TOKYO—In a bid to help reduce the disease risks facing natural rubber cultivation, Bridgestone Corp. has developed a technology that uses artificial intelligence image analysis to diagnose and detect disease in Para rubber trees.
The initiative, which incorporates foliage-based rubber tree disease diagnosis technology, is a joint project with Information Services International-Dentsu Ltd. (iSiD), which is providing drone-based aerial photography and AI image analysis.
Through trials using the technology, the company has succeeded in developing one that can distinguish between healthy trees and trees with white root disease (WRD) with about 90 percent accuracy. This approach enables the diagnosis and treatment of trees with WRD at early stages, Bridgestone said, before the disease impacts rubber yield, and thereby contributes to improved productivity at rubber farms.
Natural rubber derived from Para rubber trees is a critically important raw material used in the manufacturing of tires.