Course Outline

Introduction to Edge AI in Agriculture for Government

  • Overview of AI applications in farming operations
  • The benefits of Edge AI for real-time decision-making in agricultural management
  • Key challenges and limitations in implementing smart agriculture solutions

AI-Powered Crop Monitoring for Government

  • Utilizing computer vision for plant health analysis to enhance crop resilience
  • Identifying crop diseases with advanced AI models to improve yield and quality
  • Implementing drone-based crop inspections to ensure timely and accurate data collection

Livestock Tracking and Behavior Analysis for Government

  • Edge AI for real-time livestock monitoring to optimize herd management
  • Behavioral analytics and anomaly detection to enhance animal welfare
  • Wearable sensors for precision livestock farming to improve operational efficiency

Automated Irrigation and Environmental Sensing for Government

  • AI-driven irrigation control systems to conserve water resources
  • Soil moisture and climate monitoring with IoT to support sustainable practices
  • Optimizing water usage with Edge AI to enhance agricultural productivity

Deploying Edge AI Models for Smart Farming for Government

  • Choosing the right AI frameworks and hardware for efficient deployment
  • Evaluating on-device processing versus cloud-based solutions to meet operational needs
  • Ensuring scalability and efficiency in Edge AI systems for long-term sustainability

Future Trends and Challenges in Agri-AI for Government

  • Ethical considerations in AI-driven agriculture to ensure responsible innovation
  • Emerging innovations in agritech and Edge AI to drive sector advancement
  • Regulatory compliance and data security concerns to protect sensitive information

Summary and Next Steps for Government

Requirements

  • Fundamental knowledge of artificial intelligence and machine learning principles for government applications
  • Familiarity with Internet of Things (IoT) devices and sensor technologies
  • General understanding of agricultural practices and associated challenges

Audience

  • Agritech professionals for government projects
  • IoT specialists
  • AI engineers
 21 Hours

Number of participants


Price per participant

Runs with a minimum of 4 + people. For 1-to-1 or private group training, request a quote.

Upcoming Courses

Edge AI for Agriculture: Smart Farming and Precision Monitoring

2026-02-25 09:30
21 hours
Providence, RI – At Rising Sun Mills
$ 4054 (Online)
$ 5854 (Classroom)

Edge AI for Agriculture: Smart Farming and Precision Monitoring

2026-03-11 09:30
21 hours
Provo, UT - Regus - Downtown Provo
$ 4054 (Online)
$ 5854 (Classroom)

Edge AI for Agriculture: Smart Farming and Precision Monitoring

2026-03-25 09:30
21 hours
Salem, OR
$ 4054 (Online)
$ 5854 (Classroom)

Edge AI for Agriculture: Smart Farming and Precision Monitoring

2026-04-08 09:30
21 hours
Salt Lake City, UT – Regus at Main Street
$ 4054 (Online)
$ 5854 (Classroom)

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