Statements (40)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:application_of_artificial_intelligence
|
| gptkbp:appliesTo |
agriculture
|
| gptkbp:challenge |
high implementation cost
data availability farmer training lack of digital infrastructure |
| gptkbp:enables |
resource management
supply chain optimization crop monitoring precision farming automated irrigation disease detection livestock monitoring weed detection yield prediction |
| gptkbp:example |
gptkb:Blue_River_Technology
gptkb:IBM_Watson_Decision_Platform_for_Agriculture gptkb:John_Deere_See_&_Spray gptkb:Microsoft_FarmBeats gptkb:Prospera_Technologies |
| gptkbp:goal |
reduce costs
increase productivity improve sustainability minimize environmental impact |
| gptkbp:relatedTo |
precision agriculture
agritech digital agriculture smart farming |
| gptkbp:technology |
gptkb:machine_learning
gptkb:IoT computer vision remote sensing robotics |
| gptkbp:usedBy |
gptkb:researchers
farmers governments agricultural companies |
| gptkbp:bfsParent |
gptkb:German_Research_Center_for_Artificial_Intelligence_(DFKI)
|
| gptkbp:bfsLayer |
6
|
| https://www.w3.org/2000/01/rdf-schema#label |
AI for Agriculture
|