In the framework of the on-going research project E-Crops, several Precision Agriculture (PA) technologies are under development and testing in Italy for different agricultural systems and fields of application, at both farm and district scales. All data and information provided by these PA technologies are integrated in a common cloud platform and elaborated by a new DSS (Decision Support System), developed by ICT companies and research institutions, with the effective involvement of relevant agricultural stakeholders for preliminary field testing of software functions. The paper provides a general description of the DSS platform, in relation to: i) general software architecture; ii) key technologies and data integrated (weather data, remote sensing, soil-plant sensors, crop imaging, etc.); iii) main software modules and interfaces (Web/App); iv) list of relevant fields of application (irrigation, fertilization, disease control, yield and quality management, climate analysis, etc.), with related data sources, algorithms and approaches (model-driven vs data-driven). Finally, the following examples of application are briefly described: a) mapping fertilization requirements for open-field crops, by integrating remote sensing data, geo-spatial information and models of crop-soil nutrient balance; b) monitoring of water status and irrigation requirements of greenhouse crops, by comparing sensor-based with model-based indicators; c) estimating fruit load and quality in horticultural crops, by integrating biometric parameters, image analysis, on-field sampling and laboratory analytical data processing.

E-Crops DSS: software architecture, technologies, main functions, and examples of application

Montesano F;
2023-01-01

Abstract

In the framework of the on-going research project E-Crops, several Precision Agriculture (PA) technologies are under development and testing in Italy for different agricultural systems and fields of application, at both farm and district scales. All data and information provided by these PA technologies are integrated in a common cloud platform and elaborated by a new DSS (Decision Support System), developed by ICT companies and research institutions, with the effective involvement of relevant agricultural stakeholders for preliminary field testing of software functions. The paper provides a general description of the DSS platform, in relation to: i) general software architecture; ii) key technologies and data integrated (weather data, remote sensing, soil-plant sensors, crop imaging, etc.); iii) main software modules and interfaces (Web/App); iv) list of relevant fields of application (irrigation, fertilization, disease control, yield and quality management, climate analysis, etc.), with related data sources, algorithms and approaches (model-driven vs data-driven). Finally, the following examples of application are briefly described: a) mapping fertilization requirements for open-field crops, by integrating remote sensing data, geo-spatial information and models of crop-soil nutrient balance; b) monitoring of water status and irrigation requirements of greenhouse crops, by comparing sensor-based with model-based indicators; c) estimating fruit load and quality in horticultural crops, by integrating biometric parameters, image analysis, on-field sampling and laboratory analytical data processing.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/492221
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact