| Author(s) |
Rahman, Muhammad Moshiur
Lamb, David
Stanley, John
Trotter, Mark
|
| Publication Date |
2014
|
| Abstract |
Monitoring pasture growth rate is an important component of managing grazing livestock production systems. In this study we demonstrate a pasture growth rate (PGR) model, initially designed for very large scale satellite imagery, can be operated at a scale of metres when incorporating in-situ sensor data. A light use efficiency (LUE)-based PGR model was combined with in-situ measurements from proximal weather (temperature), plant (fAPAR) and soil (relative moisture) sensors to calculate the growth rate of a tall fescue pasture. When incorporating in-situ measurements of temperature and moisture index, the model provided an accuracy (RMSE) of 1.68 kg/ha.day (R² = 0.96, p-value ≈ 0).
|
| Citation |
17th Precision Agriculture Symposium in Australasia Proceedings, p. 100-104
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| Link | |
| Language |
en
|
| Publisher |
Society of Precision Agriculture Australia (SPAA)
|
| Title |
PA meets Lot - Integrating in-situ Sensor Data and Biomass Prediction Tools for Crops and Pastures
|
| Type of document |
Conference Publication
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| Entity Type |
Publication
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