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Qualitative soil moisture assessment in semi-arid Africa: the role of experience and training on inter-rater reliability

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Academic year: 2017

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Table 2. Inter-rater reliability statistics for the di ff erent groups (F : farmers, S: students, E: ex- ex-perts) during test in April and in June (“ basic ” indicates only basic introduction, “ trained ” indicates more detailed training, “ all ” indicate
Figure 1. Themi river catchment at Arusha/Tanzania and the two farming villages Mungushi and Kichangani where the wetness classification scheme was tested (Background: OpenStreetMap and contributors, CC-BY-SA, insert map: Natural Earth).
Figure 3. Volumetric water content for soil samples of each wetness class determined by the gravimetric method (a) during test in April 2014 (b) during test in June 2014 (n: sample size, letters: statistically not significantly di ff erent groups).
Figure 4. Deviation of wetness class assignments (a) relative to the median of all farmers (F all ), all students (S all ) and all experts (E all ) during the test in April and (b) relative to the median of F all (April), F all (June) and E all (April), E
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