A sniffer for determining fruit ripeness nondestructively, based on el
ectronic sensing of gas emissions, was developed. The sensing head con
sists of a semiconductor gas sensor located within a small cup that is
placed on the fruit surface, in this study, for a period of up to 30
seconds. Natural gases emitted by the ripening fruit accumulate in the
cup and cause a change in the sensor's conductivity. The sensor was t
ested an three muskmelon cultivars over two growing seasons. The overa
ll Bayesian maximum likelihood classification accuracy was 90.2% when
separating unripe from ripe fruit (two-way classification), and 83.0%
for sorting into three ripeness categories (unripe, half-ripe, and rip
e). Comparison of sniffer performance with traditional methods of ripe
ness determination, including flesh firmness, stem detachment force, p
ercent soluble solids, and ethylene emissions, demonstrated that perfo
rmance of the electronic sniffer had a higher degree of accuracy than
all other destructive and nondestructive methods evaluated Classificat
ion accuracy of fruit growing in the field under ambient conditions we
re comparable to fruit measured in the laboratory: 88.0% and 78.3% for
two-way and three-way classification, respectively.