Influence of sensor calibration on forecasting models for vineyard disease detection

1st Workshop on Metrology for Agriculture and Forestry

农业科学;数学

Sanna, F.^1^3 ; Deboli, R.^1 ; Calvo, A.^2 ; Merlone, A.^3

IMAMOTER-CNR, Istituto per le Macchine Agricole e Movimento Terra, Consiglio Nazionale Ricerche, Strada delle Cacce, 75, Torino

10135, Italy^1

DiSAFA Dipartimento di Scienze Agrarie, Forestali e Alimentari, Universita Degli Studi di Torino, Largo Paolo Braccini, 2, Grugliasco (TO)

10095, Italy^2

INRiM - Istituto Nazionale di Ricerca Metrologica di Torino, Strada delle Cacce 91, Torino

10135, Italy^3

关键词: Calibration procedure;    Choice of instruments;    Disease detection;    Forecasting models;    Measurement uncertainty;    Meteorological variables;    Reference sensors;    Sensor calibration;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/275/1/012020/pdf
DOI  :  10.1088/1755-1315/275/1/012020

学科分类：农业科学（综合）

来源: IOP

【 摘 要 】

The evolution of vineyard diseases, such as downy mildew, are depending by temperature, humidity and rain. Fungicides are used to control these pathologies, with considerable economic costs, negative effects on environment, human health and wine quality. In order to identify fungicide sprays periods, several forecasting models were proposed. These tools require accurate knowledge of meteorological variables. These models give great contribution to farmers and technicians, nevertheless, do not consider the quality of the input data in terms of evaluation of measurement uncertainty and traceability to the reference sensors. The inclusion of the sensors' calibration and the influence of weather instrument positioning, affects the disease prediction up to 5 days. Therefore, the choice of instrument position and calibration procedure becomes a matter of importance in agriculture.