Satellite remote sensing for monitoring citrus orchards water requirements at the irrigation district scale
Published:31 October 2024
Abstract Views: 51
PDF: 62
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Similar Articles
- Meriem Er-Rami, Guido D'Urso, Nicola Lamaddalena, Daniela D'Agostino, Oscar Rosario Belfiore, Analysis of irrigation system performance based on an integrated approach with Sentinel-2 satellite images , Journal of Agricultural Engineering: Vol. 52 No. 2 (2021)
- Daniele Masseroni, Jasim Uddin, Reece Tyrrell, Iven Mareels, Claudio Gandolfi, Arianna Facchi, Towards a smart automated surface irrigation management in rice-growing areas in Italy , Journal of Agricultural Engineering: Vol. 48 No. 1 (2017)
- Xiong Bi, Hongchun Wang, Double-branch deep convolutional neural network-based rice leaf diseases recognition and classification , Journal of Agricultural Engineering: Vol. 55 No. 1 (2024)
- Daniela Vanella, Filippo Ferlito, Biagio Torrisi, Alessio Giuffrida, Salvatore Pappalardo, Daniela Saitta, Giuseppe Longo-Minnolo, Simona Consoli, Long-term monitoring of deficit irrigation regimes on citrus orchards in Sicily , Journal of Agricultural Engineering: Vol. 52 No. 4 (2021)
- Lorenzo Vergni, Alessandra Vinci, Francesca Todisco, Francesco Saverio Santaga, Marco Vizzari, Comparing Sentinel-1, Sentinel-2, and Landsat-8 data in the early recognition of irrigated areas in central Italy , Journal of Agricultural Engineering: Vol. 52 No. 4 (2021)
- Hossein Khaledian, Homayoun Faghih, Ata Amini, Classifications of runoff and sediment data to improve the rating curve method , Journal of Agricultural Engineering: Vol. 48 No. 3 (2017)
- Giovanni Francesco Ricci, Faouzi Zahi, Ersilia D'Ambrosio, Anna Maria De Girolamo, Giuseppe Parete, Taha-Hocine Debieche, Francesco Gentile, Evaluating flow regime alterations due to point sources in intermittent rivers: A modelling approach , Journal of Agricultural Engineering: Vol. 53 No. 2 (2022)
- Vincenzo Bagarello, Vito Ferro, Dennis Flanagan, Predicting plot soil loss by empirical and process-oriented approaches. A review , Journal of Agricultural Engineering: Vol. 49 No. 1 (2018)
- Salahudin Zahedi, Kaka Shahedi, Mahmod Habibnejad Rawshan, Karim Solimani, Kourosh Dadkhah, Soil depth modelling using terrain analysis and satellite imagery: the case study of Qeshlaq mountainous watershed (Kurdistan, Iran) , Journal of Agricultural Engineering: Vol. 48 No. 3 (2017)
- Francesca Piazzolla, Maria Luisa Amodio, Giancarlo Colelli, The use of hyperspectral imaging in the visible and near infrared region to discriminate between table grapes harvested at different times , Journal of Agricultural Engineering: Vol. 44 No. 2 (2013)
You may also start an advanced similarity search for this article.