Author(s): Faisal A Al-Harthy

Abstract: The rapid advancement of imaging and sensor technologies in agriculture has led to a significant transformation in the way fruit quality is assessed. Real-time monitoring is becoming essential for optimizing harvest timing, improving food safety, reducing waste, and increasing overall agricultural efficiency. This review explores the application of cutting-edge imaging and sensor technologies, such as hyperspectral imaging, near-infrared spectroscopy (NIRS), and electronic nose (e-nose) sensors, in the context of fruit quality monitoring. The paper provides a comprehensive analysis of how these technologies are applied for non-invasive, real-time detection of parameters such as ripeness, color, texture, and spoilage. The review synthesizes findings from studies published between 2015 and 2023, highlighting the technological innovations and their integration into smart agricultural practices. In addition to technological advancements, the review examines the challenges faced in the widespread adoption of these technologies, such as cost, data interpretation complexity, and scalability in resource-limited settings, particularly in India. Furthermore, it presents the opportunities these technologies offer to farmers, emphasizing their potential to optimize post-harvest management and minimize food losses. Based on a detailed analysis of the literature, this review also identifies gaps in the existing research, including the need for more field-based studies and the exploration of hybrid sensor systems. The paper concludes with recommendations for future research directions to enhance the integration of these technologies into practical, cost-effective solutions for smart agriculture.

DOI: 10.33545/2707661X.2025.v6.i2a.140

Pages: 43-50 | Views: 87 | Downloads: 29

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