SAGRO-Lite: A Light Weight Agent Based Semantic Model …
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Wheat
Triticum
Gehun
21 o C
Tool
Cereal
Hard
24 o C
12 inches
15 inches
Tan Spot
Aestivum
Wheat
June
October
Alluvial
hasGenericName
hasSpeciesName
hasCommonName
hasRegionalName
hasCropType
hasHardiness
hasHarvesting
hasStartMonth
hasEndMonth
hasMinTemp
hasMaxTemp
hasMaxRainhasDesease
hasSoilType
Fig. 15 SAGRO-lite ontology: wheat as individual
• The actual cause of the problem is found to be the wheat leaf rust disease. By
investigating further he also figures out that the real cause is pests.
• After inputting the required information about the problem in the smart app, the
pesticide sprinklers are activated to be used to the infected area of the farm.
• The daily tasks of the MachineAgents and Machine Operators are scheduled.
• SpecificFarmAgent logs causes and solutions of the problem in order to be more
confident to diagnose a similar problem in future.
• If more inspection is required then the SpecificFarmAgent provides greater control
and tracks any changes that have been observed.