This project by KaraAgro AI in collaboration with Makerere AI Lab will create a dataset suitable for crop type classification and detection, fruit maturity stage classification and detection, and yield estimation. Using drones, the team will collect a total of 12,000 aerial images of trees and fruits from Ghana and Uganda—including 6,000 aerial images of cashew trees and fruits from Ghana and Uganda, 3,000 aerial images of cocoa trees and fruits from Ghana, and 3,000 aerial images of coffee trees and fruits from Uganda. The team will annotate the trees with appropriate crop type labels and visible fruits with appropriate labels representing the stage of development.

This project takes us closer to transforming African agriculture into agribusiness… the dataset will allow for the development of yield estimation solutions that will provide farmers with an opportunity to make good business decisions and appropriately plan ahead for their equipment, fuel and labour needs, ensure they have enough storage available, cash-flow budgeting, and make early marketing decisions. It’d also allow for timely harvest, allowing farmers to provide healthy and fresh produce, and therefore better sales and income.

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