| dc.creator | Fuentes-Peñailillo, Fernando | |
| dc.creator | Ortega-Farías, Samuel | |
| dc.creator | Acevedo-Opazo, Cesar | |
| dc.creator | Rivera, Marco | |
| dc.creator | Araya-Alman, Miguel | |
| dc.date | 2024-03-13T15:15:53Z | |
| dc.date | 2024-03-13T15:15:53Z | |
| dc.date | 2024 | |
| dc.date.accessioned | 2024-05-02T20:32:12Z | |
| dc.date.available | 2024-05-02T20:32:12Z | |
| dc.identifier | http://repositorio.ucm.cl/handle/ucm/5229 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9275414 | |
| dc.description | The Scholander-type pressure chamber to measure midday stem water potential (MSWP)
has been widely used to schedule irrigation in commercial vineyards. However, the limited number
of sites that can be evaluated using the pressure chamber makes it difficult to evaluate the spatial
variability of vineyard water status. As an alternative, several authors have suggested using the crop
water stress index (CWSI) based on low-cost thermal infrared (TIR) sensors to estimate the MSWP.
Therefore, this study aimed to develop a low-cost wireless infrared sensor network (WISN) to monitor
the spatial variability of MSWPs in a drip-irrigated Cabernet Sauvignon vineyard under two levels
of water stress. For this study, the MLX90614 sensor was used to measure canopy temperature (Tc),
and thus compute the CWSI. The results indicated that good performance of the MLX90614 infrared
thermometers was observed under laboratory and vineyard conditions with root mean square error
(RMSE) and mean absolute error (MAE) values being less than 1.0 ◦C. Finally, a good nonlinear
correlation between the MSWP and CWSI (R2 = 0.72) was observed, allowing the development of
intra-vineyard spatial variability maps of MSWP using the low-cost wireless infrared sensor network. | |
| dc.language | en | |
| dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Chile | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | |
| dc.source | Sensors, 24(1), 25 | |
| dc.subject | Vine water consumption | |
| dc.subject | Crop water stress index | |
| dc.subject | Spatial variability | |
| dc.subject | Irrigation | |
| dc.title | A smart crop water stress index-based io T solution for precision irrigation of wine grape | |
| dc.type | Article | |
