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

被引:26
作者
do Amaral, Lucas Rios [1 ]
Molin, Jose Paulo [1 ]
机构
[1] Univ Sao Paulo, Luiz de Queiroz Coll Agr, Dep Biosyst Engn, Piracicaba, SP, Brazil
基金
巴西圣保罗研究基金会;
关键词
LEAF-AREA INDEX; IN-SEASON PREDICTION; GRAIN-YIELD; ALGORITHM; MAIZE;
D O I
10.2134/agronj2012.0504
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Methods for estimating the N response of sugarcane (Saccharum spp.) while considering a variable rate of N application are required to allow for improved nitrogen use efficiency (NUE) and higher yields. The objectives of this work were to compare the performance of three vegetation indices obtained from canopy sensor data to assess N in sugarcane fields at various crop stalk height as well as to determine the ability of these in-season sensor readings to predict the response of yield to N. Seven experiments were conducted in Brazil under different site conditions from 2009 to 2011. The treatments comprised five N application rates ranging from 0 to 200 kg N ha(-1). A CropCircle canopy sensor (model ACS-210, Holland Scientific Inc., Lincoln, NE) was used to determine the amber normalized difference vegetation index (aNDVI), chlorophyll index (CI), and inverse of the simple ratio (ISR) at different crop stalk heights. The N application increased the yield in only three fields (p < 0.1). The best results using the canopy sensor readings, chlorophyll and leaf N content were found when the average crop stalk height was between 0.4 and 0.7 m. A weak relationship was observed between the vegetation indices and N from tissue analyses. The best results were obtained with the ISR due to its high r(2), low root mean square error (RMSE), and consequently higher SEq with respect to sugarcane yield. The canopy reflectance sensor is a useful tool for identifying the variability within fields and to determine the variable rate of in-season N fertilizer application in sugarcane fields.
引用
收藏
页码:273 / 280
页数:8
相关论文
共 38 条
[11]   Estimation of forest leaf area index using vegetation indices derived from Hyperion hyperspectral data [J].
Gong, P ;
Pu, RL ;
Biging, GS ;
Larrieu, MR .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (06) :1355-1362
[12]   Derivation of a Variable Rate Nitrogen Application Model for In-Season Fertilization of Corn [J].
Holland, K. H. ;
Schepers, J. S. .
AGRONOMY JOURNAL, 2010, 102 (05) :1415-1424
[13]   Nitrogen in sugarcane derived from fertilizer under Brazilian field conditions [J].
Junqueira Franco, Henrique Coutinho ;
Otto, Rafael ;
Faroni, Carlos Eduardo ;
Vitti, Andre Cesar ;
Almeida de Oliveira, Emidio Cantidio ;
Ocheuze Trivelin, Paulo Cesar .
FIELD CROPS RESEARCH, 2011, 121 (01) :29-41
[14]   Ground-Based Canopy Reflectance Sensing for Variable-Rate Nitrogen Corn Fertilization [J].
Kitchen, Newell R. ;
Sudduth, Kenneth A. ;
Drummond, Scott T. ;
Scharf, Peter C. ;
Palm, Harlan L. ;
Roberts, Darrin F. ;
Vories, Earl D. .
AGRONOMY JOURNAL, 2010, 102 (01) :71-84
[15]   Predicting Sugarcane Response to Nitrogen Using a Canopy Reflectance-Based Response Index Value [J].
Lofton, J. ;
Tubana, B. S. ;
Kanke, Y. ;
Teboh, J. ;
Viator, H. .
AGRONOMY JOURNAL, 2012, 104 (01) :106-113
[16]   Estimating Sugarcane Yield Potential Using an In-Season Determination of Normalized Difference Vegetative Index [J].
Lofton, Josh ;
Tubana, Brenda S. ;
Kanke, Yumiko ;
Teboh, Jasper ;
Viator, Howard ;
Dalen, Marilyn .
SENSORS, 2012, 12 (06) :7529-7547
[17]   Narrow band vegetation indices overcome the saturation problem in biomass estimation [J].
Mutanga, O ;
Skidmore, AK .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2004, 25 (19) :3999-4014
[18]   Green Leaf Area Index Estimation in Maize and Soybean: Combining Vegetation Indices to Achieve Maximal Sensitivity [J].
Nguy-Robertson, Anthony ;
Gitelson, Anatoly ;
Peng, Yi ;
Vina, Andres ;
Arkebauer, Timothy ;
Rundquist, Donald .
AGRONOMY JOURNAL, 2012, 104 (05) :1336-1347
[19]  
Oliveira R. A. de, 2007, Pesquisa Agropecuaria Tropical, V37, P71
[20]   Active crop sensor to detect variability of nitrogen supply and biomass on sugarcane fields [J].
Portz, G. ;
Molin, J. P. ;
Jasper, J. .
PRECISION AGRICULTURE, 2012, 13 (01) :33-44