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oneoclockc/makerere-fall-armyworm-crop-challenge

Domain:

agriculture

Record type:

project
Creator:
one
Host:
zindi.africa # makerere-fall-armyworm-crop-challenge(TEAM PROJECT) zindi.africa # Description Fall armyworm is a devastating pest in Africa, where it has no natural predators - African farmers say the pest causes average maize losses of 31% annually. Maize is the most widely grown crop in Africa and a staple for around half the continent’s people - over 300 million Africans depend on the crop for food and nutritional security. For smallholder farmers in particular, maize is popular for its wide adaptability, valuable by-products and high yields. Because of this reliance on staple crops for food security, Viral pests and diseases like fall armyworm are one of the leading causes of food insecurity and poverty in Africa. Thus there is an urgent need to design early intervention mechanisms to help prevent crop losses for smallholder farmers. In this challenge, your objective is to classify if a plant has been affected by a fall armyworm. This is a binary image classification challenge. The solution will be deployed as part of a mobile-based edge application which can be used by smallholder farmers in Uganda and the rest of Africa to carry out field-based diagnosis and intervene before fall armyworm devastates their maize crop for the season. # TEAM DRIVE drive.google.com

Visit

github.com

Tasks

computer visionimage classification

Similar

Makerere Fall Armyworm Crop Challenge

Makerere Fall Armyworm Crop Challenge

Can you determine if maize crops have been affected by the fall armyworm pest?
The dataset contains images of maize crop leaves collected by research scientists from the Makerere Artificial Intelligence Lab, the Marconi Machine Learning Lab, and the Nationa