Published on February 14th, 2019 | by Emergent Enterprise0
Smart Farming: The Future of Agriculture
Farmers have many enemies: weather, insects, crop diseases, rollercoaster commodity prices – all trying to change the bottom line for the grower. As Sciforce reports at iotforall.com technology is arming farmers and growers with a host of weapons to stave off these foes. Through IoT, sensors, drones, AI, GPS and more the farm has never been more “plugged in.” It’s constantly reporting data that allows the smart farmer to make smart decisions towards a better crop or better livestock.
Illustration Above: © IoT For All
“Smart farming” is an emerging concept that refers to managing farms using technologies like IoT, robotics, drones and AI to increase the quantity and quality of products while optimizing the human labor required by production.
As a Ukrainian, my parents and grandparents lived in the era of the infamous Soviet collective farms, in which tractors were considered to be an ultimate technology. For them, a smart farm would sound like a fairy tale.
What Is a Smart Farm?
Smart Farming is an emerging concept that refers to managing farms using modern Information and Communication Technologies to increase the quantity and quality of products while optimizing the human labor required.
Among the technologies available for present-day farmers are:
- Sensors: soil, water, light, humidity, temperature management
- Software: specialized software solutions that target specific farm types or use case agnostic IoT platforms
- Connectivity: cellular, LoRa, etc.
- Location: GPS, Satellite, etc.
- Robotics: Autonomous tractors, processing facilities, etc.
- Data analytics: standalone analytics solutions, data pipelines for downstream solutions, etc.
Armed with such tools, farmers can monitor field conditions without even going to the field and make strategic decisions for the whole farm or for a single plant.
The driving force of smart farming is IoT —connecting smart machines and sensors integrated on farms to make farming processes data-driven and data-enabled.