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Books > Professional & Technical > Agriculture & farming > Agricultural engineering & machinery
This report analyses the adaptive capacity in agricultural water
management, adaptation in agriculture to water variability and
extreme events, (floods and droughts), mitigation, (water and
energy) and uncertainty about further climate change.
This collection features four peer-reviewed literature reviews on
soil health indicators. The first chapter describes indicators and
frameworks for soil health currently in use. It evaluates the
principles underpinning current approaches to monitoring soil
quality/health and shows these principles have been applied in the
development of a practical soil health toolkit for use by UK
farmers. The second chapter reviews the range of physical, chemical
and biological indicators of soil health and how they can be used
in practice. It focusses on measuring soil health in organic
vegetable cultivation and, in particular, ways of measuring the
effects of adding organic amendments to improve soil health. The
third chapter discusses key issues in soil organic carbon (SOM)
modelling and the development of increasingly sophisticated,
dynamic SOM models. It looks at the role of SOM models in improving
soil health monitoring and developing decision support tools for
farmers The final chapter reviews current challenges in collecting
more systematic and reliable data on earthworm communities,
including issues in identifying different earthworm groups. It
includes a case study on developing a robust method for accurate
measurement of earthworm communities in soil in assessing and
improving soil health.
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Food Processing
(Hardcover)
Romina Alina Marc, Antonio Valero Diaz, Guiomar Denisse Posada Izquierdo
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R3,521
Discovery Miles 35 210
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Ships in 10 - 15 working days
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The increasing demand for food as well as changes in consumption
habits have led to the greater availability and variety of food
with a longer shelf life. However, these items, when not properly
preserved, can lead to severe food-borne illnesses that can be
fatal. Thus, countless studies are now geared towards the
processing, distributing, and safe storage of foods. Novel
Technologies and Systems for Food Preservation is an essential
reference source that discusses novel and emerging cooling and
heating technologies, processes, and systems for food preservation,
as well as improvements for control and monitoring systems that aim
to foster energy efficiency, equipment safety, and performance.
Additionally, it looks at concepts that may be useful for the
development of new policies and legislation concerning food
preservation. Featuring research on topics such as energy
efficiency, food quality, and legislation policies, this book is
ideally designed for government officials, policymakers, food and
service industry professionals, food safety inspectors,
researchers, academicians, and students.
This book shares the latest findings on this topic, systematically
introduces readers to advances made in robotic harvesting around
the globe, and explores the relations between the development of
robotic harvesting and the respective social/economic conditions
and agricultural business patterns in various countries/regions.
Due to the unstructured setting it is used in, and to the
significant differences between individual fruit and vegetable
targets, robotic harvesting is currently considered to be one of
the most challenging robotics technologies. Accordingly, research
into this area involves the integration of various aspects,
including biomechanics, optimization design, advanced perception
and intelligent control. In addition to rapid and damage-free
robotic harvesting, which reflects the multidisciplinary nature of
the topic, further aspects addressed include gripping collisions
with viscoelastic objects, using lasers to cut plant material,
plant-fruit response to vacuum sucking and pulling, and performance
probability distribution. Highlighting outstanding innovations and
reflecting the latest advances in intelligent agricultural
equipment in China, the book offers a unique and valuable resource.
In recent years, there has been growing attention devoted to the
implementation of information and communication technology in
agriculture and rural development. While evidence has linked ICT to
an increase in gross domestic product, it has prompted a global
dedication to the research of the socio-economic benefits,
trade-offs, and policy implications of ICT consumption in
developing countries. E-Agriculture and Rural Development: Global
Innovations and Future Prospects is a comprehensive collection of
research on the emerging trends and advances in the global use of
information and communication technology in agriculture and rural
development. Consisting of case studies, implementation frameworks,
and policies, this book provides a global perspective and
understanding of the developments in e-agriculture and rural
development.
This book provides a global review of the mechanisms, incidence and
control measures related to the problems of soil compaction in
agriculture, forestry and other cropping systems. Among the
disciplines which relate to this subject are soil physics, soil
mechanics, vehicle mechanics, agricultural engineering, plant
physiology, agronomy, pedology, climatology and economics.
The volume will be of great value to soil scientists,
agricultural engineers, and all those involved with irrigation,
drainage and tillage. It will help to facilitate the exchange of
information on current work throughout the world, as well as to
promote scientific understanding and stimulate the development,
evaluation and adoption of practical solutions to these widespread
and urgent problems.
This book takes stock of micro irrigation systems (MIS), the
technological intervention in India's agricultural and water
management sectors, over the past couple of decades. Based on
empirical research from the major agriculturally dynamic states,
viz., Gujarat, Rajasthan, Maharashtra, Tamil Nadu, Andhra Pradesh
and Karnataka, the book provides a nuanced understanding and
objective assessment of the implementation and adoption of MIS
across these states. It addresses several of the questions related
to adoption and impacts of MIS in India. On the adoption side, the
key question that the book addresses is which segment of the
farming community adopts MIS across states? The impacts analysed
include those on physical, agronomic and economic aspects. At the
macro level, the question being asked is about the future potential
of MIS in terms of saving water from agriculture and making more
water available for environment. The book also addresses the
question of the positive/negative externalities and real social
benefits and costs from the use of MIS, a major justification for
heavy capital subsidies for its purchase by farmers. It also brings
out certain critical concerns pertaining to MIS adoption, which
need to be addressed through more empirical research based on
longitudinal panel/ cross sectional data. The book would be of
great use to researchers (agricultural water management, irrigation
economics), students of water resource engineering, irrigation
engineering and water resources management, as well as to policy
makers and agricultural water management experts - national and
international.
The rise in population and the concurrently growing consumption
rate necessitates the evolution of agriculture to adopt current
computational technologies to increase production at a faster and
smoother scale. While existing technologies may help in crop
processing, there is a need for studies that seek to understand how
modern approaches like artificial intelligence, fuzzy logic, and
hybrid algorithms can aid the agricultural process while utilizing
energy sources efficiently. The Handbook of Research on Smart
Computing for Renewable Energy and Agro-Engineering is an essential
publication that examines the benefits and barriers of implementing
computational models to agricultural production and energy sources
as well as how these models can produce more cost-effective and
sustainable solutions. Featuring coverage on a wide range of topics
such as bacterial foraging, swarm intelligence, and combinatorial
optimization, this book is ideally designed for agricultural
engineers, farmers, municipal union leaders, computer scientists,
information technologists, sustainable developers, managers,
environmentalists, industry professionals, academicians,
researchers, and students.
During the last few years, many journal articles have shown the
usefulness of the Additive Main Effects and Multiplicative
Interaction (AMMI) model for analyzing regional yield trials. AMMI
helps agronomists and breeders in several ways: to understand or
model complex data sets, especially the interactions; to estimate
yields more accurately, even with less data; to make better
selections; and to design more efficient yield-trial experiments.
This book is the first systematic treatment of these topics,
collecting concepts from the scattered literature and also
presenting many new results. Although agricultural applications are
emphasized here, AMMI is applicable to two-way data tables
containing one kind of data, either replicated or not, so AMMI
appears in many areas of science and technology.
The volume's first seven chapters review the agricultural and
statistical principles and the final chapter indicates the
difference that AMMI can make for agricultural research and world
food supplies. This book will be of great value to agricultural
scientists throughout the world, enabling them to learn more from
their data and thereby make greater progress.
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