| dc.description.abstract | Agriculture productivity is one of the major sectors of the Vietnam economy, which
contributes roughly 20 percent to the GDP and food to fulfill 95.54 million Vietnamese people
[1]. For thousands of years, the Vietnamese are practicing agriculture. However, some small
farmers use the outdated traditional agriculture method, which is highly sensitive to climate
change and weather extremes such as the increase of severe drought episodes and salinity
intrusion, which will pose challenges for farmers. Nowadays, the number of high-quality
laborers in the agriculture, forestry, fishery sector is decreasing, and the negative effect of
climate change on agriculture creates many kinds of crop disease, which constitute a significant
threat to crop plan on the bigger picture causes serious implication for Vietnam economic
development. Applying the new computer technology and advanced equipment to develop the
automatic leaf disease detection technique helps and provides useful information for the farmer
to identify diseases. This thesis presents image processing techniques such as image
segmentation, image classification combined with the smartphone's advanced HD camera to
propose a new way for smartphone-assisted plant disease determination. | en_US |
