Abstract

Starting from the literature concerning applications of Data Mining (DM) for the integrated management of environmental information, in the present work an application path referred to the smart use of spatial data is traced to encourage the adoption of sustainable practices in agriculture, overcoming the limitations to the productivity related to biological agriculture. In particular, this work focuses its attention on the class of DM algorithms called "supervised algorithms" addressed to the clustering of the cultivated area of farms, illustrating its potentiality to define the typical decision making of management and planning of interventions. This approach is particularly significant for the integrated management of regionalized and environmental data to the topographical and soil features of the area that we want to model and to the physical-chemical nature of soil, to the kind of cultivation used, to the availability and quality of the water, as well as economic and socio-economic aspects.

Autore Pugliese

• Barca Emanuele

Tutti gli autori

• D'Arpa S.; Barca E.; Uricchio V.F.

Titolo volume/Rivista

Italian journal of agrometeorology

Anno di pubblicazione

2011

ISSN

2038-5625

ISBN

Non Disponibile

Numero di citazioni Wos

Nessuna citazione

Ultimo Aggiornamento Citazioni

Non Disponibile

Numero di citazioni Scopus

Non Disponibile

Ultimo Aggiornamento Citazioni

Non Disponibile

Settori ERC

Non Disponibile

Codici ASJC

Non Disponibile