Crop diseases, pest infestation, overfertilization, environmental impact all of these play a critical role in agricultural operations. Failing to timely identify and address the causes of poor crop quality directly leads to lower crop yields and thus significant financial damage - it’s been estimated that improper crop management can lead to an over 50% loss in expected yields.
Disease recognition at an early crop growth stage is crucial in order to take adequate preventive actions. However, traditional plant nutritional state monitoring is difficult, costly and time-consuming, especially for crops that grow in fields.
Here at ART21, we are developing innovative solutions for remote crop monitoring that combine spectral imaging technologies, aerial systems, and Artificial Intelligence data analysis techniques to ensure early detection of crop diseases as well as an accurate analysis of micro and macro nutritional elements in plants.
Our main objective is to enable farmers to predict yields, define specific management zones, and accurately calculate the required fertilizers, herbicides and other agrochemical products. Data integration in precision farming machinery is intended to be implemented alongside remote crop monitoring so that fertilizers and agrochemicals can be applied accordingly to the data analysis.