AI in Farming – The Digital Revolution in Modern Agriculture (English eBook) 🌾🤖
🌾 Farming is changing. Are you ready?
This simple English eBook explains how AI, drones, soil sensors, smart irrigation and crop-disease apps are helping Indian farmers. They help save water, fertilizer and money.
✅ 7 easy chapters + glossary and checklist
✅ Real prices, subsidy information and case studies
✅ No technical background needed
⚡ Instant PDF download after purchase
₹399.00 Original price was: ₹399.00.₹99.00Current price is: ₹99.00.
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Everything You Get With This Product
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📘 AI in Farming eBook (PDF, 64 pages, clickable contents)
🚁 Chapter on drones and satellites: prices, DGCA/RPTO basics, and the SMAM subsidy (40–80% under the scheme)
🌱 Smart soil testing and fertilizer management, with sensor price comparison
💧 Smart drip irrigation and sensor-based water planning
🍃 Crop-disease detection with apps (Plantix, Agrio, BharatAgri)
📈 Market price forecasting and crop planning
🚀 The next 5 years of smart farming and agri-startup ideas
🧾 Case studies with cost and savings tables
❓ Summary and Q&A at the end of the chapters
📖 Glossary, resource directory, “Getting Started” checklist and “Common Mistakes” page
See What’s Inside
AI in Farming eBook – Look inside: real pages from the eBook. Simple language, clear tables and real photos.




Everything You Need to Know About This Product
🌾 AI in Farming eBook is a practical guide for farmers and for anyone curious about modern agriculture. It explains complex technology in plain, simple English.
You will learn:
- 🤖 What AI is, and how precision agriculture tells you when, how much and where to act
- 🚁 How drones and satellite images spot crop problems early
- 🌱 How digital soil tests replace the 3–6 week wait for lab reports
- 💧 How sensors and smart drip irrigation save water and electricity
- 📱 How to photograph a leaf and get disease advice in minutes
- 📊 How price forecasting helps you choose crops and sell at the right time
Every chapter has a summary, a “Question to Think About” and FAQs. The book also includes example case studies with Before vs After tables from Maharashtra farms.
⚠️ Results in the case studies depend on farm, crop, season and local conditions. They are examples, not guarantees.
Designed to Deliver Practical Value
See the key ways this product can help you learn, create, work or grow more effectively.
💰 Cut costs: know the right quantity of water, fertilizer and spray
⏱️ Save time: early warnings instead of late surprises
🧭 Decide with confidence: compare drone, sensor and app prices before you spend
🏛️ Find support: subsidy and training information in one place
📚 Learn at your pace: short sections, tables and checklists, no jargon
Is This Product Right for You?
👨🌾 Farmers and farm families
🎓 Agriculture students
🧑🏫 Teachers and trainers
🚀 Young agri-entrepreneurs
🏢 Anyone curious about smart farming
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₹399.00 Original price was: ₹399.00.₹99.00Current price is: ₹99.00.
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Questions Before You Buy?
📘 What format is this?
A PDF eBook. Open it on your mobile, tablet or laptop.
⚡ How do I get it?
Right after purchase you get a download page. Click the button and open it in Google Drive to download or save.
🌐 Which language is it in?
Simple Indian English. A Marathi and a Hindi edition are also available at SmartDigito.
🧑🌾 Do I need technical knowledge?
No. Every term is explained, and there is a glossary at the end.
💸 Are the savings guaranteed?
No. The figures come from the case studies and will vary with your farm, crop, season and local conditions.
💰 Are the prices in the book fixed?
No. They are indicative ranges (for example, drones and sensors). Check the current price with the seller.
🖨️ Can I print it?
Yes, for your personal use. Please do not share or resell it.
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₹399.00 Original price was: ₹399.00.₹99.00Current price is: ₹99.00.
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The book explains Artificial Intelligence, Machine Learning and precision agriculture in clear English without assuming a technical background. The examples make it easier to connect each concept with actual farm decisions.
The step-by-step section on using crop-disease apps such as Plantix and Agrio is useful for beginners. The comparison between early detection and late treatment makes the importance of timely action easy to understand.
The sections on NPK, soil pH, EC and Variable Rate Application clearly show how sensor data can improve fertilizer planning. I also liked the advice to compare vendors and verify recommendations locally before investing.
Smart irrigation is explained as a complete system combining soil-moisture sensors, weather data and automatic valves. The setup-cost discussion and real examples help readers understand both the potential benefits and the practical limitations.
The book goes beyond farm production and discusses market-price forecasting, crop planning, direct-to-consumer selling and rural agri-startup ideas. Case studies, chapter summaries and Q&A make it a practical introduction to smart farming.