On-site validation to support customer recommendations
Background
Advanced Agrilytics (AA) is an agronomic data analysis firm with a track record of sound science and improved profit margins for their ag partners. AA provides in-depth sub-acre field analysis and scouting to customers large and small, giving them the critical GIS pinpointed data regarding the state of their fields, which in turn gives their partners the ability to pinpoint their investments and maximize their returns.
Background
Advanced Agrilytics (AA) is an agronomic data analysis firm with a track record of sound science and improved profit margins for their ag partners. AA provides in-depth sub-acre field analysis and scouting to customers large and small, giving them the critical GIS pinpointed data regarding the state of their fields, which in turn gives their partners the ability to pinpoint their investments and maximize their returns.
Challenge
Though the agronomists at Advanced Agrilytics were doing good science, but multi-million-dollar farms require more than someone’s good word to put faith in predictions for the upcoming season. Gathering data and crunching numbers is neither glamorous nor easy to understand. AA needed a way to show its customers the data behind the figures they were providing in a way that customers could understand and appreciate.
The agronomists at Advanced Agrilytics were thorough in their science, but multi-million-dollar farms wanted more assurance in predictions for the upcoming season. Gathering data and crunching numbers is neither glamorous nor easy to understand. AA needed a way to show its customers the data behind the figures they were providing in a way that customers could understand and appreciate.
Challenge
Though the agronomists at Advanced Agrilytics were doing good science, but multi-million-dollar farms require more than someone’s good word to put faith in predictions for the upcoming season. Gathering data and crunching numbers is neither glamorous nor easy to understand. AA needed a way to show its customers the data behind the figures they were providing in a way that customers could understand and appreciate.
Solution
Skyward developed a mobile application that provides growers with a visual way to view data that supports AA’s recommendations on a field by field level.
API Encapsulation – The AA database was encapsulated in an API scheme. This makes the data within the database accessible to secure and authorized outside applications.
Data Visualization App – Skyward created a mobile application that overlays visual representations of the data AA was producing on top of the customers’ own fields. These heatmaps and data displays served to illustrate the immense amount of data and labor poured into every acre of their land.
Scouting Alerts – The app emphasized the detailed attention that AA gives to its clients’ fields by allowing the company’s field agents to create emergency alerts when creating scouting reports. These alerts allowed growers to respond to specific problems discovered in the scouting process quickly, and often recover the value of the land.
Solution
Skyward developed a mobile application that provides growers with a visual way to view data that supports AA’s recommendations on a field by field level.
API Encapsulation – The AA database was encapsulated in an API scheme. This makes the data within the database accessible to secure and authorized outside applications.
Data Visualization App – Skyward created a mobile application that overlay visual representations of the data AA was producing on top of the customers own fields. These heatmaps and data displays served to illustrate the immense amount of data and labor poured into every acre of their land.
Scouting Alerts – The app emphasized the detailed attention that AA gives to its clients’ fields by allowing the company’s field agents to create emergency alerts when creating scouting reports. These alerts allowed growers to respond to specific problems discovered in the scouting process quickly, and often recover the value of the land.