Our team in Malaysia has been working to advance our project dataset by collecting more data as often as possible.
We are working to create a high quality dataset of rice disease in drone images. The more data our partners can collect the more we hope to advance our disease detection machine learning algorithms.
This process is slow and difficult because of the limitations of agriculture, having to collect the data in time with the growing crop, identifying areas of disease (which farmers are actively trying to avoid) and travelling to the rural areas to perform the collection.
By improving out system we aim to increase the rate of collection and provide a valuable service to smallholders
AgriONE 