2021
DOI: 10.1016/j.rsase.2021.100566
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Use of earth observation satellite data to guide the implementation of integrated pest and pollinator management (IPPM) technologies in an avocado production system

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Cited by 17 publications
(14 citation statements)
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“…The two are the leading avocado-producing regions in their respective countries, with Murang’a County accounting for 46.9% of the total avocado production in Kenya [ 3 ], while Kilimanjaro Region, specifically Siha District accounts for about 54% of the avocado production in Tanzania [ 6 , 37 ]. Using a multi-stage sampling procedure, a random sample of 410 [ 38 ] and 420 avocado-growing households were selected for the baseline survey in Kenya and Tanzania respectively. To assess the potential adoption of IPPM, their preferences for either the innovation in isolation (i.e.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The two are the leading avocado-producing regions in their respective countries, with Murang’a County accounting for 46.9% of the total avocado production in Kenya [ 3 ], while Kilimanjaro Region, specifically Siha District accounts for about 54% of the avocado production in Tanzania [ 6 , 37 ]. Using a multi-stage sampling procedure, a random sample of 410 [ 38 ] and 420 avocado-growing households were selected for the baseline survey in Kenya and Tanzania respectively. To assess the potential adoption of IPPM, their preferences for either the innovation in isolation (i.e.…”
Section: Methodsmentioning
confidence: 99%
“…IPM or pollinator supplementation (managed Western honey bee ( Apis mellifera ) hives) or integration of both (i.e. IPPM), were first determined [ 38 ]. Upon selecting the most preferred option, the respondents’ willingness to buy the selected option based on the current cost of pesticides for the management of the target pests and disease was elicited.…”
Section: Methodsmentioning
confidence: 99%
“…This ESA-derived LULC dataset was derived from a one-year of Sentinel-2A observations from December 2015 to December 2016 classified using the RF algorithm (ESA, 2020). Other studies on bees or other insect species have demonstrated the interdependence of land cover patterns and insect species, regarding their relative potential spatial distribution (Adan et al, 2021;Nyabako et al, 2020;Ropars et al, 2020). However, these regionally developed datasets such as the Sentinel-2 prototype land cover data for Africa used in this study often have accuracy limitations.…”
Section: Land Use and Land Cover (Lulc)mentioning
confidence: 99%
“…Normalized Difference Vegetation Index (NDVI) images available from NASA’s Land [ 58 , 59 ], Atmosphere Near real-time Capability for EOS (LANCE) and data from Group on Earth Observation Global Agricultural Monitoring (GEOGLAM) [ 60 ] provide important data on green vegetation density, mapping the regions where plants/crops are thriving and where they are under stress (i.e., due to lack of water). Aside from soil moisture, satellite imagery has been used in determining other soil parameters, such as carbon content, salinity, pH, temperature [ 56 , 61 , 62 ], detection of pests, diseases, and pollinators [ 63 , 64 ], prediction of crop yield and natural disasters, and phenotyping of crops [ 65 , 66 ]. Although it may seem appealing to use these methods due to the scale of the measurements, they have course spatial and temporal resolution and are restricted to shallow penetration.…”
Section: Information System For Soil Nutrients Assessmentmentioning
confidence: 99%