Evaluation of a Reduced Cost Active NDVI Sensor for Crop Nutrient Management

There are methods to increase fertilizer nitrogen use efficiency through optical sensor-based nitrogen application; however, the sensors are expensive and cost prohibitive to farmers in the developing world. This study evaluated a novel, reduced cost, prototype, and optical sensor to determine if it...

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Bibliographic Details
Published in:Journal of sensors 2012-01, Vol.2012 (2012), p.1-10
Main Authors: Crain, Jared, Ortiz-Monasterio, Ivan, Raun, William R.
Format: Article
Language:English
Subjects:
Accuracy
Agricultural production
Canopies
Cost control
Cost engineering
Developing countries
Farmers
Fertilizers
Grasses
LDCs
Maize
Methods
Nitrogen
Optimization algorithms
Pocket
Prototypes
Sensors
Wheat
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Summary:There are methods to increase fertilizer nitrogen use efficiency through optical sensor-based nitrogen application; however, the sensors are expensive and cost prohibitive to farmers in the developing world. This study evaluated a novel, reduced cost, prototype, and optical sensor to determine if it could be used with the same level of accuracy as a commercial sensor. The stability of the prototype sensor (pocket sensor) to maintain an accurate calibration over time, the effect of operator on sensor readings, and sensor performance in maize and wheat were assessed. Evaluation of the sensor performance was conducted in existing wheat and maize trials, as well as turf grass canopies at the International Maize and Wheat Improvement Center, Ciudad Obregon, Mexico.The prototype sensors were highly correlated to the commercial GreenSeeker NDVI sensor in turf grass, wheat, and maize canopies (r2>0.97, r2>0.95, and r2>0.91, resp.). The Pocket Sensors lacked some precision in comparison to the commercial sensor; however, even with the reduced precision, the cost of the sensor and robustness of N fertilizer algorithms compensate for this apparent weakness. The pocket sensor is a new and viable tool to assess wheat and maize nitrogen status and make nitrogen recommendations based upon the data collected with this sensor.
ISSN:1687-725X
1687-7268
DOI:10.1155/2012/582028