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Visualising Crop Growth and Predicting Harvest Revenue for Floriculture – Wangui Kamande | Portfolio

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The post-COVID-19 world featured difficulties with logistics and uncertainty, making it difficult for businesses to plan for the future and make a profit. The floriculture industry is particularly vulnerable because of the perishable nature of goods. Lima sought to solve this by bringing machine vision and predictive analytics to large-scale flower farmers in Kenya.

RoleProduct designer, interim product owner and R&D
ResponsibilitiesUser research, documentation, product design, interaction design, design thinking
TeamWangui (me), Developers (software and machine learning engineers)
ToolsFigma, Whimsical, Notion, Python, MongoDB
TimelineJanuary 2021 – March 2023