Aid System for Estimating Agricultural Yield Using a Deep Learning Technique: Tomato Case
Tahirou Djara, Sekoude Jehovah-nis Pedrie Sonon, Aziz Sobabe & Abdul-Qadir Sanny · Current Journal of Applied Science and Technology · 2024
The precision of traditional methods for estimating crop yield is a major challenge, particularly for large areas. To improve this process, we developed a tomato detection and localization system using deep learning techniques. The system uses Faster-RCNN, a cutting edge technolo...
Open access
Research Article
10.9734/cjast/2024/v43i24350