Prediction Model of Nitrogen, Phosphorus, and Potassium Fertilizer Application Rate for Greenhouse T...
Prediction Model of Nitrogen, Phosphorus, and Potassium Fertilizer Application Rate for Greenhouse Tomatoes under Different Soil Fertility Conditions
About this item
Full title
Author / Creator
Yu, Xiaoyu , Luo, Yuzhu , Bai, Bing , Chen, Xin , Lu, Caiyan and Peng, Xiuyuan
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
To reach the target yield of crops, nutrient management is essential. Selecting the appropriate prediction model and adjusting the nutrient supply based on the actual situation can effectively improve the nutrient utilization efficiency, crop yield, and product quality. Therefore, a prediction model of the NPK fertilizer application rate for greenh...
Alternative Titles
Full title
Prediction Model of Nitrogen, Phosphorus, and Potassium Fertilizer Application Rate for Greenhouse Tomatoes under Different Soil Fertility Conditions
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_350bb72a04dd4c27a93bc25ed373cf7c
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_350bb72a04dd4c27a93bc25ed373cf7c
Other Identifiers
ISSN
2073-4395
E-ISSN
2073-4395
DOI
10.3390/agronomy14061165
