Modeling of reference temperatures for calculating crop water stress indices from infrared thermography
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DOI: 10.1016/j.agwat.2020.106070
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- García-Tejero, I.F. & Hernández, A. & Padilla-Díaz, C.M. & Diaz-Espejo, A. & Fernández, J.E, 2017. "Assessing plant water status in a hedgerow olive orchard from thermography at plant level," Agricultural Water Management, Elsevier, vol. 188(C), pages 50-60.
- Salvador Gutiérrez & María P Diago & Juan Fernández-Novales & Javier Tardaguila, 2018. "Vineyard water status assessment using on-the-go thermal imaging and machine learning," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-18, February.
- Ballester, C. & Castel, J. & Jiménez-Bello, M.A. & Castel, J.R. & Intrigliolo, D.S., 2013. "Thermographic measurement of canopy temperature is a useful tool for predicting water deficit effects on fruit weight in citrus trees," Agricultural Water Management, Elsevier, vol. 122(C), pages 1-6.
- García-Tejero, I.F. & Costa, J.M. & Egipto, R. & Durán-Zuazo, V.H. & Lima, R.S.N. & Lopes, C.M. & Chaves, M.M., 2016. "Thermal data to monitor crop-water status in irrigated Mediterranean viticulture," Agricultural Water Management, Elsevier, vol. 176(C), pages 80-90.
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Cited by:
- Zhang, Liyuan & Zhang, Huihui & Han, Wenting & Niu, Yaxiao & Chávez, José L. & Ma, Weitong, 2022. "Effects of image spatial resolution and statistical scale on water stress estimation performance of MGDEXG: A new crop water stress indicator derived from RGB images," Agricultural Water Management, Elsevier, vol. 264(C).
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Keywords
Irrigation scheduling; Crop-water status; Thermal imaging; Prunus dulcis;All these keywords.
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