Table of Contents
Drones, Volume 2, Issue 3 (September 2018)
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Cover Story (view full-size image) The lack of reliable data in low-income countries holds back development in agriculture. [...] Read more. The lack of reliable data in low-income countries holds back development in agriculture. Traditional remote sensing holds promise for filling in data gaps, but its application to farming systems in sub-Saharan Africa (SSA) is limited because these systems are characterized by small field size and intercropping of different crops with similar phenologies, and because high cloud frequency during the growing season can limit the availability of satellite images. Unmanned Aerial Vehicles provide a potential alternative to traditional remote sensing due to their ability to operate below cloud cover and deliver timely high-resolution imagery at a low cost. In combination with object-oriented image classification methods, they provide high-precision information on crop type, number of plants, vegetation fraction and thus yield assessment. View this paper.