This is a private hackathon open to IndabaX UG 2021 participants. If you would like to participate, contact the event organisers at email@example.com.
Passion fruit pests and diseases in Uganda lead to reduced yields and decreased investment in farming over time. Most Ugandan farmers (including passion fruit farmers) are smallholder farmers from low-income households, and do not have sufficient information and means to combat these challenges. Without the required knowledge about the health of their crops, farmers cannot intervene promptly to avoid devastating losses.
The Marconi Society Machine Learning Laboratory at Makerere University is addressing the lack of a reliable, timely diagnostic platform for passion fruit diseases by developing a low-cost hand-held diagnostic device (based on the Raspberry Pi) making use of state-of-the-art machine learning techniques.
In this challenge, you will classify the disease status of a plant given an image of a passion fruit.
About Deep Learning IndabaX Uganda (indabaxug.github.io)
We introduce the IndabaX: a way to experiment with the ways in which we can strengthen our Machine Learning community, and to allow more people to contribute to the conversation. An IndabaX is a locally-organised Indaba (i.e gathering) that helps develop knowledge and capacity in machine learning and artificial intelligence in individual countries across Africa.
About Deep Learning Indaba (deeplearningindaba.com)
Support Africa’s community in AI to be owners and shapers of the advanced in technology and artificial intelligence. We do this by building communities, creating leadership, and recognising excellence in the development of machine learning and artificial intelligence across Africa.
About The Marconi Society Machine Learning Laboratory (ml.netlabsug.org)
The Marconi Society Machine Learning Laboratory, Makerere University is a research initiative of netLabs! UG, Makerere University that focuses on machine learning research in diverse areas including Agriculture, Health and Natural Language Processing.