Machine learning techniques for classifying the sweetness of watermelon using acoustic signal and image processing

Expression pattern of sugars and organic acids regulatory genes during watermelon fruit development

(2020) Umer Muhammad Jawad et al.   SCIENTIA HORTICULTURAE

Review on the recent progress of non-destructive detection technology for internal quality of watermelon

(2018) Dengfei Jie et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Non-destructive prediction of internal and external quality attributes of fruit with thick rind: A review

(2018) Ebrahiema Arendse et al.   JOURNAL OF FOOD ENGINEERING

Watermelon and melon fruit quality: The genotypic and agro-environmental factors implicated

(2018) Marios C. Kyriacou et al.   SCIENTIA HORTICULTURAE

Rapid and nondestructive techniques for internal and external quality evaluation of watermelons: A review

(2017) Maimunah Mohd Ali et al.   SCIENTIA HORTICULTURAE

Firmness prediction and modeling by optimizing acoustic device for watermelons

(2016) Jianhua Mao et al.   JOURNAL OF FOOD ENGINEERING

Spatial accumulation pattern of citrulline and other nutrients in immature and mature watermelon fruits

(2016) Kinya Akashi et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Using machine learning techniques for evaluating tomato ripeness

(2015) Nashwa El-Bendary et al.   EXPERT SYSTEMS WITH APPLICATIONS

Configuration of watermelon fruit quality in response to rootstock-mediated harvest maturity and postharvest storage

(2015) Marios C Kyriacou et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Using visible and near infrared diffuse transmittance technique to predict soluble solids content of watermelon in an on-line detection system

(2013) Dengfei Jie et al.   POSTHARVEST BIOLOGY AND TECHNOLOGY

Entropy-Based Approach to Analyze and Classify Mineral Aggregates

(2010) Lilian Tais de Gouveia et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING