The "IIoT in Agriculture" report has been added to Research and Markets' offering.

The agriculture industry will undoubtedly become more important than ever before in the near future. According to the United Nations Food and Agriculture Organization, the world will need to produce 70% more food in 2050 than currently, in order to feed the growing population. Factors such as climate change, limited arable land, water scarcity, labour demand, distress migration, crop failures dues to outbreaks of pests and diseases, and other variables will further aggravate this demand for global food production.

To meet this demand, technology will play an important role, as farmers and agricultural companies are turning to the Industrial Internet of Things (IIoT). Global farm equipment manufacturers are looking at improving manufacturing efficiencies for their businesses and end users.

Key Topics Covered:

1. EXECUTIVE SUMMARY

  • Key Findings

2. INDUSTRIAL INTERNET OF THINGS - A RESEARCH PERSPECTIVE

  • IIoT - Emerging Themes in the Industrial Environment
  • IIoT - Key Attributes of a Smart Factory
  • The Publisher's Value Proposition in IIoT
  • Key Questions This Study Will Answer

3. INTRODUCING THE CONCEPT OF IIOT IN AGRICULTURE

  • IIoT in Agriculture - Key Topics Covered in This Study
  • Smart Digital Farm - An Overview
  • Evolution of Smart Agriculture
  • Why is Digitization Important for Agriculture?
  • Farming 4.0 Ecosystem
  • IIoT in Agriculture - Key Technologies and Potential
  • Key Benefits of IIoT in the Agricultural Value Chain

4. TOP AREAS WHERE IIOT CAN MAKE A DIFFERENCE IN AGRICULTURE

  • Precision Agriculture
  • Digital Livestock Management
  • Smart Irrigation
  • IIoT in Aquaculture
  • IIoT in Forestry and Horticulture
  • Smart Warehousing, Logistics, and Distribution
  • IIoT in Farm Fleet Management

5. DIGITAL INITIATIVES BY AGRICULTURAL OEMS

  • John Deere - Precision Agriculture Solutions
  • New Holland - Smart Fleet Management
  • AGCO - Precision Agriculture

6. EMERGING TRENDS AND BUSINESS MODELS IN AGRICULTURE

  • Deconstructing the use of Drones-as-a-Data-Service in Agriculture
  • Equipment-as-a-service (EaaS)
  • Workload Automation - Emergence of Driverless technologies
  • Global Scenario in Smart Agriculture
  • Outcome-based Agriculture
  • Agricultural Robotics
  • Smart Farming - Global Initiatives

7. GROWTH OPPORTUNITIES

  • Digital Transformation - A Global Opportunity
  • Strategic Imperatives for Success and Growth

8. KEY CHALLENGES TO ADOPTION

  • Data Ownership in Smart Farming
  • Interoperability of Different Standards
  • Making Sense of the Big Data From Agriculture

9. THE LAST WORD

For more information about this report visit https://www.researchandmarkets.com/research/f55skb/global_iiot?w=4