Makerere Passion Fruit Disease Detection Challenge
$1 000 USD
Can you identify which passion fruit are diseased and which are healthy?
174 data scientists enrolled, 9 on the leaderboard
ClassificationComputer VisionImageSDG2
Uganda
13 August—10 October
Starts in 19 days

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. If successful, this model will be deployed as part of a device to aid smallholder farmers in making a prompt diagnosis in their passion fruit crops.

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.