Modeling Crop Production Systems

Modeling Crop Production Systems

Author: P Singh

Publisher: CRC Press

Published: 2008-01-01

Total Pages: 534

ISBN-13: 1482280442

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The use of simulation models is a necessity and also an aid in the decision-making process in sustainable agricultural systems. Organizing the experimental knowledge of crop production systems without the book keeping and deductive methods of mathematics is very difficult. This book aims to guide readers in the process by which the properties of th


Advances in Crop Modelling for a Sustainable Agriculture

Advances in Crop Modelling for a Sustainable Agriculture

Author: Kenneth Boote

Publisher: Burleigh Dodds Series in Agric

Published: 2019-10-22

Total Pages: 420

ISBN-13: 9781786762405

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Crop modelling has huge potential to improve decision making in farming. This collection reviews advances in next-generation models focused on user needs at the whole farm system and landscape scale.


Agricultural System Models in Field Research and Technology Transfer

Agricultural System Models in Field Research and Technology Transfer

Author: Lajpat R. Ahuja

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 374

ISBN-13: 1420032410

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Most books covering the use of computer models in agricultural management systems target only one or two types of models. There are few texts available that cover the subject of systems modeling comprehensively and that deal with various approaches, applications, evaluations, and uses for technology transfer. Agricultural System Models in Field Res


Modeling Physiology of Crop Development, Growth and Yield

Modeling Physiology of Crop Development, Growth and Yield

Author: Afshin Soltani

Publisher: CABI

Published: 2012

Total Pages: 336

ISBN-13: 1845939700

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Model studies focus experimental investigations to improve our understanding and performance of systems. Concentrating on crop modelling, this book provides an introduction to the concepts of crop development, growth, and yield, with step-by-step outlines to each topic, suggested exercises and simple equations. A valuable text for students and researchers of crop development alike, this book is written in five parts that allow the reader to develop a solid foundation and coverage of production models including water- and nitrogen-limited systems.


Food Systems Modelling

Food Systems Modelling

Author: Christian J. Peters

Publisher: Academic Press

Published: 2022-01-08

Total Pages: 390

ISBN-13: 0128221100

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Food Systems Modelling emphasizes sustainability, including the impact of agriculture and food production on profits, people and environment, with a particular focus on the ability of humanity to continue producing food in the midst of global environmental change. Sections introduce the purpose of models, the definition of a food system, the importance of disciplinary, interdisciplinary, and transdisciplinary inquiry, cover specific branches of modeling in the sustainability of food systems, and wrestle with the challenge of communicating modeling research and appropriately integrating multiple dimensions of sustainability. This book will be a welcomed reference for food scientists, agricultural scientists, nutritionists, environmental scientists, ecologists, economists, those working in agribusiness and food supply chain management, community and public health, and urban and regional planning, as well as academicians and graduate students interested in the sustainability of food systems. - Emphasizes sustainability, including the impact of agriculture and food production on profits - Focuses on the ability of humanity to continue producing food in the midst of global environmental change - Deciphers what models can teach us about food system sustainability


Systems Analysis and Modeling in Food and Agriculture

Systems Analysis and Modeling in Food and Agriculture

Author: K.C.Ting

Publisher: EOLSS Publications

Published: 2009-02-12

Total Pages: 488

ISBN-13: 1848261330

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Systems Analysis and Modeling in Food and Agriculture is a component of Encyclopedia of Food and Agricultural Sciences, Engineering and Technology Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Systems analysis and modeling is being used increasingly in understanding and solving problems in food and agriculture. The purpose of systems analysis is to support decisions by emphasizing the interactions of processes and components within a system. Frequently investigated systems level questions in agriculture and food are relevant to the 6 E's: Environment, Energy, Ecology, Economics, Education, and Efficiency. The theme on Systems Analysis and Modeling in Food and Agriculture with contributions from distinguished experts in the field provides information on key topics related to food and agricultural system. The coverage include an overview of food system; system level aspects related to energy, environment, and social/policy issues; knowledge bases and decision support; computer models for crops, food processing, water resources, and agricultural meteorology; collection and analysis methods for data from field experiments; use of models and information systems. This volume is aimed at the following a wide spectrum of audiences from the merely curious to those seeking in-depth knowledge: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.


Methods of Introducing System Models into Agricultural Research

Methods of Introducing System Models into Agricultural Research

Author: Lajpat R. Ahuja

Publisher: John Wiley & Sons

Published: 2020-01-22

Total Pages: 480

ISBN-13: 0891181806

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Why model? Agricultural system models enhance and extend field research...to synthesize and examine experiment data and advance our knowledge faster, to extend current research in time to predict best management systems, and to prepare for climate-change effects on agriculture. The relevance of such models depends on their implementation. Methods of Introducing System Models into Agricultural Research is the ultimate handbook for field scientists and other model users in the proper methods of model use. Readers will learn parameter estimation, calibration, validation, and extension of experimental results to other weather conditions, soils, and climates. The proper methods are the key to realizing the great potential benefits of modeling an agricultural system. Experts cover the major models, with the synthesis of knowledge that is the hallmark of the Advances in Agricultural Systems Modeling series.


Modeling Physiology of Crop Development, Growth and Yield

Modeling Physiology of Crop Development, Growth and Yield

Author: Afshin Soltani

Publisher: CABI

Published: 2012-01-01

Total Pages: 322

ISBN-13: 9781845939717

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Model studies focus experimental investigations to improve our understanding and performance of systems. Concentrating on crop modelling, this book provides an introduction to the concepts of crop development, growth, and yield, with step-by-step outlines to each topic, suggested exercises and simple equations. A valuable text for students and researchers of crop development alike, this book is written in five parts that allow the reader to develop a solid foundation and coverage of production models including water- and nitrogen-limited systems.


Understanding Options for Agricultural Production

Understanding Options for Agricultural Production

Author: G.Y. Tsuji

Publisher: Springer Science & Business Media

Published: 2013-03-14

Total Pages: 405

ISBN-13: 9401736243

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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.


Advances in Modeling Agricultural Systems

Advances in Modeling Agricultural Systems

Author: Petraq Papajorgji

Publisher: Springer Science & Business Media

Published: 2009-02-28

Total Pages: 522

ISBN-13: 0387751815

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Agriculture has experienced a dramatic change during the past decades. The change has been structural and technological. Structural changes can be seen in the size of current farms; not long ago, agricultural production was organized around small farms, whereas nowadays the agricultural landscape is dominated by large farms. Large farms have better means of applying new technologies, and therefore technological advances have been a driving force in changing the farming structure. New technologies continue to emerge, and their mastery and use in requires that farmers gather more information and make more complex technological choices. In particular, the advent of the Internet has opened vast opportunities for communication and business opportunities within the agricultural com- nity. But at the same time, it has created another class of complex issues that need to be addressed sooner rather than later. Farmers and agricultural researchers are faced with an overwhelming amount of information they need to analyze and synthesize to successfully manage all the facets of agricultural production. This daunting challenge requires new and complex approaches to farm management. A new type of agricultural management system requires active cooperation among multidisciplinary and multi-institutional teams and ref- ing of existing and creation of new analytical theories with potential use in agriculture. Therefore, new management agricultural systems must combine the newest achievements in many scientific domains such as agronomy, economics, mathematics, and computer science, to name a few.