1. EXECUTIVE SUMMARY
2. MARKET SNAPSHOT
2.1. Market Overview
2.2. Market Definition
2.3. Scope of the Study
2.4. Market Segmentation
3. BUSINESS LANDSCAPE
3.1. Market Drivers
3.2. Market Restraints
3.3. Market Opportunities
3.4. Porter's Five Forces Analysis
3.5. Industry Value Chain Analysis
3.6. Policies and Regulations
3.7. Strategic Recommendations
4. TECHNOLOGICAL OUTLOOK
5. UNITED STATES AI IN AGRICULTURE MARKET BY TECHNOLOGY
5.1. Introduction
5.2. Machine Learning
5.3. Computer Vision
5.4. Predictive Analytics
5.5. Natural-Language Processing (NLP)
6. UNITED STATES AI IN AGRICULTURE MARKET BY APPLICATION
6.1. Introduction
6.2. Precision Farming
6.3. Livestick Monitoring
6.4. Drone Analytics
6.5. Smart Greenhouse Management
6.6. Supply-Chain and Post-Harvest Optimization
7. UNITED STATES AI IN AGRICULTURE MARKET BY COMPONENT
7.1. Introduction
7.2. Hardware
7.3. Software Platforms
7.4. Services
8. UNITED STATES AI IN AGRICULTURE MARKET BY DEPLOYMENT MODE
8.1. Introduction
8.2. Cloud
8.3. On-Premise
8.4. Hybrid
9. COMPETITIVE ENVIRONMENT AND ANALYSIS
9.1. Major Players and Strategy Analysis
9.2. Market Share Analysis
9.3. Mergers, Acquisitions, Agreements, and Collaborations
9.4. Competitive Dashboard
10. COMPANY PROFILES
10.1. IBM Corporation
10.2. Microsoft Corporation
10.3. Deere and Company
10.4. Trimble Inc
10.5. Bayer Crop Science
10.6. Prospera Technologies Ltd.
10.7. Gamaya SA
10.8. Aerobotics
10.9. Syngenta
10.10. Raven Industries
11. APPENDIX
11.1. Currency
11.2. Assumptions
11.3. Base and Forecast Years Timeline
11.4. Key benefits for the stakeholders
11.5. Research Methodology
11.6. Abbreviations
LIST OF FIGURES
LIST OF TABLES