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Georeferenced crop-type dataset (Helmets_Kenya_v1.csv) with associated roadside imagery (KENYA_v2.zip) from 16 counties in Kenya in 2021 and 2022. The dataset consists of a total of 4,925 crop type points which were created via Helmet-Mounted Cameras and Deep Learning. AcknowledgementsThis work was funded by Lacuna Fund Project NO. 2020-01-202 -“Helmets Labeling Crops“. Additional Support for data collection in Kneya from the NASA Harvest program No. 80NSSC23M0032, NASA SERVIR Grant No. 80NSSC20K0264, and SwissRe Foundation Grant EO-NAM. Partner organizations in implementation testing included NAACRI (Uganda), RCMRD (Kenya, Zambia), Makerere (Uganda), Milsat (Nigeria), NARSDA (Nigeria).
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |