In my opinion, you can employ the Artificial Intelligence Network in Agricultural, it’ very interesting sector at future. So, I suggest for the first, to use Supervised architecture, for example, Deep learning with CNN architecture for classification Spaces that contain areas suitable for planting vegetables or Protection of the field from animals that eat the seedlings …. etc.
I hope that be Claire for you and helpful. @ Amine Mohammed Taberkit
Monitoring of changes in area under different land uses over time would be one fascinating area of research , provided crop spectral signatures are well delineated .
for example, in PlantVillage project ( https://plantvillage.psu.edu/ ) some leaf images (by smartphones) are used to identify possible threats and diseases.
Unfortunately, smartphones are expensive in low-income countries. Maybe drones can be introduced (by the government) to take photos, which are then analyzed through the PlantVillage Neural Network system.
You can read more on this problem and our proposal: https://ieeexplore.ieee.org/abstract/document/9116997
There are several things you need to consider for both drones and applications in the field of agriculture. The best option for the agriculture side would be to talk to the experts for the specific area. For the drones, If you consider selecting ready-to-fly types you need to think the capacity of them (is drone enough to carry cameras, wireless communication systems, or desired any other gears for agricultural purposes).
In my opinion, you can employ the Artificial Intelligence Network in Agricultural, it’ very interesting sector at future. So, I suggest for the first, to use Supervised architecture, for example, Deep learning with CNN architecture for classification Spaces that contain areas suitable for planting vegetables or Protection of the field from animals that eat the seedlings …. etc.
I hope that be Claire for you and helpful. @ Amine Mohammed Taberkit