A Hybrid Prediction Model for CatBoost Tomato Transpiration Rate Based on Feature Extraction
The growth and yield of crops are highly dependent on irrigation. Implementing irrigation plans that are tailored to the specific water requirements of crops can enhance crop yield and improve the quality of tomatoes. The mastery and prediction of transpiration rate (T<sub>r</sub>) is of...
Main Authors: | Zhaoyang Tong, Shirui Zhang, Jingxin Yu, Xiaolong Zhang, Baijuan Wang, Wengang Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-09-01
|
Series: | Agronomy |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4395/13/9/2371 |
Similar Items
-
Islanding detection method for microgrids based on CatBoost
by: Ran Chen, et al.
Published: (2023-01-01) -
SOH estimation and RUL prediction of lithium batteries based on multidomain feature fusion and CatBoost model
by: Mei Zhang, et al.
Published: (2023-09-01) -
Optimizing Faulting Prediction for Rigid Pavements Using a Hybrid SHAP-TPE-CatBoost Model
by: Wei Xiao, et al.
Published: (2023-11-01) -
An Improved CatBoost-Based Classification Model for Ecological Suitability of Blueberries
by: Wenfeng Chang, et al.
Published: (2023-02-01) -
ReMAHA–CatBoost: Addressing Imbalanced Data in Traffic Accident Prediction Tasks
by: Guolian Li, et al.
Published: (2023-12-01)