Wi-Fruit: See through fruits with smart devices

Y Liu, L Jiang, L Kong, Q Xiang, X Liu… - Proceedings of the ACM …, 2021 - dl.acm.org
People usually assess fruit qualities from external features such as color, shape, size, and
texture. However, it is quite common that we select fruits with perfect appearances but rotten …

Volatile profiles from over-ripe purée of Thai mango varieties and their physiochemical properties during heat processing

M Wongkaew, J Sangta, S Chansakaow… - Plos one, 2021 - journals.plos.org
This research investigated volatile profiles of over-ripe Thai mango purée during thermal
processing by solid-phase extraction, volatile quantification by XAD-2-solvent extraction, as …

An ontology enabled internet of things framework in intelligent agriculture for preventing post-harvest losses

P Sanjeevi, B Siva Kumar, S Prasanna… - Complex & Intelligent …, 2021 - Springer
Constituting the agriculture solid substance manufacture, the post-harvest sector processing
schema is direct to preventing reduce the losses in intelligent agriculture. Many processing …

Multi-parameter based mango grading using image processing and machine learning techniques

AD Supekar, M Wakode - INFOCOMP Journal of Computer Science, 2020 - 177.105.60.18
Mangoes, the king of fruits is globally exported and locally consumed on a large scale.
During exports and local marketing, delivering good quality fruits and satisfying certain pre …

Non-destructive fruit quality control using radioelectronics: A review

V Semenov, Y Mitelman - 2020 Ural Symposium on Biomedical …, 2020 - ieeexplore.ieee.org
this review presents non-destructive methods for determining the quality characteristics of
various fruits and vegetables, and provides comparison tables for which fruit/vegetable is …

Electrical Impedance Spectroscopy for Moisture and Oil Content Prediction in Oil Palm (Elaeis guineensis Jacq.) Fruitlets

NF Chin-Hashim, AY Khaled, D Jamaludin, S Abd Aziz - Plants, 2022 - mdpi.com
The global palm oil industry is targeting an increased oil extraction rate in oil palm milling to
meet global demand. This can be achieved through the certification of mills and adherence …

[PDF][PDF] Characterising Colour Feature Descriptors for Ficus carica L. Ripeness Classification Based on Artificial Neural Network (ANN).

IA Mazni, S Setumin, MS Osman… - Pertanika Journal of …, 2023 - 119.40.116.186
Excessive feature dimensions impact the effectiveness of machine learning, computationally
expensive and the analysis of feature correlations in the engineering area. This paper uses …

Effect of sugar beet root weight on estimation of sucrose using densitometry method versus polarimetry method

B Babaee, M Khanmohammadi Khorami… - Journal of Sugar …, 2020 - jsb.areeo.ac.ir
Estimation of sucrose content in sugar beet through density determination is notable in terms
of its non-destructiveness, inexpensive, speed and lack of destructive environmental effects …

Development of Self-Training Algorithm for Predicting Mango Maturity

NM Trieu, NT Thinh - 2022 22nd International Conference on …, 2022 - ieeexplore.ieee.org
The quality and maturity of mangoes are inhomogeneous, even when mangoes are
harvested from the same tree at the same time, however, the maturity of mangoes greatly …

PERTANIKA JOURNAL OF SOCIAL SCIENCES AND HUMANITIES

IA Mazni, S Setumin, MS Osman, MK Osman, MS Tahir - pertanika.upm.edu.my
Excessive feature dimensions impact the effectiveness of machine learning, computationally
expensive and the analysis of feature correlations in the engineering area. This paper uses …