Weather‐data‐based model: an approach for forecasting leaf and stripe rust on winter wheat-Reference-Cited by-同舟云学术

Weather‐data‐based model: an approach for forecasting leaf and stripe rust on winter wheat

Published:2020-03 Issue:2 Volume:27 Page:
ISSN:1350-4827
Container-title:Meteorological Applications
language:en
Short-container-title:Meteorol Appl

Author:

Rodríguez‐Moreno Victor M.¹,Jiménez‐Lagunes Alejandro²,Estrada‐Avalos Juan³,Mauricio‐Ruvalcaba Jorge E.⁴,Padilla‐Ramírez José S.⁴

Affiliation:

1. National Institute of Research on ForestryAgriculture, and Livestock (INIFAP). Experimental Field Station Pabellón, National Laboratory of Modeling and Remote Sensing Pabellón de Arteaga Mexico

2. State Committee of Plant Health at Sonora. Pedro Villegas 51, Col Del Razo Hermosillo Mexico

3. National Institute of Research on ForestryAgriculture, and Livestock (INIFAP). National Center of Disciplinary Research. Km 6.5 right margin Sacramento channel Gómez Palacio Mexico

4. National Institute of Research on ForestryAgriculture and Livestock (INIFAP). Experimental Field Station Pabellón, National Laboratory of Modeling and Remote Sensing, km 32.5 highway Ags‐Zac Pabellón de Arteaga Mexico

Publisher

Wiley

Subject

Atmospheric Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/met.1896

Reference37 articles.

1. Data Mining

2. Amir A.(2018)Decision tree (CART) algorithm in machine learning. Chapter 4: Decision tree (CART). Available at:https://medium.com/machine-learning-researcher/decision-tree-algorithm-in-machine-learning-248fb7de819e[accessed 24 October 2019]

3. ARS. Cereal Disease Lab. (2018)Wheat stripe rust. Available at:https://www.ars.usda.gov/midwest-area/stpaul/cereal-disease-lab/docs/cereal-rusts/wheat-stripe-rust[accessed 27 April 2018]

4. Ayub U.andMoqurrab S.(2018) Predicting crop diseases using data mining approaches: Classification. 1‐6.https://doi.org/10.1109/ICPESG.2018.8384523

5. Bergmark L.(2018)Understanding diseases. Mid‐West fertilizer. Available at:https://www.midwestfertilizerinc.com/News/Understanding-Wheat-Diseases[accessed 10 August 2017]

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