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  • Ultra-portable, wireless smartphone spectrometer for rapid, non . . .
    smartphone spectrometer to rapidly evaluate ripeness of different varieties of apples using ChlF emissions when excited using UV light We observe a satisfactory correlation in the ripeness
  • Modern smart sensing technologies in the fruit supply chain . . .
    Odor assessment represents a critical dimension in determining fruit ripeness Advanced intelligent sensor technologies, such as electronic noses, fiber-optic gas sensors, and various biometric sensors, are widely used to accurately capture the aroma profiles of fruits (Toncelli, 2025)
  • AgriTera: Accurate Non-Invasive Fruit Ripeness Sensing via Sub . . .
    In this paper, we present AgriTera, a novel solution for accurate non-invasive, and contract-free fruit ripeness sensing via sub-terahertz wireless signals The key idea is that sugar and water concentrations in fruit (that are associated with fruit ripening) leave unique non-uniform footprints in the wide band spectrum of the reflected signal
  • Fast Detection of Hami Melon Ripeness Based on Features Extracted from . . .
    Abstract: This work aimed to address the desire of both melon growers and consumers for convenient, rapid, low-cost and non-destructive detection of Hami melon ripeness In this paper, a mobile phone was used to record acoustic signals generated by thumping Hami melons with different maturity levels
  • Sensing Fruit Ripeness Using Wireless Signals - IEEE Xplore
    Abstract: This paper presents FruitSense, a novel fruit ripeness sensing system that leverages wireless signals to enable non-destructive and low-cost detection of fruit ripeness Such a system can reuse existing WiFi devices in homes without the need for additional sensors
  • Acoustic vibration technology: Toward a promising fruit quality . . .
    Among them, acoustic vibration technology has received considerable attention from academics As the fruit ripens, the physical and biochemical diversities of fruit cell lead to changes in the vibration characteristics of the fruit, which verified the feasibility of assessing fruit firmness by acoustic vibration technology from the microscopic
  • Handheld, smartphone based spectrometer for rapid and nondestructive . . .
    As fruit quality judgment based on multiple parameters is complex and difficult to understand, so maturity, ripeness and optimal harvesting time in the form of various linguistic variables can be predicted using predicted quality parameters by the handheld spectrometer system
  • Sensing Fruit Ripeness Using Wireless Signals - GitHub Pages
    show that FruitSense is highly effective in detecting fruit ripeness It achieves an accuracy at over 90% in identifying the ripeness level of fruit The main contributions are summarized as follows We show that the WiFi signals can be utilized to capture the physiological changes of fruit for ripeness detection
  • Classifying watermelon ripeness by analysing acoustic signals using . . .
    acoustic data while simultaneously providing a tool to farmers and buyers that will assist them in the automatic detection of ripe fruit The benefit of making it crowd-sourcing is that we can collect watermelon acoustic data from different mobile devices, users and watermelons from many countries allowing continuous improvement of our
  • Integrated Fruit Ripeness Assessment System Based on an Artificial . . .
    This study presents a portable fruit ripeness prediction system based on colorimetric sensing combinatorics and deep convolutional neural networks (DCNN) to accurately identify fruit ripeness Using the gas chromatography–mass spectrometry (GC-MS) method, the study discerned the distinctive gases emitted by mango, peach, and banana across





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