About this document
Apple Fruit Growth Modeling Techniques by Rahi Malowa is a document available to read on EtoBox.
The document consists of multiple research papers focusing on modeling fruit growth, particularly apples, using various methods and models. Key findings include the use of statistical models like Gompertz and logistic models for diameter predictions, machine learning algorithms for size estimation, and advanced imaging techniques for fruit detection. Overall, the studies demonstrate robust methodologies for accurately predicting fruit growth and size across different cultivars and conditions.
- Author
- Rahi Malowa
- Language
- EN