Development of management support systems


This line refers to the development of systems to support agromanagement practices. Systems are based on the integration of different technologies, like simulation models, smart apps, satellite imagery.

Examples of these systems deal (i) with the development of early warning services supporting agrochemical application in case of risk of infection from fungal pathogens, and (ii) with the development of systems to support variable-rate top-dressing nitrogen fertilization.

References:

Paleari, L., Movedi, E., Vesely, F.M., Thoelke, W., Tartarini, S., Foi, M., Boschetti, M., Nutini, F., Confalonieri, R., 2019. Estimating crop nutritional status using smart apps to support nitrogen fertilization. A case study on paddy rice. Sensors, 19, 981.

Nutini, F., Confalonieri, R., Crema, A., Movedi, E., Paleari, L., Stavrakoudis, D., Boschetti, M., 2018. An operational workflow to assess rice nutritional status based on satellite imagery and smartphone apps. Computers and Electronics in Agriculture, 154, 80-92.

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.

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.