The Effectiveness of Three Vegetation Indices Obtained from a Canopy Sensor in Identifying Sugarcane Response to Nitrogen-Reference-Cited by-同舟云学术

The Effectiveness of Three Vegetation Indices Obtained from a Canopy Sensor in Identifying Sugarcane Response to Nitrogen

Published:2014-01 Issue:1 Volume:106 Page:273-280
ISSN:0002-1962
Container-title:Agronomy Journal
language:en
Short-container-title:Agron.j.

Author:

Rios do Amaral Lucas¹,Molin José Paulo¹

Affiliation:

1. Univ. of São Paulo Luiz de Queiroz College of Agriculture, Dep. of Biosystems Engineering Piracicaba SP Brazil

Funder

Ministry of Science and Technology

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.2134/agronj2012.0504

Reference39 articles.

1. Optical sensor to support nitrogen fertilization recommendation for sugarcane crops. (In Portuguese, with English abstract.) Pesqi;Amaral L.R.;Agropecu. Bras.,2011

2. Strategies to evaluate goodness of reference strips for in‐season, field scale, irrigated corn nitrogen sufficiency;Bausch W.C.;Precis. Agric.,2011

3. Algorithms for sensor-based redistribution of nitrogen fertilizer in winter wheat

4. Endophytic nitrogen fixation in sugarcane: present knowledge and future applications

5. Part 2. 2nd ed. Agron. Monogr. 9;Bremner J.M.,1982

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Indoor Plant Soil-Plant Analysis Development (SPAD) Prediction Based on Multispectral Indices and Soil Electroconductivity: A Deep Learning Approach;Horticulturae;2023-11-30

2. Application of Vegetative Indices for Leaf Nitrogen Estimation in Sugarcane Using Hyperspectral Data;Sugar Tech;2023-10-17

3. EFFECT OF DIFFERENT NITROGEN FERTILIZATION RATES ON THE SPECTRAL RESPONSE OF Brachiaria brizantha cv. MARANDÚ LEAVES;Engenharia Agrícola;2023

4. Machine learning in the prediction of sugarcane production environments;Computers and Electronics in Agriculture;2021-11

5. Structure of rhizospheric microbial community and N cycling functional gene shifts with reduced N input in sugarcane-soybean intercropping in South China;Agriculture, Ecosystems & Environment;2021-07