The detector, installed in cameras in the field, can help to detect diseases of rice by taking images on a regular basis. These pictures will be uploaded onto the cloud services for analysis (using Scratch AI). The taken pictures will be sent to ThinkSpeak to synchronize with the stored data to generate the analysis results.

Once the diseases are detected, the system will provide advice on what chemical shall be used to cure the diseases.

Up to now, the system was able to analyse six samples. Through time, we will be able to add and analyse more and different diseases, not only for rice, but other produce too.

There is a push to find medical equipment that may be used to help COVID-19 patients. A team of young students, aged 12-15, in the Mekong River Delta in Vietnam, is working on an initiative to develop a prototype for a low-cost breathing machine. 30 club members have been guided by Dariu’s technical advisors to assemble two different designs, including an open-source blueprint from the Massachusetts Institute of Technology (MIT). Some parts of the ventilator are 3D-printed by the students. There are groups of university lecturers, students, and researchers trying to develop the prototype in Vietnam. However, these are the youngest kids being on a life-saving mission.