Training Course on Big Data and AI for Climate-Smart Agriculture

Course Outline

Module 1: Introduction to Big Data and AI in Agriculture

ü  Fundamentals of Big Data and AI

ü  Applications of AI in modern agriculture

ü  Challenges and opportunities in Agri-Tech

ü  Key technologies driving digital agriculture

ü  Practical Session: Exploring AI tools for agricultural data analysis

Module 2: Climate-Smart Agriculture: Concepts and Frameworks

ü  Principles of Climate-Smart Agriculture (CSA)

ü  Role of technology in CSA

ü  Global case studies on CSA success stories

ü  Policy frameworks supporting CSA

ü  Practical Session: Assessing climate risks using data analytics

Module 3: Data Collection and Management for Agricultural Applications

ü  Sources of agricultural data (satellite, sensors, drones)

ü  Data preprocessing and cleaning techniques

ü  Database management for large-scale farming

ü  Cloud computing in agriculture

ü  Practical Session: Handling and visualizing agricultural datasets

Module 4: Machine Learning for Crop Yield Prediction

ü  Supervised vs. unsupervised learning in agriculture

ü  Feature selection and model training

ü  Evaluating prediction accuracy

ü  Real-world applications in yield forecasting

ü  Practical Session: Building a crop yield prediction model

Module 5: AI-Driven Precision Farming Techniques

ü  Soil health monitoring using AI

ü  Smart irrigation systems

ü  Variable rate technology (VRT)

ü  AI in fertilizer and pesticide application

ü  Practical Session: Implementing a precision farming simulation

Module 6: Remote Sensing and IoT in Agriculture

ü  Satellite imagery for crop monitoring

ü  Drones and UAVs in precision agriculture

ü  IoT sensors for real-time farm data

ü  Integrating IoT with AI for automation

ü  Practical Session: Analyzing remote sensing data

Module 7: AI for Pest and Disease Detection

ü  Image recognition for pest identification

ü  Early warning systems for disease outbreaks

ü  AI in integrated pest management (IPM)

ü  Case studies on AI-driven pest control

ü  Practical Session: Training an AI model for disease detection

Module 8: Blockchain for Transparent Agri-Supply Chains

ü  Blockchain basics and its role in agriculture

ü  Traceability and food safety applications

ü  Smart contracts for fair trade

ü  Challenges in blockchain adoption

ü  Practical Session: Simulating a blockchain-based supply chain

Module 9: Big Data Analytics for Climate Adaptation Strategies

ü  Predictive modeling for climate resilience

ü  Risk assessment and mitigation strategies

ü  Data-driven policy recommendations

ü  Community-based adaptation approaches

ü  Practical Session: Developing a climate resilience plan

Module 10: Policy and Ethical Considerations in AI for Agriculture

ü  Data privacy and security in Agri-Tech

ü  Ethical AI deployment in farming

ü  Regulatory frameworks for digital agriculture

ü  Future trends and innovations

üPractical Session: Group discussion on AI ethics in agriculture

About the Trainers

Our trainers are industry experts with extensive experience in Big Data, AI, and Climate-Smart Agriculture. They have worked with leading agricultural research institutions, tech companies, and international development organizations, ensuring practical and up-to-date knowledge delivery.

Requirements

ü  Participants should be reasonably proficient in English. 

ü  Applicants must live up to Phoenix Center for Policy, Research and Training admission criteria.

Terms and Conditions

1. Discounts: Organizations sponsoring Four Participants will have the 5th attend Free
2. What is catered for by the Course Fees: Fees cater for all requirements for the training – Learning materials, Lunches, Teas, Snacks and Certification. All participants will additionally cater for their travel and accommodation expenses, visa application, insurance, and other personal expenses.
3. Certificate Awarded: Participants are awarded Certificates of Participation at the end of the training.
4. The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
5. Approval of Course: Our Programs are NITA Approved. Participating organizations can therefore claim reimbursement on fees paid in accordance with NITA Rules.

Booking for Training

Simply send an email to the Training Officer on training@phoenixtrainingcenter.com and we will send you a registration form. We advise you to book early to avoid missing a seat to this training.

Or call us on +254720272325 / +254737566961 

Payment Options

We provide 3 payment options, choose one for your convenience, and kindly make payments at least 5 days before the Training start date to reserve your seat:

1. Groups of 5 People and Above – Cheque Payments to: Phoenix Center for Policy, Research and Training Limited should be paid in advance, 5 days to the training.
2. Invoice: We can send a bill directly to you or your company.
3. Deposit directly into Bank Account (Account details provided upon request)

Cancellation Policy

1. Payment for all courses includes a registration fee, which is non-refundable, and equals 15% of the total sum of the course fee.
2. Participants may cancel attendance 14 days or more prior to the training commencement date.
3. No refunds will be made 14 days or less before the training commencement date. However, participants who are unable to attend may opt to attend a similar training course at a later date or send a substitute participant provided the participation criteria have been met.

Tailor Made Courses

This training course can also be customized for your institution upon request for a minimum of 5 participants. You can have it conducted at our Training Centre or at a convenient location.

For further inquiries, please contact us on Tel: +254720272325 / +254737566961 or Email training@phoenixtrainingcenter.com  

Accommodation and Airport Transfer

Accommodation and Airport Transfer is arranged upon request and at extra cost. For reservations contact the Training Officer on Email: training@phoenixtrainingcenter.com or on Tel: +254720272325 / +254737566961