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ERMES: An Earth obseRvation Model based RicE information Service

ERMES (http://www.ermes-fp7space.eu/) aims to develop a prototype of downstream services based on the assimilation of EO and in situ data within crop model. Two services are foreseen: Regional Rice Service (RRS) customised for providing public authorities with an agro-monitoring system for crop mapping, yield estimating and risk forecast and Local Rice Service (LRS) for the private sector (farmers, agro-services) providing added value information on yield variability, risk alert and crop damage at farm scale.
AUTH - Aristotelio Panepistimio Thessalonikis (Greece)
http://www.auth.gr/en
 
CNR - Consiglio Nazionale delle Ricerche (Italy)
http://www.cnr.it/sitocnr/home.html
 
DEMETER - Hellenic Agricultural Organization (Greece)
http://www.nagref-her.gr/en
 
SARMAP SA (Switzerland)
http://www.sarmap.ch/index.php
 
UJI - Universitat Jaume I de Castellon (Spain)
http://ujiapps.uji.es/
 
UVEG - Universitat de Valencia (Spain)
http://www.uv.es/
 
2019 - European Journal of Agronomy, 103, 108-116
Downscaling rice yield simulation at sub-field scale using remotely sensed LAI data.
Gilardelli, C., Stella, T., Confalonieri, R., Ranghetti, L., Campos-Taberner, M., García-Haro, F.J., Boschetti, M.
2019 - Sensors, 19, 981
Estimating crop nutritional status using smart apps to support nitrogen fertilization. A case study on paddy rice.
Paleari, L., Movedi, E., Vesely, F.M., Thoelke, W., Tartarini, S., Foi, M., Boschetti, M., Nutini, F., Confalonieri, R.
2019 - BMC Bioinformatics, 20, 514
Predicting rice blast disease: machine learning versus process-based models
Nettleton, D.F., Katsantonis, D., Kalaitzidis, A., Sarafijanovic-Djukic, N., Puigdollers, P., Confalonieri, R.
2019 - Agricultural Systems, 168, 181-190
A high-resolution, integrated system for rice yield forecasting at district level.
Pagani, V., Guarneri, T., Busetto, L., Ranghetti, L., Boschetti, M., Movedi, E., Campos-Taberner, M., Garcia-Haro, F.J., Katsantonis, D., Stavrakoudis, D., Ricciardelli, E., Romano, F., Holecz, F., Collivignarelli, F., Granell, C., Casteleyn, S., Confalonieri, R.
2018 - Computers and Electronics in Agriculture, 154, 80-92
An operational workflow to assess rice nutritional status based on satellite imagery and smartphone apps.
Nutini, F., Confalonieri, R., Crema, A., Movedi, E., Paleari, L., Stavrakoudis, D., Boschetti, M.
2017 - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 5423-5441.
Downstream services for rice crop monitoring in Europe: from regional to local scale.
Busetto, L., Casteleyn, S., Granell, C., Pepe, M., Crema, A., Barbieri, M., Campos-Taberner, M., Casa, R., Collivignarelli, F., Confalonieri, R., García-Haro, J. ... Movedi, E., Nutini, F. ... Boschetti, M.
2016 - Remote Sensing, 8, 202-17
Multitemporal monitoring of plant area index in the Valencia rice district with PocketLAI.
Campos-Taberner, M., García-Haro, J., Confalonieri, R., Martínez, B., Moreno, Á., Sánchez-Ruiz, S., Gilabert, M.A., Camacho, F., Boschetti, M., Busetto, L.
2015 - Biosystems Engineering, 135, 21-30
Improving in vivo plant nitrogen content estimates from digital images: trueness and precision of a new approach as compared to other methods and commercial devices
Confalonieri, R., Paleari, L., Movedi, E., Pagani, V., Orlando, F., Foi, M., Barbieri, M., Pesenti, M., Cairati, O., La Sala, M.S., Besana, R., Minoli, S., Bellocchio, E., Croci, S., Mocchi, S., Lampugnani, F., Lubatti, A., Quarteroni, A., De Min, D., Signorelli, A., Ferri, A., Ruggeri, G., Locatelli, S., Bertoglio, M., Dominoni, P., Bocchi, S., Sacchi, G.A., Acutis, M.

  • Contact us

    • Address: Via Celoria, 2
                       20133 Milan ITALY
      Phone: +39 02 503 16515
      Email: info@cassandralab.com

  • About Cassandra

    • Cassandra is a research group at the University of Milan. Main research lines deal with the analysis of biophysical systems aimed at developing software solutions for agro-environmental studies, ranging from smart apps to complex systems for large area applications targeting crop monitoring, yield forecast, early warning, in silico ideotyping.

      @ 2014-2020 Cassandra


  • Programma di Sviluppo Rurale

    • Il Gruppo di ricerca CassandraLab partecipa ad una iniziativa realizzata nell’ambito del Programma Regionale di Sviluppo Rurale 2014 - 2020 (FEASR).

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