Professor Liangxiu Han gave a presentation, “Precision Agriculture – A Big Data Driven Approach to Crop Disease Detection”, at the Third International Workshop on “Precision Agriculture: Data Driven Approach to Crop Monitoring and Disease Diagnosis”, held in Beijing, China, 25th – 27th September 2019
On August 13-14, 2019, we had a successful face-to-face meeting, which was held in Manchester Metropolitan University, UK. During the meeting, we had discussed the project progress and achievements. Finally, we confirmed and planned the next step.
Pantoea: a newly identified causative agent for leaf blight disease in ricePaper Online
A Deep Learning-Based Approach for Automated Yellow Rust Disease Detection from High-Resolution Hyperspectral UAV ImagesPaper Online
The DJI Phantom 4 Pro has finally arrived on the 21st September !!!
Shakirin tested out the drone in the campus
We had a very successful and productive face-to face meeting, which was held in University of Malaya from 10 to 14 September 2018. During the meeting, we had discussed the project progress/achievements made so far, identified challenges and problems to execute the project, and most importantly developed an even closer relationship and understanding between two teams from different countries.
The project team from both countries also conducted a field trip to the rice field in Sekinchan in Malaysia, which provided both UK and Malaysia teams a better understanding on how to develop a practical system for better crop disease management and control.
Professor Liangxiu Han gave a presentation at the second International Workshop on Precision Agriculture: Data-Driven Approach to Crop Monitoring and Disease Diagnosis
The 2-day temporary drone deployment was held on 16th and 19th of May 2018 at five (5) different locations in IADA Barat Laut Selangor rice field. The images were taken at different height (5-meter intervals up to 40 meter) and covered various conditions of paddy health. A total of 200 images were captured during the preliminary data collection and the images were annotated for further analysis.