The future of crop modeling for sustainable agriculture
eBook - PDF

The future of crop modeling for sustainable agriculture

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

The future of crop modeling for sustainable agriculture

Book details
Table of contents
Citations

About This Book

Crop growth simulation models have become increasingly important as accepted tools with uses in education, research, crop management, industry, and government policy decisions related to improving and sustaining agricultural production of food, feed, fiber, and ecosystem services. This chapter begins with a brief review of history of crop modeling that has led to excellent collaborations among the world's crop modeling community. It discusses present and future potential uses of crop models in education, academic research, plant breeding, strategic crop management, in-season advisory tools, famine risk tools, climate change impact assessment, ecosystem services, sustaining long-term soil fertility, and integration with livestock and economic models. It concludes with a look to the future with a review of what is new in crop models, the processes that need improvement, along with suggestions of new features needed.

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Yes, you can access The future of crop modeling for sustainable agriculture by Kenneth Boote in PDF and/or ePUB format, as well as other popular books in Tecnología e ingeniería & Agricultura sostenible. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Burleigh Dodds Science Publishing
Year
2019
ISBN
9781786765284
Topic
Tecnología e ingeniería
Subtopic
Agricultura sostenible

Table of contents

  1. 1 Introduction
  2. 2 The AgMIP decade of multiple crop model evaluations and improvements
  3. 3 Expanding the role of agroecosystems modeling
  4. 4 Crop models in the classroom
  5. 5 Crop modeling for plant breeding and genetics
  6. 6 The role of crop models in strategic crop planning and management
  7. 7 The role of crop models in real-time decision-making by agricultural enterprises
  8. 8 The role of crop models in government policy: predicting famine risk
  9. 9 The role of crop models in government policy: predicting and mitigating the impacts of climate change
  10. 10 The role of crop models in assessing ecosystem services and resource use
  11. 11 The role of crop models in assessing long-term soil fertility and sustainability
  12. 12 The impact of machine learning and big data on agroecosystem models
  13. 13 Connecting agroecosystem models to other components of farming: livestock and whole-farm models
  14. 14 What is new in modeling agroecosystems?
  15. 15 What improvements are needed in crop models?
  16. 16 Where to look for further information
  17. 17 References