CPDMS: a database system for crop physiological disorder management

Database (Oxford) 2025-05-14

Summary:

As the importance of precision agriculture grows, scalable and efficient methods for real-time data collection and analysis have become essential. In this study, we developed a system to collect real-time crop images, focusing on physiological disorders in tomatoes. This system systematically collects crop images and related data, with the potential to evolve into a valuable tool for researchers and agricultural practitioners. A total of 58 479 images were produced under stress conditions,...

Link:

https://pubmed.ncbi.nlm.nih.gov/40261733/?utm_source=Other&utm_medium=rss&utm_campaign=journals&utm_content=101517697&fc=None&ff=20250514043710&v=2.18.0.post9+e462414

From feeds:

📚BioDBS Bibliography » Database (Oxford)

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Authors:

Jae-Hyeon Oh, Hwang-Weon Jeong, Il Pyung Ahn, Seon-Hwa Bae, Sung Mi Kim, Eunhee Kim, Su Jung Ra, Jinjeong Lee, Hye Yeon Choi, Young-Joo Seol

Date tagged:

05/14/2025, 04:37

Date published:

04/22/2025, 06:00