Modeling Seed Longevity and Percentile Prediction: A Sigmoidal Function Approach in Soybean, Maize, and Tomato

Modeling Seed Longevity and Percentile Prediction: A Sigmoidal Function Approach in Soybean, Maize, and Tomato

This study aims to evaluate the behavior of seed longevity in soybean, maize, and tomato stored under controlled conditions using Logistic and Boltzmann sigmoidal models. Additionally, it seeks to determine the performance of these models in predicting <inline-formula><math xmlns="http...

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Bibliographic Details
Main Authors: Felipe Souza Carvalho, Brunna Rithielly Rezende, Amanda Rithieli Pereira dos Santos, Maria Márcia Pereira Sartori
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:AgriEngineering
Subjects:
logistic model
Boltzmann model
Sigmoid functions
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Online Access:https://www.mdpi.com/2624-7402/7/1/5
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