Agronomy Algorithm
eBook - ePub

Agronomy Algorithm

  1. 252 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

About this book

Algorithim (mathematics) helps in understanding the direct and indirect relationship of plants that exist within it and other environmental factors. This book helps to understand how yield is related to different growth parameters, how growth is influenced by different environmental phenomenon, how best the resources can be used for crop production, etc. The numerical examples in the book guide a student to coordinate the different parameters and understand the subject of Agronomy well. This book is divided into thirteen chapters and covers comprehensively the different agronomic aspects to understand the science of mathematical Agronomy to meet the current and future challenges related to cropping practices.

Note: Taylor and Francis does not sell or distribute the print editions of this title in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka.

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Table of contents

  1. Cover Page
  2. Half Title Page
  3. Title Page
  4. Copyright Page
  5. Table of Contents
  6. Preface
  7. 1 Introduction
  8. 2 Plant Population
  9. 3 Seed Requirement
  10. 4 Expected Yield
  11. 5 Fertilizer Requirement
  12. 6 Nutrient Uptake and Nutrient Use Efficiency
  13. 7 Weed Control
  14. 8 Assessment of Land Use and Yield Advantage
  15. 9 Water Management
  16. 10 Moisture Content in Plants, Grains and Organic Manures
  17. 11 Growth and Development Analysis
  18. 12 Economic Studies

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Yes, you can access Agronomy Algorithm by Neetu Sharma,B.C. Sharma,Anil Kumar,Rakesh Kumar in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Programming Algorithms. We have over one million books available in our catalogue for you to explore.