A5065826984- Mosquito-borne diseases and control
- Trypanosoma species research and implications
- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Land Use and Ecosystem Services
- Insect Resistance and Genetics
- Evolution and Genetic Dynamics
- Viral Infections and Vectors
- Insect symbiosis and bacterial influences
- Crop Yield and Soil Fertility
- bioluminescence and chemiluminescence research
- Geological formations and processes
- Ecology and Vegetation Dynamics Studies
- Plant and animal studies
- Satellite Image Processing and Photogrammetry
- Horticultural and Viticultural Research
- Climate change impacts on agriculture
- Wheat and Barley Genetics and Pathology
- Mycotoxins in Agriculture and Food
- Insect and Arachnid Ecology and Behavior
- Spectroscopy and Chemometric Analyses
- Remote Sensing and LiDAR Applications
- Hydrology and Watershed Management Studies
- Virology and Viral Diseases
- Flood Risk Assessment and Management
International Institute of Tropical Agriculture
2025
University of Twente
2020-2024
International Centre of Insect Physiology and Ecology
2020-2023
International Institute of Tropical Agriculture
2023
The short revisit times afforded by recently-deployed optical satellite sensors that acquire 3–30 m resolution imagery provide new opportunities to study seasonal vegetation dynamics. Previous studies demonstrated a successful retrieval of phenology with Sentinel-2 for relatively stable annual growing seasons. In semi-arid East Africa however, responds rapidly concentration rainfall over periods and consequently is subject strong interannual variability. Obtaining sufficient density...
Abstract Mycotoxin contamination in staple cereals like maize poses significant health risks to humans and livestock worldwide. The fungus Aspergillus flavus , the primary aflatoxin producer, is influenced by climate, soil type, nutrients, crop management practices. This study mapped risk its drivers using ensemble (gradient boosting, adaptive random forest) non-ensemble (support vector machine, neural networks, naïve bayes, K-nearest neighbours) machine learning methods. We analysed 907...
Controlling tsetse flies is critical for effective management of African trypanosomiasis in Sub-Saharan Africa. To enhance timely and targeted deployment control strategies a better understanding their temporal dynamics paramount. A few empirical studies have explained predicted numbers across space time, but the resulting models may not easily scale to other areas. We used catches from 160 traps monitored between 2017 2019 around Shimba Hills National Reserve Kenya, known hotspot. Traps...
Abstract Background African trypanosomiasis, which is mainly transmitted by tsetse flies ( Glossina spp.), a threat to public health and significant hindrance animal production. Tools that can reduce densities interrupt disease transmission exist, but their large-scale deployment limited high implementation costs. This in part the absence of knowledge breeding sites dispersal data, tools predict these ground-truthing. Methods In Kenya, collections were carried out 261 randomized points...
Vector-borne diseases, like those transmitted by tsetse flies, pose a significant global public health threat. Reducing vector populations is promising strategy for disease control, especially in the case of tsetse-transmitted African trypanosomiasis. However, cost-effective implementation large-scale surveillance and control measures face challenges due to lack spatially explicit reliable maps identifying hotspots. In this study, we assessed accuracy predicting Glossina pallidipes relative...
Maize is a staple food, but productivity has stagnated due to limited access advanced farming methods and knowledge. To promote sustainable agriculture, understanding the factors affecting maize yield at farm level crucial. This study used panel data on agronomic practices in Northern Ghana Malawi from 2014 2020. Satellite-based environmental variables were extracted household locations, Random Forest modeling was identify influencing variability. The models performance sub-par with low R2...
Accurate and reliable information on the distribution of tsetse habitats is crucial for effective management African Trypanosomiasis in sub-Saharan Africa. However, conducting large-scale surveillance flies to develop maps impractical due vast areas infested limited resources available. To address this challenge, we evaluated applicability habitat models developed intensively sampled Shimba Hills National Reserve Kenya both wet dry season, two other regions (Ruma Park Nguruman Conservancy)...
The characterization of intra- and interannual variations in optical satellite observations has proven to be effective differentiate between land use classes. However, there is relatively little knowledge the accuracy usefulness vario us satellite-based phenology variables metrics. This letter provides quick insights into processing vegetation seasonality data, applied European Space Agency (ESA) Sentinel-2 observations. following time-series data methods were compared for their potential...
Vector-borne diseases, like those transmitted by tsetse flies, pose a significant global public health threat. Reducing vector populations is promising strategy for disease control, especially in the case of tsetse-transmitted African trypanosomiasis. However, cost-effective implementation area-wide control measures faces challenges due to lack spatially explicit and reliable maps identifying hotspots. In this study, we assessed accuracy predicting fly abundance across Kenya linking...