Development of an Automatic Contextual Agricultural Metadata Collection App

Development of an Automatic Contextual Agricultural Metadata Collection App

Data is the base of digital agriculture. Farm activities are the metadata for production data that are often recorded manually, hence erroneous and missing data often occur. A metadata collection app for contextual agricultural activities was developed for recording detailed information on who is doing what in which field, when, and how. It was developed for android smartphones and functions as a geofence responsive field recognizer using the GPS location of the app user. It records the accessed crop fields automatically with time and facilitates a rules-driven chatbot with validated options for collecting detailed metadata about the conducted activities in that accessed field. The app was designed as a multiple-user app for multi-crop and multi-field usage and storing collected data in a cloud database. The app automatically records time, location, and operator's name, which reduces the chance of missing data, and the chatbot with validated options reduces errors in recording.