Data-Driven Farming: Using Data for Smarter Decisions and Better Farm Management

Program Summary

Start Dates

Duration

Fees

Learning Activities

Course Overview

Harnessing Technology & Analytics for Smart, Profitable, and Sustainable Agriculture

Modern agriculture is rapidly evolving, and data-driven decision-making is now at the core of highly efficient, productive, and sustainable farming.

Farmers and agribusinesses that utilize real-time data, precision agriculture, IoT sensors, and AI-powered analytics are outperforming traditional farming methods in yield optimization, resource efficiency, risk management, and market intelligence.

The Data-Driven Farming Program is designed to equip farmers, agronomists, agribusiness investors, and agricultural professionals with the latest digital tools, analytical skills, and data management techniques to transform farming operations.

This in-person and hands-on program will provide practical training in precision farming, remote sensing, farm data analytics, AI-driven forecasting, and financial modeling, ensuring participants can make smarter, faster, and more profitable farm management decisions.

By the end of the program, participants will earn a Data-Driven Farming Certification, positioning them as leaders in the digital agriculture revolution.

What You Will Achieve

1

Master Precision Agriculture Techniques

Learn how to use real-time farm data, GPS mapping, and IoT sensors to enhance productivity.

2

Optimize Farm Resources & Reduce Waste

Implement data-driven irrigation, soil health monitoring, and crop management strategies to maximize yield while minimizing costs.

3

Strengthen Financial & Risk Management

Utilize data analytics for market forecasting, budgeting, and investment decision-making in agriculture.

Program Curriculum

Module 1

Introduction to Data-Driven Farming & Precision Agriculture

Understand the role of data in modern agriculture and how it improves farm productivity.
Learn how precision agriculture works, including GIS mapping, satellite imagery, and IoT-based farm monitoring.
Explore case studies of successful data-driven farms.
Set up a data collection and analysis framework for your farm.

Module 2

Farm Data Collection & Analysis Tools

Learn how to use IoT sensors, drones, weather stations, and soil health monitors for real-time data collection.
Implement smart farm management systems (FMS) to track inputs, growth cycles, and harvest schedules.
Understand data security, cloud storage, and database management for farm analytics.
Develop a farm data dashboard to visualize productivity trends.

Module 3

Artificial Intelligence & Big Data in Agriculture

Explore AI-powered farm decision-making tools and their applications in crop and livestock management.
Use predictive analytics and machine learning models for yield forecasting, pest detection, and disease prevention.
Learn about automated irrigation, robotics in farming, and self-learning agri-software.
Develop a machine learning-based farm optimization strategy for better efficiency.

Module 4

Smart Financial Planning & Risk Management with Data Analytics

Use data models to track farm expenses, optimize cost structures, and forecast returns on investment.
Learn how to predict price fluctuations and market trends using data-driven insights.
Implement automated financial tracking systems for budgeting, cost-benefit analysis, and investment decisions.
Develop a risk mitigation plan using predictive analytics for climate variability and market uncertainty.

Module 5

Digital Supply Chain & Market Intelligence for Farming

Learn how to optimize logistics, track produce distribution, and reduce post-harvest losses with blockchain and AI-driven tracking.
Use real-time market data to predict demand, identify profitable markets, and negotiate better prices.
Explore e-commerce, agribusiness platforms, and mobile payment systems for direct farmer-to-consumer sales.
Develop a data-driven market entry strategy for high-value crops and livestock.

Module 6

IoT, Drones & Remote Sensing for Sustainable Farming

Understand how drone technology, GPS mapping, and remote sensing improve farm management.
Learn how to integrate IoT-enabled smart irrigation and automated farm monitoring systems.
Implement precision spraying and fertilizer application based on AI-driven crop needs assessment.
Develop an IoT-enabled farm plan using smart sensors and automation technologies.

Why Study at the Nigerian College of Agribusiness?

No other institution in Africa offers such a comprehensive approach to agribusiness and development sector education as the Nigerian College of Agribusiness. We provide a unique blend of academic rigor, practical expertise, and industry connections. Here, you will learn from experienced faculty members who are experts in their fields and deeply engaged with the latest advancements in their industries.

We leverage interdisciplinary knowledge and the latest research to enhance our programs, ensuring they are relevant and impactful. At NCA, you will continuously engage with thought leaders who are constantly shaping the dynamics of their industries and after graduation, you will be a life-long member of a vibrant alumni community that continually foster cross-disciplinary learning and networking.

Admission Process

STEP 1: Complete the Application for Admission Form for the course

STEP 2: A non-refundable application fee of N20,000 applies and will be deducted from the tuition upon enrollment. This is payable into
Zenith Bank
Account Name: Nigerian College of Agribusiness
Account Number: 1228461510

STEP 3: Attach receipt of Application fee with your highest academic credential and submit to: [email protected]

STEP 4: Upon successful evaluation of your application, you will receive your Admission Letter indicating acceptance into the program. The Letter will also contain details of enrollment into the Course.
Click on the link below to fill the application form for this course

Tuition Fees

Local: N450,000

International Students: $400

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