A two years study results in the use of artificial neural networks to forecast Plasmopara viticola infection in viticulture.

Communications in agricultural and applied biological sciences

Volumn 72, Issue 2, 2007, Pages 321-325

  Bugliosi, R ^a   Spera, G ^a   La Torre, A ^a   Campoli, L ^a   Gianferro, M ^a   Talocci, S ^a  

^a NONE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; CLIMATE; FORECASTING; GRAPE; GROWTH, DEVELOPMENT AND AGING; METHODOLOGY; MICROBIOLOGY; OOMYCETES; PEST CONTROL; THEORETICAL MODEL; TIME;

AGRICULTURE; CLIMATE; FORECASTING; MODELS, BIOLOGICAL; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); OOMYCETES; PEST CONTROL; TIME FACTORS; VITIS;

EID: 44449171551     PISSN: 13791176     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (0)