Download (PDF): Smart Farming in Modern Crop Health Management
Smart farming consisting of LoRa Technology and the Internet of Things is solving the problem over how to feed a rapidly growing population across the globe.
Ursalink recently worked with our partner to implement a digital farming pilot project in Austria.
This pilot project focuses on collecting, reading and visualizing data acquired from several LoRaWAN® sensors deployed in a crop health management solution as plants need to be protected from harmful weather conditions when they are still delicate and particularly prone to diseases.
- Temperature Monitoring (heat, snow, frost warning)
- Humidity Monitoring (bacteria, viruses and fungi control)
- Sunlight Monitoring (photosynthesis)
As a matter of fact, what is fundamentally significant to crop health management is temperature, humidity and sunlight data (not saying other factors unimportant). However, it will be difficult to manually check data at times as weather conditions may continuously change during the day and also sunlight is changing accordingly.
- Replace costly wired network with a wireless network (LoRa technology is definitely affordable to everyone)
- Need a broader signal coverage (UG87 LoRaWAN® gateway has a long-range over 5km radius)
- Visualize data collected from sensors
Step 1: Ursalink UG87 LoRaWAN® gateway is installed on top of a nearby building with a great signal;
Step 2: Temp/humidity and sunlight sensors are placed at equidistant locations within certain blocks and generate data;
Step 3: Ursalink LoRaWAN® gateway collects data from sensors and pushes them to The Things Network platform (Chech out How to Connect Ursalink LoRaWAN® Gateway to The Things Network Within 3 Minutes) every 30 minutes;
Step 4: Users check data in visualized graphs on the application developed by Ursalink (you can also use a third-party application server or develop your own application). These graphs are useful to farm operators to modify their corp health management system.
Big money can be definitely saved on labor cost as this project will greatly decrease the number of farmers needed to monitor and tend growth situation of plants and streamline their operations.
Farm operators are able to adjust their plan of soil- and crop-specific fertilization and plant nutrition based on visualized information (temperature, humidity, water content, sunlight, etc.).