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IoT in Agriculture
AI in Farming Without the Hype: Disease, Yield and Irrigation Prediction

← IoT in Agriculture

1What Is IoT on a Farm? Measure, Send, Decide, Act7m
2Soil Moisture Sensors Explained: Content vs Tension, Placement, Errors7m
3Microcontrollers on the Farm: Field Nodes, Sleep Cycles and Gateways5m
4Farm Connectivity: Wi-Fi, Zigbee, LoRaWAN and Cellular IoT Compared5m
5Powering Farm Sensors: Sleep Modes, Solar Panels and Batteries6m
6Farm Data Explained: MQTT, Cloud, Dashboards and Smart Alerts5m
7Actuators and Relays on the Farm: Pumps, Valves, Vents and Safe Wiring5m
8Smart Irrigation: Soil Moisture, Evapotranspiration and Automatic Valves6m
9Greenhouse Monitoring: Sensor Layout, Alarms, Backup Power and Logs6m
10Drones and Satellites for Crops: Remote Sensing, NDVI, Thermal Cameras8m
11AI in Farming Without the Hype: Disease, Yield and Irrigation Prediction6m
12Keeping Farm IoT Working: Calibration, Upkeep, Security, Manual Backup6m

English captions are automatic and may contain mistakes.

Lesson 11 of 12 · starts 1:00:39 · 6 min

AI in Farming Without the Hype: Disease, Yield and Irrigation Prediction

← PreviousDrones and Satellites for Crops: Remote Sensing, NDVI, Thermal Cameras Next →Keeping Farm IoT Working: Calibration, Upkeep, Security, Manual Backup

Crop planning and grow-space management for growers.

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