Mathematical Modeling in Agriculture
eBook - PDF

Mathematical Modeling in Agriculture

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

Mathematical Modeling in Agriculture

About this book

The main goal of the book is to explore the idea behind data modeling in smart agriculture using information and communication technologies and tools to make agricultural practices more functional, fruitful and profitable.

The research in the book looks at the likelihood and level of use of implemented technological components with regard to the adoption of different precision agricultural technologies. To identify the variables affecting farmers' choices to embrace more precise technology, zero-inflated Poisson and negative binomial count data regression models were utilized. Outcomes from the count data analysis of a random sample of various farm operators show that various aspects, including farm dimension, farmer demographics, soil texture, urban impacts, farmer position of liabilities, and position of the farm in a state, were significantly associated with the approval severity and likelihood of precision farming technologies.

Farm management information systems (FMIS) have constantly advanced in complexity as they have incorporated new technology, the most recent of which is the internet. However, few FMIS have fully tapped into the internet's possibilities, and the newly developing idea of precision agriculture receives little or no support in the FMIS that are now being sold. FMIS for precision agriculture must meet a few more criteria beyond those of regular FMIS, which increases the technological complexity of these systems' deployment in a number of ways. In order to construct an FMIS that meet these extra needs, the authors here evaluated various cutting-edge web-based methods. The goal was to determine the requirements that precision agriculture placed on FMIS.

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Yes, you can access Mathematical Modeling in Agriculture by Sabyasachi Pramanik,Niranjanamurthy M.,Ankur Gupta,Ahmed J. Obaid in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Agronomy. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley-Scrivener
Year
2024
Print ISBN
9781394233694
eBook ISBN
9781394233717
Edition
1
Topic
Technology & Engineering
Subtopic
Agronomy
Index
Technology & Engineering

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Chapter 1 Analyzing the Impact of Food Safety Regulations on Agricultural Supply Chains: A Mathematical Modeling Perspective
  8. Chapter 2 Modeling the Effects of Land Degradation on Agricultural Productivity: Implications for Legal and Policy Interventions
  9. Chapter 3 Mathematical Modeling of Carbon Sequestration in Agricultural Soils: Implications for Climate Change Mitigation Policies
  10. Chapter 4 Optimizing Livestock Feed Formulation for Sustainable Agriculture: A Mathematical Modeling Approach
  11. Chapter 5 Modeling the Economic Impact of Agricultural Regulations: A Case Study on Environmental Compliance Costs
  12. Chapter 6 Quantifying the Economic Benefits of Precision Agriculture Technologies: A Mathematical Modeling Study
  13. Chapter 7 Optimizing Resource Allocation in Agribusinesses: A Mathematical Modeling Approach Considering Legal Factors
  14. Chapter 8 Modeling the Dynamics of Agricultural Cooperatives and Legal Implications for Farmer Organizations
  15. Chapter 9 Optimizing Agroforestry Systems for Sustainable Agriculture: A Mathematical Modeling Approach
  16. Chapter 10 Simulating the Effects of Climate-Smart Agriculture Practices on Farm Resilience: A Mathematical Modeling Approach
  17. Chapter 11 Modeling the Dynamics of Agrochemical Regulations and Impacts on Agricultural Productivity
  18. Chapter 12 Optimizing Energy Consumption in Greenhouse Production: A Mathematical Modeling Approach
  19. Chapter 13 Analyzing the Economic and Legal Impacts of Intellectual Property Rights on Plant Breeding Innovations: A Mathematical Modeling Study
  20. Chapter 14 Simulating the Effects of Land Use Regulations on Agricultural Land Values: A Mathematical Modeling Study
  21. Chapter 15 Simulating the Effects of Agricultural Land Fragmentation on Farm Efficiency: A Mathematical Modeling Analysis
  22. Chapter 16 Simulating the Effects of Land Use Policies on Agricultural Productivity: A Mathematical Modeling Perspective
  23. Chapter 17 Quantifying the Economic Benefits of Agricultural Extension Services: A Mathematical Modeling Analysis
  24. Chapter 18 Modeling the Impact of Agricultural Investment Incentives on Rural Development: Legal and Economic Perspectives
  25. Chapter 19 Optimizing Harvest Scheduling in Agriculture: A Mathematical Modeling Approach Considering Legal Restrictions
  26. Chapter 20 Quantifying the Economic Benefits of Agricultural Data Sharing: A Mathematical Modeling Perspective
  27. Index
  28. Also of Interest
  29. EULA