Neural bruise prediction models for fruit handling and machinery evaluation
نویسندگان
چکیده
منابع مشابه
Cultivar and fruit size influence bruise susceptibility and some physical properties of apple fruit
ABSTRACT- For most fruit types, including apples, bruising is the most common type of postharvest mechanical injury. Bruise susceptibility was investigated in 3 commercial cultivars (‘JazzTM’, ‘Granny Smith’ and ‘Fuji’) and among a range of 4 different fruit sizes (commercial counts of 135, 120, 100, and 88) in each cultivar. Bruising was carried out by dropping a uniform round steel ball (110g...
متن کاملInvestigation and Evaluation of Rolling Resistance Prediction Models for Pneumatic Tires of Agricultural Vehicles
Wheel numeric and different versions of mobility numbers are important models for predicting the rolling resistance. In this study, data related to the rolling resistance of cross ply and radial ply tires were compared with the resultant values from several models. Also, the preciseness of models in rolling resistance prediction was evaluated. For this purpose F test and 1-1 line method (p≥ 0.0...
متن کاملComparison of Artificial Neural Network and Regression Models for Prediction of Body Weight in Raini Cashmere Goat
The artificial neural networks (ANN) are the learning algorithms and mathematical models, which mimic the information processing ability of human brain and can be used to non linear and complex data. The aim of this study was to compare artificial neural network and regression models for prediction of body weight in Raini Cashmere goat. The data of 1389 goats for body weight, height at withers ...
متن کاملMethods for Handling Missing Variables in Risk Prediction Models.
Prediction models should be externally validated before being used in clinical practice. Many published prediction models have never been validated. Uncollected predictor variables in otherwise suitable validation cohorts are the main factor precluding external validation. We used individual patient data from 9 different cohort studies conducted in the United States, Europe, and Latin America t...
متن کاملPrediction limit estimation for neural network models
A novel method for estimation of prediction limits for global and local approximating neural networks is presented. The method partitions the input space using self-organizing feature maps to introduce the concept of local neighborhoods, and calculates limits that indicate the extent to which one can rely on predictions for making future decisions.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Computers and Electronics in Agriculture
سال: 1997
ISSN: 0168-1699
DOI: 10.1016/s0168-1699(97)00022-7