Advancing Fruit Quality Assessment through Multimodal Data Acquisition
Fruit quality assessment stands as a pivotal area of exploration, aimed at enhancing the value and consumer satisfaction associated with fruit features. Leveraging cutting-edge advancements in computer vision, force sensing technology, and additional sensory inputs, our project aims to the development of a modular device designed for comprehensive data acquisition of blueberry fruits. By integrating a variety of sensors, including force sensors, imaging sensors, and more, we are seeks to elevate the accuracy and efficiency of fruit quality evaluation.
Project Focus:
Our project centers on addressing the following essential components:
Multisensory Data Fusion: By studying current technologies and the treats presented by each features, from various sensors, including computer vision for visual assessment, force sensors for measuring fruit firmness, and potentially other sensors to capture attributes such as wax presence, scars, fruit size, and texture. Also, by using a holistic approach throughout many sensors we intend to obtain a better understanding of each fruit’s quality.
Accurate Quality Metrics: By employing computer vision, we aim to develop advanced algorithms capable of accurately identifying and quantifying visual attributes such as wax coatings, scars, and size variations. Simultaneously, force sensors will provide quantitative data related to fruit firmness, contributing to a well-rounded quality assessment.
Modular Design: A modular design can enable us to develop easy customization and adaptation for various features and quality criteria.
Collaborative Approach: We are dedicated to fostering collaborations within the agricultural and scientific communities, encouraging knowledge sharing and the refinement of our device through real-world testing and feedback.
Potential Impact:
The outcomes of our project hold significant potential for practical applications, including:
Research and Breeding: The collected data can support plant breeders by providing valuable insights into fruit characteristics for future cultivar selection and breeding efforts.
Enhanced Quality Control: Our device may also equips producers with a comprehensive quality assessment tool…
Exploring the Unseen: By developing new sensors, we intent to uncover nuanced fruit features that are not possible with existing equipment. Also, we want to explore existing technologies from other areas/fruits and refine them for berries classification.
By developing a versatile, data-driven device, we aim to contribute to the overall improvement of agricultural practices and the enhancement of consumer satisfaction with high-quality produce. If you’re interested in collaborating with us or learning more about our endeavor, please don’t hesitate to get in touch.