البرنامج A · Foundations of Agricultural AI
Introduction to Artificial Intelligence in Agriculture
What AI is, how it works on the farm, and how to use it responsibly.
هذا المحتوى غير متاح بلغتك بعد ويُعرض بالإنجليزية.
ما ستتعلّمه
- Explain in plain language what artificial intelligence, machine learning and generative AI are
- Describe the main sources of agricultural data and what makes data trustworthy
- Follow how a model turns data into a prediction and a prediction into a recommendation
- Recognize practical AI applications across the crop season, from planning to harvest
- Identify the limits and failure modes of agricultural AI and when to challenge a recommendation
- Apply principles of data ownership, privacy and responsible use on your own operation
عن هذه الدورة
Artificial intelligence is arriving in agriculture through irrigation controllers, satellite services, farm management software and the phones in growers' pockets. This course gives you a clear, practical understanding of what that technology is, how it works, and how to use it well.
You will learn the core ideas behind AI and machine learning without equations, see how agricultural data becomes a prediction and then a recommendation, and follow AI through the season — from planning and irrigation to crop health and harvest. Above all, you will learn to judge AI output: when to trust it, when to question it, and how to keep human judgment and farm knowledge in charge.
The course is designed for growers, operators, agronomists, managers and students. No technical background is required.
المنهج
4 وحدات · 17 درسًا
الوحدة 1 · What AI means for agriculture4 درسًا
Core ideas and why they matter now.
- Welcome to the course 5 دقيقة
- From rules to learning: what AI is (and isn't) 12 دقيقة
- Why agriculture is turning to AI now 10 دقيقة
- Module 1 quiz 8 دقيقة
الوحدة 2 · How agricultural AI works4 درسًا
From data to model to recommendation.
- Data: the raw material of agricultural AI 14 دقيقة
- Models, training and predictions 14 دقيقة
- From prediction to recommendation 12 دقيقة
- Module 2 quiz 8 دقيقة
الوحدة 3 · AI across the season5 درسًا
Practical applications from planning to harvest.
- Planning and planting 10 دقيقة
- Case study: irrigation and water management 15 دقيقة
- Crop health monitoring from above and up close 12 دقيقة
- Harvest, markets and the supply chain 10 دقيقة
- Module 3 quiz 8 دقيقة
الوحدة 4 · Using AI responsibly4 درسًا
Limits, data rights and confident, critical use.
- Limits, errors and when to challenge a recommendation 12 دقيقة
- Data ownership, privacy and trust 10 دقيقة
- Practical exercise: evaluate an AI recommendation 15 دقيقة
- Course summary and next steps 6 دقيقة
المتطلبات المسبقة
None. Curiosity about how technology can support agricultural work is all you need.
التقييم
- درجة النجاح
- 80%
- الحد الزمني
- 30 دقيقة
- المحاولات المسموح بها
- غير محدودة
- الانتظار بين المحاولات
- 60 دقيقة
يُتاح التقييم النهائي بعد إكمال جميع الدروس الإلزامية.
المدرّبون
AGRO-AI agronomy, data science and product teams