Loggā uses tiny data logger devices to collect and analyze data from multiple sensors (e.g. temperature, humidity, soil moisture…). Loggā then identifies patterns and areas of concern such as identifying metrics out of optimal range (for example Vapour-Pressure Deficit or VPD which is the driving force of plant transpiration, and plays a crucial role in water and nutrient uptake, and must always stay within a specific range). Loggā can then automate equipment accordingly (watering pump, fans, lights etc…) or provide remote control of equipment, whenever human interaction is necessary.

We simplify the entire process, provide easy to digest data visualization in a dashboard, and make it an affordable solution to address a number of key challenges with a unique value proposition that optimizes water consumption, optimizes energy consumption, reduces staff load and human error, and increases crop yield and quality, all in one single system.

Loggā can identify patterns and help predict optimal amounts of water for example. It can then control water pumps or valves, optimize the watering process, avoiding overwatering and underwatering. We can also turn on/off fans to control temperature or humidity, and optimize VPD, reducing risks of mold and some diseases.

Part of any good autonomous system is monitoring and one important feature of Loggā is the ability to remotely monitor equipment status and detect equipment failures fast, reducing risks of damage to crops.

Since the system operates automatically, no staff is needed to perform operations to turn the equipment on and off, which saves precious time, and resources, especially in large farms and remote areas. And if human interaction is required, the ability to remote control an equipment at large distances saves tremendous labor time and cost.