Mobile Crop Surveillance Project
Automated Vector & Symptom Measurement project releases the Necrosis Detect app version 1.0
Author: Mutembesa Daniel
Necrosis Detect app ver 1.0
The Automated Vector & Symptom Measurement project headed by Ms. Ninsiima Flavia has resealed a version 1.0 of the Necrosis Detect app which is available in mobile and desktop application versions.
The Necrosis app is used to measure the percentage of cross sections of a harvested cassava root that has been necrotised mostly to confirm the severity of Cassava Brown Streak Disease(CBSD) and bacterial rot in some cases.
The percentages can then be used to inform the experts further what the incidence level of say CBSD are in grown cassava crop in a given area.
This is already one of the key activities included in the traditional structured cassava health surveys conducted by subject-matter experts from NaCRRI.
The toolkit is developed and tested with the collaboration of the Cassava NextGen project at NaCRRI headed by Dr. Robert Kawuki, which is program for breeding crop varieties genetically resistant to diseases like the Cassava Brown Streak Disease.
Measuring percentage of such symptomatic expressions of CBSD more accurately becomes very important.
The application is available in 3 versions: Mobile version for smartphones, a desktop version deployable on a personal computer and a Online version with a web sever to which one can register and upload their images, single or batch and download the results directly.
The sub-project is also experimenting with multiple avenues to use Deep Learning to improve the gains already made in automated vector and symptom measurement.
Here is a recap of what transpired & follow youtube.com/Mcrops_AI Research Labs
authored by: Mutembesa Daniel
Lead Researcher & Project Head | Adhoc Surveillance Project
a sub-project of mCROPS | www.mcrops.org