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Models of crop growth and development were conceived originally for scientific purposes. Typically, they describe the mechanisms of crop production, development from emergence through tuber initiation to senescence determined by temperature and day-length. Growth is driven by solar radiation intercepted by the foliage. Yields are enhanced by the availability of water and nutrients and may be reduced by pests, diseases and weeds. The scientific models describing the processes involved are leaving the research institutes and increasingly are becoming a means of knowledge transfer for students, and most importantly, to growers and their intermediaries such as extensionists and consultants. Many decision support systems (DSS) have a mechanistic model core that assures their robustness and reliability. This book gives an overview of model-based DSS in potato production. Decision support systems are used by the processing industry to guide them to promising production areas and by breeders to identify the ideal genotype for such environments. Consultants and soil laboratories use them as well as farmers to optimize the use of nitrogen, water and chemicals to control insects, nematodes, late blight and weeds. The systems, making use of models and sensing techniques, improve yield and quality while allowing their users to improve the efficiency of use of resources, thus generating positive effects for profits and for the environment. The book also gives examples of new introductions of DSS and farmers responses. The book is intended for researchers wanting to bring their models to practice, students to learn bout DSS, intermediaries and growers to improve the performance of the potato industry or of other commodities for which potato serves as an example.
Models of crop growth and development were conceived originally for scientific purposes. Typically, they describe the mechanisms of crop production, development from emergence through tuber initiation to senescence determined by temperature and day-length. Growth is driven by solar radiation intercepted by the foliage. Yields are enhanced by the availability of water and nutrients and may be reduced by pests, diseases and weeds. The scientific models describing the processes involved are leaving the research institutes and increasingly are becoming a means of knowledge transfer for students, and most importantly, to growers and their intermediaries such as extensionists and consultants. Many decision support systems (DSS) have a mechanistic model core that assures their robustness and reliability. This book gives an overview of model-based DSS in potato production. Decision support systems are used by the processing industry to guide them to promising production areas and by breeders to identify the ideal genotype for such environments. Consultants and soil laboratories use them as well as farmers to optimize the use of nitrogen, water and chemicals to control insects, nematodes, late blight and weeds. The systems, making use of models and sensing techniques, improve yield and quality while allowing their users to improve the efficiency of use of resources, thus generating positive effects for profits and for the environment. The book also gives examples of new introductions of DSS and farmers responses. The book is intended for researchers wanting to bring their models to practice, students to learn bout DSS, intermediaries and growers to improve the performance of the potato industry or of other commodities for which potato serves as an example.
Potato is very sensitive to water and nitrogen applied during growth, affecting its profitability and impact on the environment. Recent scientific and technical breakthroughs enable us to make best use of water and nitrogen. This book shows how scientific knowledge works in practice, now and well into the new millennium. This systematic and comprehensive book on crop, soil and water technologies will assist producers to achieve optimal production with maximum benefit to themselves and to the environment. Crucial questions, such as: - Which sampling techniques of plants and soil are available and which should I use? - What do the data gathered mean and how do they assist me in water and nitrogen application? - Which decision support systems exist for rain-fed, irrigated, precision or organic farming? are answered. The book updates and interprets knowledge in a simple, easily understandable way. It is intended for farmers, farmers' consultants, researchers and decision makers and is also recommended for students in soil science and agronomy.
In the past 15-20 years major discoveries have been concluded on potato biology and biotechnology. Important new tools have been developed in the area of molecular genetics, and our understanding of potato physiology has been revolutionized due to amenability of the potato to genetic transformation. This technology has impacted our understanding of the molecular basis of plant-pathogen interaction and has also opened new opportunities for the use of the potato in a variety of non-food biotechnological purposes. This book covers the potato world market as it expands further into the new millennium. Authors stress the overriding need for stable yields to eliminate human hunger and poverty, while considering solutions to enhance global production and distribution. It comprehensively describes genetics and genetic resources, plant growth and development, response to the environment, tuber quality, pests and diseases, biotechnology and crop management. Potato Biology is the most valuable reference available for all professionals involved in the potato industry, plant biologists and agronomists. - Offers an understanding of the social, economic and market factors that influence production and distribution - Discusses developments and useful traits in transgenic biology and genetic engineering - The first reference entirely devoted to understanding new advances in potato biology and biotechnology
This book contains the proceedings of the Potato 2005 conference, held in Emmeloord, The Netherlands. This conference offered a platform to a diverse group of stakeholders in the potato industry to learn what science has to offer. At the same time it created an environment for scientists to learn what drives the industry in the rapidly changing world of the potato. The contributions in this book reflect the rapid developments both in the industry and in science. The nutritional aspects of the potato tuber are discussed as well as the volatile consumer moods in saturated or new markets. Latest developments in potato breeding and seed potato production are highlighted and these contributions underline how these potato sectors have been revolutionized. The present and future role of decision support systems in managing inputs of nitrogen and water and in managing pests (and thus in making potato production more sustainable) is described. Several innovations in technology development in potato production and storage are illustrated. Experts provide the latest news on crop protection, with a focus on developments in the control of the potato brown rot bacterium and late blight. Finally the trends in potato trade are described. This book shows that the potato crop is progressing globally - with increasing impact on food supply and added value - providing many opportunities for science to meet practice.
Potatoes are a crucial food crop around the world, grown in nearly 150 countries. The Handbook of Potato Production, Improvement, and Postharvest Management compiles everything you need to know about potato crop production in one well-organized reference. Leading international authorities clearly discuss the biology, genetics, breeding, diseases, and effective approaches for improvement of crop and handling after harvest. This one-of-a-kind text explores, from interdisciplinary perspectives, every aspect of potato crop management from seed germination to end use while presenting the most current research available.
This volume is the third (III) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to ‘digital transformation” within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The focus of this book (III) is on the transformation of collected information into valuable decisions and aims to shed light on how best to use digital technologies to reduce cost, inputs, and time, toward becoming more efficient and transparent. Fourteen chapters are grouped into 3 Sections. The first section of is dedicated to decisions in the value chain of agricultural products. The next section, titled Primary Production, elaborates on decision making for the improvement of processes taking place with the farm under the implementation of ICT. The last section is devoted to the development of innovative decision applications that also consider the protection of the environment, recognizing its importance in the preservation and considerate use of resources, as well as the mitigation of adverse impacts that are related to agricultural production. Planning and modeling the assessment of agricultural practices can provide farmers with valuable information prior to the execution of any task. This book provides a valuable reference for them as well as for those directly involved with decision making in planning and assessment of agricultural production. Specific advances covered in the volume: Modelling and Simulation of ICT-based agricultural systems Farm Management Information Systems (FMIS) Planning for unmanned aerial systems Agri-robotics awareness and planning Smart livestock farming Sustainable strategic planning in agri-production Food business information systems
This book describes how models are used to monitor crops and soils in precision agriculture, and how they are used to support farmers’ decisions. The introductory section starts with an overview of precision agriculture from the early days of yield monitoring in the 1980s to the present, with a focus on the role of models. The section continues with descriptions of the different kinds of models and the opportunities for their application in precision agriculture. The section concludes with a chapter on socio-economic drivers and obstacles to the adoption of precision agriculture technologies. The middle section of the book explores the state-of-the-art in modeling for precision agriculture. Individual chapters focus on the major processes in precision agriculture: water use, nitrogen and other amendments, as well as weeds, pests and diseases. The final section contains a series of short chapters that each describe a commercial, model-based service that is currently available to farmers. The book aims to provide useful information to graduate-level professionals that want to broaden their knowledge of precision agriculture; to scientists who want to learn about using academic knowledge in practical farming; and to farmers, farm consultants and extension workers who want to increase their understanding of the science behind some of the commercial software available to the farming community.
The first premise of this book is that farmers need access to options for improving their situation. In agricultural terms, these options might be manage ment alternatives or different crops to grow, that can stabilize or increase household income, that reduce soil degradation and dependence on off-farm inputs, or that exploit local market opportunities. Farmers need a facilitating environment, in which affordable credit is available if needed, in which policies are conducive to judicious management of natural resources, and in which costs and prices of production are stable. Another key ingredient of this facilitating environment is information: an understanding of which options are viable, how these operate at the farm level, and what their impact may be on the things that farmers perceive as being important. The second premise is that systems analysis and simulation have an impor tant role to play in fostering this understanding of options, traditional field experimentation being time-consuming and costly. This book summarizes the activities of the International Benchmark Sites Network for Agrotechnology Transfer (IBSNAT) project, an international initiative funded by the United States Agency for International Development (USAID). IBSNAT was an attempt to demonstrate the effectiveness of understanding options through systems analysis and simulation for the ultimate benefit of farm households in the tropics and subtropics. The idea for the book was first suggested at one of the last IBSNAT group meetings held at the University of Hawaii in 1993.