@inproceedings{e78b4768333e4cf7bf176ec9265059ce,
title = "Predicting chlorophyll meter readings with aerial hyperspectral remote sensing for in-season site-specific nitrogen management of corn",
abstract = "Predicting chlorophyll meter readings with aerial hyperspectral remote sensing for in-season site-specific nitrogen management of corn, The objective of this study is to determine how well chlorophyll meter (CM) readings compare with hyperspectral remote sensing using a combination of different spectral bands. Two field experiments were conducted in Minnesota, USA during 2005 involving different N application rates and timings on a corn-soybean rotation field and a corn-corn rotation field. Four flights were made during the growing season using the AISA Eagle Hyperspectral Imager and CM readings were collected at four or five different growth stages. Multiple regression analyses indicated that the combination of 3-7 bands could explain 68-93% and 84-95% of the variability in CM readings in the corn-soybean and corn-corn rotation fields, respectively, showing the potential of applying the CM and aerial hyperspectral remote sensing technologies for in-season site-specific N management.",
keywords = "Chlorophyll meter readings, Corn, Hyperspectral remote sensing, In-season site-specific nitrogen management, Spatial patterns",
author = "Y. Miao and Mulla, {D. J.} and Randall, {G. W.} and Vetsch, {J. A.} and R. Vintila",
year = "2007",
language = "English (US)",
isbn = "9789086860241",
series = "Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007",
publisher = "Wageningen Ag. Press",
pages = "635--641",
editor = "Stafford, {J V}",
booktitle = "Precision Agriculture 2007 - Papers Presented at the 6th European Conference on Precision Agriculture, ECPA 2007",
note = "6th European Conference on Precision Agriculture, ECPA 2007 ; Conference date: 03-06-2007 Through 06-06-2007",
}