Texas Tech Using Remote Sensing Technology to Improve Peanut Crops
December 8, 2009
Researchers are using remote sensing to estimate biophysical characteristics including
ground cover and yield.
The economic wallop of Texas peanut products is getting an aerial boost this season
from Texas Tech University
Researchers are using a special airborne multispectral remote sensing system on an
experimental peanut crop in nearby Brownfield, a small farming community. The hi-tech
gear is used to estimate the plant’s biophysical characteristics, including ground
cover, leaf area, biomass and yield.
“Improved monitoring of peanut crops could one day help growers have a healthier crop
through improved irrigation practices and pinpoint application of fungicides,” said
, a Texas Tech professor of agricultural microclimatology with joint appointment with Texas AgriLife Research
. Maas is a participant in the project, along with Texas Tech Postdoctoral Research
Associate Nithya Rajan.
Remote sensing describes the science of identifying, observing and measuring an object
without making direct contact with it. The process involves the detection and measurement
of light in different wavelengths reflected by the object.
In this instance, the remote sensing system contains high-resolution digital cameras
fitted with narrow band-pass filters that allow the cameras to acquire imagery in
specific wavelengths of light related to plant growth. The cameras are carried by
a single-engine Cessna 172 aircraft operated by Plainview-based South Plains Precision
It’s the first year Texas Tech remote sensing experts and peanut breeding specialists
from New Mexico State University have used the method on peanuts and, so far, both
are excited about the results.
“Development of relationships between biophysical characteristics and remote sensing
data could allow routine monitoring of peanut crop growth and yield potential in producers’
fields,” said Naveen Puppala, a peanut breeder with New Mexico State University’s
Agricultural Science Center
at Clovis. “With more research on remote sensing, it will help the growers to identify
the correct time to irrigate their crops.”
Digital data taken from Texas Tech’s remote sensing imagery has already been used
to calculate vegetation values – including what’s technically called the normalized
difference vegetation index and the perpendicular vegetation index – for the peanut
canopies growing in test plots. The two indicators are used to measure the peanut
plant’s growth and leaf canopy density.
“Growing the most cost efficient peanut possible is vital to the survival of Texas
peanut production,” said Shelly Nutt, executive director at the Texas Peanut Producers
Board. “Maximizing irrigation efficiency is key to peanut production profitability.”
Georgia leads the nation in peanut production, followed by the next-largest grower,
Texas. Last year’s peanut production was record breaking with the largest crop on
record along with the highest average yield on record. Total U.S. peanut production
for 2008 was estimated at 5.1 billion pounds.
CONTACT: Stephan Maas, Professor of Agricultural Microclimatology with joint appointment
with Texas AgriLife Research, Department of Plant and Soil Science, Texas Tech University,
(806) 723-5235, or firstname.lastname@example.org