Dataset for precision yield estimation and mapping in manual strawberry harvesting
Abstract
This dataset contains harvest data collected during manual strawberry harvesting using instrumented picking carts (iCarritos) in two California fields over a harvest season. The data includes geo-tagged harvest mass and cart motion information recorded by load cells, a GPS receiver, and Inertial Measurement Units (IMU). The dataset enables data-driven yield estimation and mapping for manually harvested strawberries. Furthermore, the dataset could be used to optimize robotic strawberry harvest machines or harvest assist systems, such as crop transportation systems. This dataset is valuable for researchers and practitioners in precision agriculture, offering a foundation for developing scalable automation and precision agriculture technology in specialty crop harvesting.
Fields of Study & Subjects
Smart Agriculture and AI
Berry genetics and cultivation research
Agricultural Engineering and Mechanization
Publication details
- Journal / source
- DRYAD
- Publication date
- 5 January 2026
- Language
- EN
- Document type
- Dataset