Case Study: Triputra reduces fertilizer usage by 20% with super.AI

Optimizing Fertilizer Usage for Triputra

Triputra, a large Indonesian conglomerate, faced a heavily manual and expensive process for applying fertilizer across its vast agricultural operations. They needed to analyze millions of crop images to identify individual trees and their specific fertilization needs but lacked the capability to do so efficiently. They approached super.AI to help them harness AI for this complex task.

super.AI developed a custom computer vision model and provided an API that processed drone and satellite imagery to automatically identify trees and their features. This solution created a detailed map for targeted fertilizer application. The results were significant: Triputra achieved a 20% reduction in fertilizer usage with no impact on crop yield and automated 98% of what was previously a completely manual process.

Triputra

Yuluarjo Sentosa

Chief Technology Officer