Real Time Detection of Soil Moisture in Winter Jujube Orchard Based on NIR Spectroscopy

Abstract : The measurement and control of soil moisture are the key technologies of precision agriculture. In order to real-time detect soil moisture content faster and more accurately, a portable soil moisture sensor based on NIR spectroscopy was developed. With the sixty soil samples collected from a winter jujube orchard, a linear regression model was established. The determination coefficients of the calibration ($R^2_c$) and validation ($R^2_v$) reached 0.88 and 0.92, respectively. The model passed F-test and t-test and showed robust. Subsequently, two spatial distribution maps of soil moisture were generated based on the data obtained by the portable soil moisture detector and the data obtained by oven drying method, respectively. Finally, the correlation between these two maps was investigated by using the software of Surfer 8.0. The zones of dry and wet soil could be distinguished easily in both maps. The results of the study showed that the developed detector was practical.
Type de document :
Communication dans un congrès
Daoliang Li; Yingyi Chen. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. Springer, IFIP Advances in Information and Communication Technology, AICT-393 (Part II), pp.447-455, 2013, Computer and Computing Technologies in Agriculture VI. 〈10.1007/978-3-642-36137-1_52〉
Liste complète des métadonnées

Littérature citée [19 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01348262
Contributeur : Hal Ifip <>
Soumis le : vendredi 22 juillet 2016 - 15:57:59
Dernière modification le : vendredi 22 juillet 2016 - 16:04:37
Document(s) archivé(s) le : dimanche 23 octobre 2016 - 13:17:32

Fichier

978-3-642-36137-1_52_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Xiaofei An, Minzan Li, Lihua Zheng, Yumeng Liu, Yajing Zhang. Real Time Detection of Soil Moisture in Winter Jujube Orchard Based on NIR Spectroscopy. Daoliang Li; Yingyi Chen. 6th Computer and Computing Technologies in Agriculture (CCTA), Oct 2012, Zhangjiajie, China. Springer, IFIP Advances in Information and Communication Technology, AICT-393 (Part II), pp.447-455, 2013, Computer and Computing Technologies in Agriculture VI. 〈10.1007/978-3-642-36137-1_52〉. 〈hal-01348262〉

Partager

Métriques

Consultations de la notice

69

Téléchargements de fichiers

61