1st Real life experiment: Mid-summer
The cotton field during its early stage along with the calculated path through CoFly platform is depicted as:
To demonstrate the practical enforcement of the proposed navigation algorithm in terms of avoiding NFZs/Obstacles, we considered an area within the original field as restricted, meaning that the UAV is not allowed to fly above. A direct outcome is that the path-planning algorithm managed to efficiently alter the UAV path to meet the field characteristics. More specifically, the path (i) completely covers the area of interest, (ii) does not contain bootstrapping (path crosses), and (iii) carefully avoids the NFZs.
The acquired images during the conducted mission are forwarded to the knowledge extraction module for further processing
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It can be noted that the collected data are sufficient to create a high-resolution map of the examined agricultural area, implying the robust operation of the developed path planning module.
The calculated VIs can provide a crisp overview of the crop’s health, indicating areas with relatively poor vegetation conditions.
One can see that the implemented module can efficiently detect problematic, in terms of vegetation health, field regions where the inspection mission should be deployed.
