Hyperspectral-Physiological Based Predictive Model for Transpiration in Greenhouses Under Co2 Enrichment-Reference-Cited by-同舟云学术

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Hyperspectral-Physiological Based Predictive Model for Transpiration in Greenhouses Under Co2 Enrichment

Published:2023 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Ghiat Ikhlas,Govindan Rajesh,Bermak Amine,Yang Yin David,Al-Ansari Tareq

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference31 articles.

1. Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection;I Ahmad;IEEE Access,2018

2. Hyperspectral and Chlorophyll Fluorescence Imaging to Analyse the Impact of Fusarium culmorum on the Photosynthetic Integrity of Infected Wheat Ears;E Bauriegel;Sensors,2011

3. Partitioning of daily evapotranspiration using a modified shuttleworth-wallace model, random Forest and support vector regression, for a cabbage farmland;H Chen;Agric Water Manag,2020

4. XGBoost: A Scalable Tree Boosting System;T Chen;Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,2016

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1. Investigating the Integrity of Irrigation Systems Through Hyper Spectral Image Analysis;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

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