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Soil Moisture Sensor Information Enhanced by Statistical Methods in a Reclaimed Water Irrigation Framework.
Giorgio, Anthony; Del Buono, Nicoletta; Berardi, Marco; Vurro, Michele; Vivaldi, Gaetano Alessandro.
Affiliation
  • Giorgio A; Ernst & Young, 70126 Bari, Italy.
  • Del Buono N; Dipartimento di Matematica, Università degli Studi di Bari Aldo Moro, Via E. Orabona 4, 70125 Bari, Italy.
  • Berardi M; Istituto di Ricerca sulle Acque, Consiglio Nazionale delle Ricerche, Via F. De Blasio 5, 70132 Bari, Italy.
  • Vurro M; Istituto di Ricerca sulle Acque, Consiglio Nazionale delle Ricerche, Via F. De Blasio 5, 70132 Bari, Italy.
  • Vivaldi GA; Dipartimento di Scienze Agro Ambientali e Territoriali, Università degli Studi di Bari Aldo Moro, Via G. Amendola 165/A, 70126 Bari, Italy.
Sensors (Basel) ; 22(20)2022 Oct 21.
Article in En | MEDLINE | ID: mdl-36298410
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Soil / Agricultural Irrigation Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sensors (Basel) Year: 2022 Document type: Article Affiliation country: Italia Country of publication: Suiza
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Soil / Agricultural Irrigation Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Sensors (Basel) Year: 2022 Document type: Article Affiliation country: Italia Country of publication: Suiza