Linear regression

Macroeconomics

Function (biology)

Catalysis

Cell biology

Biology

Cold storage

Statistics

Microeconomics

Applied mathematics

Economics

Biochemistry

Computer science

Botany

Food science

Evolutionary biology

Mathematics

Sigmoid function

Goodness of fit

Value (mathematics)

Environmental science

Artificial intelligence

Horticulture

Ethylene

Chemistry

Artificial neural network

Biological system

Production (economics)

Journal of Food Engineering

An estimation model following the sigmoid function of pericarp color based on the cumulative ethylene production was proposed. In the first part of the experiment, the same quintuplet samples were stored at 15 and 25 °C, respectively. In the second part, 114 tomatoes were stored at 12, 15, and 20 °C, and different triplet samples were used every time. It was concluded that the proposed model well described the behavior of the change in pericarp color in different storage temperatures. Moreover, the goodness of fit was better when the same sample was used. Another estimation method of parameters α, β, and γ of the sigmoid function at 15 °C was performed based on a linear regression using parameters α, β, and γ obtained at 12 and 20 °C. It suggested that the improvement of the goodness of fit will be achieved by the addition of data at different storage temperatures.

Development of a prediction model for the pericarp CIE a* value of mature green tomato at different storage temperatures as a function of cumulative ethylene production