Situation:

The agricultural sector in Asia is facing a generational change. The ew generation often lacks the knowledge and the willingness to spend long hours in the fields. At the same time, there is a demand for greater profitability of agricultural land. Sensors that determine soil values are to be used to support farmers in their daily work, close knowledge gaps and increase field yields.

Challenges:

extreme weather conditions (intense heat, monsoon-like rain)
large fields
lack of technological connection in the fields
no power connection

The aoloa solution concept

By using a specially developed hardware platform, data can be collected and soil values determined in the ground. A comprehensive network of sensor data provides an overall picture of the entire field. For example, the data collected provides information about the pH value, dryness or nutrient content of the agricultural land. Using an AI algorithm, the sensor data is then combined with weather and environmental data as well as plant- and crop-specific data to derive actions and recommendations for action and to be able to evaluate and record the work of harvesters.