Time-Series Detection of Leaf Wetness Using a CNN-LSTM-Based Vision System in Strawberry Farming
- 13 March 2026
- journal article
- research article
- Published by Springer Nature in Journal of Biosystems Engineering
- Vol. 51 (1) , 19
Abstract
No abstract availableKeywords
Funding Information
- Florida Strawberry Research and Education Foundation, Inc. (FSREF) and the Florida Foundation Seed Producers, Inc.
This publication has 25 references indexed in Scilit:
- SASP: Segment any strawberry plant, an end-to-end strawberry canopy volume estimationSmart Agricultural Technology, 2025
- Advanced canopy size estimation in strawberry production: a machine learning approach using YOLOv11 and SAMComputers and Electronics in Agriculture, 2025
- Non-contact leaf wetness measurement with laser-induced light reflection and RGB imagingBiosystems Engineering, 2024
- Highly sensitive graphene oxide leaf wetness sensor for disease supervision on medicinal plantsComputers and Electronics in Agriculture, 2022
- Evaluation of a multi-model approach to estimate leaf wetness duration: an essential input for disease alert systemsTheoretical and Applied Climatology, 2022
- Citrus advisory system: A web-based postbloom fruit drop disease alert systemComputers and Electronics in Agriculture, 2020
- UAV-based multispectral remote sensing for precision agriculture: A comparison between different camerasISPRS Journal of Photogrammetry and Remote Sensing, 2018
- Evaluation of leaf wetness duration models for operational use in strawberry disease-warning systems in four US statesInternational Journal of Biometeorology, 2016
- Development of a web-based disease forecasting system for strawberriesComputers and Electronics in Agriculture, 2011
- Leaf wetness duration measurement: comparison of cylindrical and flat plate sensors under different field conditonsInternational Journal of Biometeorology, 2006