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Predicting Vegetable Crop Height and Size Using Advanced LiDAR Technology
Jenn Hoskins
29th June, 2024
![Predicting Vegetable Crop Height and Size Using Advanced LiDAR Technology](https://static.naturalsciencenews.com/images/articles/4626_main.jpg)
Image Source: Natural Science News, 2024
Key Findings
- The study by the Indian Institute of Space Science and Technology used LiDAR point clouds and a hybrid deep learning model to predict crop height and crown area for tomato, eggplant, and cabbage
- The hybrid model, combining LSTM and GRU, achieved around 80% accuracy in predicting plant height and crown area, with error rates for height prediction ranging from 5 to 12%
- The model was particularly effective during early and mid-growth stages but showed lower prediction quality at advanced growth stages, indicating a need for further refinement
VegetablesAgriculturePlant Science
References
Main Study
1) Deep learning-based prediction of plant height and crown area of vegetable crops using LiDAR point cloud.
Published 28th June, 2024
https://doi.org/10.1038/s41598-024-65322-8
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