Tainan, Taiwan

Ting-Jung Chang


Average Co-Inventor Count = 5.6

ph-index = 1

Forward Citations = 34(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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4 patents (USPTO):Explore Patents

Title: Inventor Spotlight: Ting-Jung Chang from Tainan, Taiwan

Introduction: Ting-Jung Chang is a notable inventor based in Tainan, Taiwan, with a remarkable focus on innovations in agriculture technology. With four patents to his name, his work demonstrates a commitment to enhancing agricultural practices through advanced imaging techniques.

Latest Patents: Ting-Jung Chang's latest patents include groundbreaking methods for image-guided agriculture. One significant patent outlines an apparatus and method that involves receiving images and processing them to create reflectance maps for different spectral bands. This process culminates in the generation of a multispectral image that incorporates vegetation index information of a target area, enabling effective crop condition assessments based on specific crop information. Another critical patent focuses on capturing images using various ground sampling distance values, processing these to create an orthophoto image, and performing feature classification to identify crop information and conditions utilizing vegetation indices.

Career Highlights: Chang is associated with Geosat Aerospace & Technology, where he continues to push the boundaries of agricultural innovation. His role in developing methods that harness image processing for practical agricultural applications has made a significant impact in the field.

Collaborations: Ting-Jung Chang has collaborated with talented colleagues such as Cheng-Fang Lo and Kuang-Yu Chen. Together, they contribute to pioneering solutions that leverage technology for improved efficiency and productivity in agriculture.

Conclusion: Ting-Jung Chang's contributions to the field of agricultural technology through his inventive patents highlight the importance of innovation in addressing modern agricultural challenges. His work not only advances the capabilities of image-guided agriculture but also paves the way for future innovations in the sector.

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