Predicting rice grain yield using normalized difference vegetation index from UAV and GreenSeeker

Author:

Nakano HiroshiORCID,Tanaka RyoORCID,Guan SenlinORCID,Ohdan Hideki

Funder

National Agriculture and Food Research Organization

Publisher

Elsevier BV

Reference36 articles.

1. Physiological response of rice to light and nitrogen;Akita,1987

2. World agriculture towards 2030/2050: the 2012 revision;Alexandratos,2012

3. Prediction of dry direct-seeded rice yields using chlorophyll meter, leaf color chart and GreenSeeker optical sensor in northwestern India;Ali;Field Crops Res.,2014

4. Non-destructive assessment of plant nitrogen parameters using leaf chlorophyll measurements in rice;Ata-Ul-Karim;Front. Plant Sci.,2016

5. Condições do ar e angulação das folhas influenciam a qualidade das pulverizações na cultura da soja?;Boller;Revista Plantio Direto,2011

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