Modeling and developing a smart interface for various drying methods of pomelo fruit (Citrus maxima) peel using machine learning approaches

Yield and structural composition of pomelo peel pectins extracted under acidic and alkaline conditions

Yuree Wandee, Dudsadee Uttapap, Petra Mischnick · Food Hydrocolloids · 2018 · 239 citations

Agriculture, Food Science, Food Analysis +10

Pomelo (Citrus maxima) pectin: Effects of extraction parameters and its properties

Pawadee Methacanon, Jaruwan Krongsin, Chaiwut Gamonpilas · Food Hydrocolloids · 2013 · 214 citations

Agriculture, Food Science, Food Analysis +13

Comparison of Artificial Neural Network (ANN) and Response Surface Methodology (RSM) in the Prediction of Quality Parameters of Spray-Dried Pomegranate Juice

Sh. Youssefi, Zahra Emam‐Djomeh, Mohammad Mousavi · Drying Technology · 2009 · 158 citations

Agriculture, Food Science, Food Analysis +16

ANFIS and ANNs model for prediction of moisture diffusivity and specific energy consumption potato, garlic and cantaloupe drying under convective hot air dryer

Mohammad Kaveh, Vali Rasooli Sharabiani, Reza Amiri Chayjan et al. · Information Processing in Agriculture · 2018 · 157 citations · Full text

Agriculture, Agricultural Engineering, Food Science +16

Potential application of infrared assisted freeze drying (IRAFD) for banana snacks: Drying kinetics, energy consumption, and texture

Apinya Khampakool, Salinee Soisungwan, Sung‐Hee Park · LWT · 2018 · 129 citations

Agriculture, Food Science, Nutritional Sciences +17