Computer Vision: A Technology Accelerator for Agriculture 4.0
Description
Computer Vision: A Technology Accelerator for Agriculture 4.0
In this Market Perspective, IDC analyzes the current and future intersection of computer vision (CV) technologies and agriculture. In particular, this report provides background on the evolution of the agricultural and CV markets, identifies current and future CV-enabled use cases within agriculture, and establishes a maturity assessment score for each identified use case. In summary, IDC sees great potential for the application of CV tools and technology within agriculture."Computer vision has the power to revolutionize agriculture in ways we have only begun to realize. From seeing the unseeable to the automation of record keeping the potential of computer vision has barely been cracked for food production." says Dr. Aron Cory, Research Manager for IDC's Worldwide Agriculture program."The high rate of manual, repetitive processes found within the agricultural sector aligns nicely with the strengths of computer vision technologies," says Matt Arcaro, Research Director Computer Vision and AI technologies. "Although the potential is there, CV ecosystem providers will need to ensure that current and future solutions respect the unique nuances within agriculture."
Please Note: Extended description available upon request.
In this Market Perspective, IDC analyzes the current and future intersection of computer vision (CV) technologies and agriculture. In particular, this report provides background on the evolution of the agricultural and CV markets, identifies current and future CV-enabled use cases within agriculture, and establishes a maturity assessment score for each identified use case. In summary, IDC sees great potential for the application of CV tools and technology within agriculture."Computer vision has the power to revolutionize agriculture in ways we have only begun to realize. From seeing the unseeable to the automation of record keeping the potential of computer vision has barely been cracked for food production." says Dr. Aron Cory, Research Manager for IDC's Worldwide Agriculture program."The high rate of manual, repetitive processes found within the agricultural sector aligns nicely with the strengths of computer vision technologies," says Matt Arcaro, Research Director Computer Vision and AI technologies. "Although the potential is there, CV ecosystem providers will need to ensure that current and future solutions respect the unique nuances within agriculture."
Please Note: Extended description available upon request.
Table of Contents
17 Pages
- Executive Snapshot
- New Market Developments and Dynamics
- Introduction
- Critical Challenges Facing Agriculture Today
- Embracing Innovation and Agriculture 4.0
- What Is CV?
- Common Horizontal CV Use Cases
- How Organizations Gain Access to CV
- Understanding the CV Life-Cycle Process
- Investigating the State of CV Adoption in Agriculture
- Agricultural Domains: Unique Requirements for Different Functions
- Agronomy: Imaging "Sources" Support Different CV Functions
- Satellite-Enabled Use Cases
- Unmanned Aerial Vehicle–Enabled Use Cases
- Unmanned Ground Vehicle–Enabled Use Cases
- Fixed-Mounted Camera Enabled Use Cases
- Livestock: Key Areas of Focus for CV
- Husbandry
- Operations
- Animal Behavioral Analysis
- Diseases and Illness
- Processing: CV Provides Use Cases
- Sorting and Grading
- Diseases and Spoilage
- Livestock Inspection
- Identifying and Evaluating CV-Enabled Use Cases in Agriculture
- Advice for the Technology Buyer
- Learn More
- Related Research
- Synopsis
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