A5022287264- Remote Sensing in Agriculture
- Species Distribution and Climate Change
- Ecology and Vegetation Dynamics Studies
- Plant Parasitism and Resistance
- Land Use and Ecosystem Services
- Wildlife Ecology and Conservation
- Plant and animal studies
- Rangeland Management and Livestock Ecology
- Climate change impacts on agriculture
- Insect-Plant Interactions and Control
- Insect and Arachnid Ecology and Behavior
- Insect Pest Control Strategies
- Insect Resistance and Genetics
- Agronomic Practices and Intercropping Systems
- Smart Agriculture and AI
- Greenhouse Technology and Climate Control
- Crop Yield and Soil Fertility
- Remote Sensing and LiDAR Applications
- Coffee research and impacts
- Flood Risk Assessment and Management
- Entomopathogenic Microorganisms in Pest Control
- Seed and Plant Biochemistry
- Water Governance and Infrastructure
- Malaria Research and Control
- Fecal contamination and water quality
Midlands State University
2016-2025
International Centre of Insect Physiology and Ecology
2019-2024
University of the Witwatersrand
2022-2024
University of Kigali
2024
Rwanda Biomedical Center
2023
University of the Western Cape
2019-2021
Abstract Current climate change impact studies on coffee have not considered typicities that depend local microclimatic, topographic and soil characteristics. Thus, this study aims to provide a quantitative risk assessment of the suitability five premium specialty coffees in Ethiopia. We implement an ensemble model three machine learning algorithms predict current future (2030s, 2050s, 2070s, 2090s) for each under four Shared Socio-economic Pathways (SSPs). Results show importance variables...
Integrated Pest Management (IPM) technologies offer effective solutions to reduce the negative effects of crop pests while considering human and environmental health. However, disseminating these faces several barriers, with one most significant being lack farmer awareness regarding their availability, deployment, uptake. Digital tools are perceived as a new form leverage for overcoming barriers. This study analyzes current IPM digital potential boost farmers' deployment adoption...
Abstract Desert locust ( Schistocerca gregaria ) infestations cause significant damage to crops and pastureland, impeding food security livelihoods globally. In recent years, some East African countries have suffered severe desert outbreaks, causing harm agriculture local communities. To comprehensively understand mitigate the socio‐economic impacts of this pest, an integrated assessment approach is crucial. This study proposes model that combines ecological, economic, social dimensions...
Abstract. Weeds are one of the major restrictions to sustaining crop productivity. often outcompete crops for nutrients, soil moisture, solar radiation, space and provide platforms breeding pests diseases. The ever-growing global food insecurity triggers need spatially explicit innovative geospatial technologies that can deliver timely detection weeds within agro-ecological systems. This will help pinpoint maize fields be prioritized weed control. Satellite remote sensing offers incomparable...
Monitoring of destructive invasive weeds such as those from the genus Striga requires accurate, near real-time predictions and integrated assessment techniques to enable better surveillance consistent initiatives. Thus, in this study, we predicted potential ecological niche (Striga asiatica) weed Zimbabwe, identify understand its propagation map potentially vulnerable cropping areas. Vegetation phenology remote sensing, bioclimatic other environmental variables (i.e. system, edaphic, land...
Push–pull technology (PPT) is one of the most viable low-cost agroecological practices that reduces effects insect pest infestations (e.g., stemborer) and parasitic weeds Striga) in croplands. PPT was evaluated low-fertility soils two farming practices, minimum-tilled conservation agriculture practice (CA), conventionally tilled (CP), contrasting zones at Chitedze, Mbawa, Chitala stations Malawi. Stemborer Striga were also investigated suitability levels Desmodium species. Farmers’...
After five years of its first report on the African continent, Fall armyworm (FAW), Spodoptera frugiperda (J.E. Smith) is considered a major threat to maize, sorghum, and millet production in sub-Saharan Africa. Despite rigorous work already conducted reduce FAW prevalence, dynamics invasion mechanisms Africa are still poorly understood. This study applied interdisciplinary tools, analytics, algorithms dataset with spatial lens provide insights project intensity infestation across The data...
The fall armyworm (FAW), Spodoptera frugiperda J.E. Smith, has caused massive maize losses since its attack on the African continent in 2016, particularly east Africa. In this study, we predicted spatial distribution (established habitat) of FAW five countries viz., Kenya, Tanzania, Rwanda, Uganda, and Ethiopia. We used occurrence observations for three years i.e., 2018, 2019, 2020, maximum entropy (MaxEnt) model, bioclimatic, land surface temperature (LST), solar radiation, wind speed,...
The invasion by Striga in most cereal crop fields Africa has posed a significant threat to food security and caused substantial socioeconomic losses. Hyperspectral remote sensing is an effective means discriminate plant species, providing possibilities track such weed invasions improve precision agriculture. However, essential baseline information using remotely sensed data missing, specifically for the Africa. In this study, we investigated spectral uniqueness of compared other co-occurring...
The geographic spread and proliferation of Invasive Alien Plants (IAPs) into new ecosystems requires accurate, constant, frequent monitoring particularly under the changing climate to ensure integrity resilience affected as well vulnerable ecosystems. This study thus aimed understand distribution shifts IAPs factors influencing such at catchment scale minimize their risks impacts through effective management. Three machine learning Species Distribution Modeling (SDM) techniques, namely,...
The quantity of land covered by various crops in a specific time span, referred to as cropping pattern, dictates the level agricultural production. However, retrieval this information at landscape scale can be challenging, especially when high spatial resolution imagery is not available. This study hypothesized that utilizing unique advantages multi-date and medium freely available Sentinel-2 (S2) reflectance bands (S2 bands), their vegetation indices (VIs) phenology (VP) derivatives,...
Desert locust (Schistocerca gregaria) plagues threaten agricultural production, food security and the environment across Africa, Middle East, Southwest Asia. Control methods targeting adult desert locusts present significant challenges financial costs. Recognizing this, we developed a ground-breaking fuzzy set Mamdani type inference model that provides an innovative solution for early warning alerts. The aids in predicting juvenile stages of development, thereby preventing wide-scale...
Fall armyworm (FAW), Spodoptera frugiperda (J.E. Smith) threatens maize, sorghum, and millet production in Africa. Despite rigorous work done to reduce FAW prevalence, the dynamics invasion mechanisms are still poorly understood. This study applied interdisciplinary tools, analytics, algorithms on a dataset provide insights projections intensity of infestation across The data collected between January 2018 December 2020 were matched with monthly average climatic environmental variables....
Indigenous cattle breeds play a crucial role in most agricultural systems, providing sustainable livelihoods, cultural value, and genetic diversity, well-suited to semi-arid environments. The study aimed assess the population structure risk status of three indigenous beef breeds, Tuli, Mashona, Nkone, focusing on effective size (Ne), number females (L), additional factors. Pedigree records for 37,081 12,935 9,489 Nkone were analyzed using online POPREP software. completeness over six...
In the recent past, Horn of Africa witnessed an upsurge in desert locust (Schistocerca gregaria) invasion. This has raised major concerns over massive food insecurity, socioeconomic impacts, and livelihood losses caused by these recurring invasions. study determined potential vegetation damage due to locusts (DLs) predicted suitable habitat at high risk invasion DLs using current future climate change scenarios Kenya. The normalized difference index (NDVI) for period 2018–2020 was computed...
Abstract Gonimbrasia belina , known as the mopane worm, is a large edible caterpillar in tropical and subtropical regions. However, little about bioecology of this species influenced by its host trees. This study evaluated importance different potential trees understanding worms’ behaviour spatial distribution. To assess their relative importance, compared models incorporating various worm predictor variables. Using distribution modelling (SDM) package R, an ensemble random forest (RF),...
A remote sensing approach was used to assess sedimentation in Tuli-Makwe Dam the semi-arid Mzingwane Catchment Matebeleland South province of Zimbabwe. The loss reservoir gross capacity due sediment deposition for a period 47 years since construction dam 1966 2013 determined be 3.371 Mm3 which translate 40.84 % loss. revised is estimated at 4.883 Mm3. annual rate calculated 0.87 per annum translates 0.0717 annum. specific yield over catchment 110.63 tonnes / km2 year. result analysis typical...
Examining the suitability of landscape patches for endangered species enhances critical insights and indicators into processes population structure, community dynamics, functioning in ecosystems particularly protected areas (PAs). While PAs are cornerstone biodiversity conservation, there is debate on their efficacy to retain conservation superiority over unprotected under climate change. In present study, we examined spatial temporal effectiveness at maintaining suitable habitat...
The assessment of the vulnerability to drought hazards in smallholder farming systems dependent on rain-fed agriculture has recently gained global popularity, given need identify and prioritize climate hotspots for adaptation. Over past decade, numerous studies have focused assessments with respect other meteorological hazards. Nonetheless, less research applying common measurement frameworks compare different communities sources such vulnerability. Yet, crucial question remains: who is more...