported natural disaster events in Africa, Asia and Europe than all other natural disasters and in case of Bangladesh, six extreme floods have occurred in the last two decades. More intense droughts have been reported from Australia, semi-arid and semi-humid regions, western USA and southern Canada, the Sahel. Precipitation is projected to increase at mid- and high latitudes, in the tropics, whereas precipitation is projected to decrease over many sub-tropical areas (North Africa, northern Sahara), tropical Central American (Caribbean) and the Mediterranean. In areas where evaporation rates are expected to increase it would lead to reduced river and stream run-off. In contrast, areas receiving higher precipitation would likely have higher lake and river levels and may experience floods. The annual stream flow in the Murray-Darling basin (Australia) is projected to fall by 10-25% by 2050 and 16-48% by 2100 which would have severe consequences on irrigated agriculture in the region. Rivers depending on the Himalayan glaciers such as the Indus, Ganges, Brahmaputra, Syr Darya and Amu Darya could face water shortages or river run-off due to retreat of glaciers, and this would cause dramatic impact on drinking water supplies, biodiversity, hydropower, industry, agriculture and ecosystems on which about 2.4 billion people in Asia depends. Globally, ground water is the source of one third of all freshwater withdrawals, supplying an estimated 36%, 42% and 27% of the water used for domestic, agricultural and industrial purposes, respectively. The demand for groundwater is likely to increase due to global increase of water use for irrigation and a decline in surface water quality and reduced summer flows in snow-dominated basins. It is projected that climate change (drought, floods) will affect groundwater recharge rates (e.g. floods would increase recharge, drought would decrease recharge).

Summary

The main greenhouse gases (GHGs) that have caused the global climate change or global warming are carbon dioxide (CO₂), methane (CH₄) and nitrous oxide (N₂O). CO₂ is the principal anthropogenic GHG that affects the earth’s radiative balance. It is the reference gas against which other GHGs are measured and therefore has a Global Warming Potential (GWP) of 1. CH₄ and N₂O have a GWP of 21 and 310, respectively. CO₂ is responsible for most of the enhanced greenhouse effect of more than 50%, CH₄ for about 10-15% and N₂O for about 8%. The global atmospheric concentrations of CO₂, CH₄ and N₂O have increased since 1750. While CO₂ increased from a pre-industrial value of 280 ppm to 379 ppm in 2005, CH₄ increased from 715 ppb to 1774 ppb and N₂O increased from 270 ppb to 319 ppb during the same period. Rich countries and large developing countries account for most of global CO₂ emissions (China 23.5%, USA 18.27%, India 5.83%, Russia 5.72%, Japan 4.04% and European Union 13.98%). A new climate agreement called ‘Warsaw International mechanisms (November 2013) on loss and damage’ agreed to help the poor countries to cope with loss and damage from heatwaves, droughts, floods, typhoons, desertification and rising sea levels. The Warsaw agreement also includes a set of decisions to help developing countries to reduce GHG emissions from deforestation and degradation of forests which is backed by pledges of US$280 million financing by the United States, Norway and the United Kingdom. Projections for global average temperature rise is in the range of 1.1-6.4°C; a doubling of CO₂ (from pre-industrial 280 ppm) and average sea level rise is in the range of 0.18-0.59 m (Meehel et al. 2007) and 0.5–2.4 m (Brown et al. 2013). Hot extremes, heat waves and heavy precipitation events will continue to become more frequent. Projected data show that there is an increasing global trend in the rise of average temperature in all countries, regions or sub-zones; a decreasing trend in average precipitation in most sub-tropical areas and an increasing trend of precipitation in most of the tropical and high latitudes.

ABSTRACT

Hydroponics is a plant growth system that provides a more precise control of growth media composition. It offers people the ability to grow food in places where traditional agriculture simply isn’t possible. As Fiji has a warm tropical climate, the development of the tropical fruit and vegetable industry through hydroponics farming to meet local consumption and export market is a lucrative opportunity. The potential for hydroponics farming is enormous and is in demand to sustain production at reliable and consistent level in Fiji. Potential areas for the setting up of hydroponic farms in Fiji include Savusavu, Nadi, Navua, Sigatoka Valley and Labasa. These areas have established theirlogistical status with the market. A wide range of commodities are grown through hydroponics technology which complements the need to harness the “too hot” and “too wet” weather of tropical Fiji. The pristine environment and availability of resources such as water and other hydroponic farming input are added bonus to establishment of such venture. Hydro nut Hydroponic farming system are constructed as simplest form made of bamboo and coconuts using coconut husk as a growing media and worm casting and humus tea are used as fertilizer. It offers some significant benefits over traditional farming, and as word about these benefits spreads, more people will turn to hydroponics for their agricultural needs. As hydroponics allows produce to be grown locally and requires fewer areas to import their crops, there is a reduction in both price and greenhouse gas emissions due to reduced transportation requirements. This saves time and produces healthier, disease and pest free, lusher plants in about half the time as traditional agriculture farming system.

ABSTRACT

Bangladesh is a land of rivers, wet lands and tributaries across her deltaic plains in which aquaculture is a potential arena to meet dietary needs of protein. The main objective of this study was to bring out the dominating factors on adoption of modern aquaculture technologies by the fish farmers. The study was conducted in Kahaloo and Sherpurupazilas of Bogra district. Respondent fish farmers were selected using proportionate random sampling technique. Quantitative data were collected using predesigned interview schedule during August to September 2011. Socio-demographic characteristics of the respondents viz. ‘use of information sources’ ‘innovativeness’, ‘social participation’, ‘commercialization’ and hindrances of adoption i.e. ‘lack of technical knowledge’, ‘unavailability of credits in time’, ‘lack of quality fish fry’, ‘comparatively low market price’, ‘fish fry price is high’, ‘unavailability of quality fish feed’, ‘adulteration of fertilizers’ were the major dominating factors on adoption of modern aquaculture technologies. ‘formulated feed is costly’, ‘high production cost’

³Ex-Head & Principal Scientist, Dairy Extension Divison, Karnal, Haryana

INTRODUCTION

Backyard poultry production is an age old practice in rural India. Rural poultry farming in India contributes to about 40% of the national egg production. In ancient time poultry birds were reared for different purposes such as for its fighting ability. In old civilization, the cocks are known for their morning alarm and the selection is also done for these traits. Their fighting ability is more responsible for their spread than there nutritive value of the chickens. Backyard poultry farming is now gaining considerable momentum in the country and enables rural community to participate, in the economic, political and social sustainable development of the rural communities.

Backyard poultry farming is being recognized as important component of socio- economic improvement among the weaker section of society; specially rural youth, landless labour, small and marginal farmers. Backyard poultry generates self-employment, provides supplementary income with protein rich food at relatively low cost. Backyard poultry farming is the one among different enterprises in the present situation which gives some assured income to rural youths of the country. Before 1950, poultry keeping in India was largely a backyard venture. During last 3-4 decades Indian poultry industry has shown excellent growth. Poultry farming is a profitable venture as a means of livelihood and income prosperity for rural youth and farmers. The small and marginal farmers may choose backyard poultry farming alternative method for generating good income with their limited land and water use. Keeping in view of demand of poultry eggs and meat in the country and its potential for income and employment generation among rural youth, there is a need to increase the poultry production in the country.

INTRODUCTION

Livestock is an integral part of agriculture in our country. In the decade, India’s population has grown drastically by 13% to 1.2 billion people. Meeting the nutritional needs of this swiftly growing is a gargantuan challenge. Researchers and young farmers have an important role to play in the India Government strategy to relieve pressure on food resources. The dairy industry is a large and important sector in India. We are the highest milk producers in world and milk is an integral source of nutrition and household income. But per animal production is very low as compared to developed countries. The challenge is to improve production and reproduction of dairy animals. Indian farmers feed their animals with imbalanced ration. Supplementation of mineral and vitamins in feed not only improves health status but also in turn increase the income of dairy farmers. The economic contribution of dairy sector seems to be quite substantial in the agricultural economy as well as in the national economy. Keeping in view the growing importance of dairy sector in the changing national and global economic scenario, the dairy farming vocational training programs are organized in the Extension Center of LUVAS at Jind. To undertake this work, 856 young dairy farmers of the area who have successfully completed dairy farming vocational training programmes during the year 2010 to 2013 were selected for the collection of data.

ABSTRACT

Indian agriculture is an economic symbiosis of crop and cattle population. Millions of family dairy farming dominates India’s dairy industry, contributing 62 percent of total milk produced in the country. So, encouraging family dairy farming in rural areas is necessary to increase the milk production at national level and increase the socioeconomic status of landless and marginal farmer. In rural areas there is a major problem of milk marketing. In urban scarcity of quality milk, other side in villages especially faraway from city there is surplus milk and farmers are not interested to rear more dairy animals. Marketing of surplus milk is main problem because milk is a highly perishable item and farmers not having time and also due to less quantity of surplus milk (3-5 liter) they are not interested to go market. For this we can work in group and collect milk at one place from all members and one person go to market for selling of milk. Extra milk can be used to manufacture other milk products like ghee, peda, paneeretc by other member. Some members also engaged in other work like treatment of animals, collect information of different schemes from related offices. While engaging with rural communities, we recognised that village women are the primary caretakers of cattle and play a significant role in dairy farming. As a result, the Village Woman Dairy DevelopmentProgramme - an initiative focusing on empowering village women engaged in dairy farming. Benefits in dairy farming depend on cost of feeding, medicines, labour and income from sale of milk. Milk price is fixed and not in farmers control so we increase the income through reducing the cost of milk production. Approx 70% cost of milk production on feeding of animals. To reduce cost of feeding and medicine we fed balanced ration to dairy animals. Also reducing cost of production by feeding locally available unconventional feeds through total mixed ration feeding and urea mineral molasses block supplementation.