The document outlines the evolution of agriculture through five key stages, from the use of machinery to precision agriculture. It highlights the benefits of IoT in agriculture such as enhancing crop management, improving efficiency, and optimizing resource usage. Additionally, it discusses specific IoT applications, including precision irrigation and crop monitoring systems, while also considering challenges such as outdated technologies and external dependencies.

1. IoT in Agriculture

2. Key Stages of Agriculture Development
• Stage 1: machinery use instead of manual labor
• Stage 2: all-round workflow mechanization, including storage and
processing
• Stage 3: common use of mineral fertilizers and chemical crop
protection agents, soil parameter change, selection
• Stage 4: genetic engineering
• Stage 5: precision agriculture
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3. Why Apply IoT in Agriculture?
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• Saving fertilizers and chemical crop protection agents
• Boosting soil fertility due to “smart” correction
• Controlling crop state and preventing its loss when stored
• Increasing machinery efficiency
• Monitoring state and location of farm animals
• Tracking processing line equipment condition

4. Special Aspects to Consider for
IoT in Agriculture
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• Outdated technologies
• Economics of agricultural enterprises is closely associated with living
organisms, their growth and development processes, which cannot be
controlled at all times
• Dependence on external factors (climate, weather, etc.)
• Seasonality

5. IoT Application in Agriculture
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• Thrusters and autopilots for agriculture machinery
• Irrigation systems considering soil state and its peculiarities
• Precise fertilizing systems
• Pest and disease control systems
• Crop storage systems
• Processing lines

6. Example: Crop Condition Monitoring and
Forecasting System
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This is a hardware-software solution consisting of:
• Autonomous wireless temperature, humidity, and CO2 sensors
• Base stations – gateways
• GPS/GLONASS receivers
• Lab facilities for imitating various conditions
• Meteorological stations and weather forecast services
• Intelligent Tibbo AggreGate IoT Platform

7. Solution Architecture
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8. System Interface Example
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9. Summary
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AggreGate IoT Platform allowed to:
• Follow the trends of beet sugar amount change for all land plots
• Prevent beet rotting processes at an early stage
• Increase sugar production rates by planning its processing in
compliance with raw material state and storage conditions
• Track agriculture machinery location and efficiency

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Learn more about AggreGate IoT solutions for Agriculture on our
website: http://aggregate.tibbo.com/industries/agriculture.html