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| Filter results4 paper(s) found. |
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1. Predicting in-Season Sorghum yield potential using Remote Sensing Approach: a case study of Kano in Sudan Savannah agro- ecological zone, NigeriaThe preliminary estimation of expected yields and the accuracy of this evaluation provide information for decision-making related to the harvest. Estimating crop yield using remote sensing techniques has proven to be successful, having the ability to provide yield estimates prior to harvest. This study was conducted to examine the applicability of Sentinel-2B for estimating sorghum yield during the 2018 rainy season in Bebeji, Dawakin-Kudu and Rano Local Government Areas Kano State, in the Sudan... A. Tukur, H.A. Ajeigbe, F.M. Akinseye, I.B. Mohammed, M.M. Badamasi |
2. Evolving Potentials for Precision Climate-smart Agriculture in Sub-saharan African CountriesProgressively, there is increasing awareness on the significance of agriculture in both adaptation and mitigation to climate change. While adaptation has been typically highlighted in the most vulnerable countries, especially in Africa where the failure to adapt have been noted to exacerbate the dangers of food insecurity, there is limited effort at emphasizing mitigation as the ultimate resolution of the debacle. Climate-smart agriculture (CSA) is critical to achieving development irrespective... M.G. Ogunnaike, O.D. Onafeso |
3. The Use of Unmanned Aerial Vehicle (UAV) Remotely Sensed Data and Biophysical Variables to Predict Maize Above-Ground Biomass (AGB) in Small-Scale Farming SystemsConsidering the current and projected increase in human population, approaches to optimize crop productivity to meet the rising demand are paramount. Timely and accurate maize Above Ground Biomass (AGB) measurements allow for development of models that can precisely predict yield prior to harvesting, useful for food production management and sustenance. The development of Unmanned Aerial Vehicles (UAVs) as a new generation of robust remote sensing platforms, mounted with high-resolution sensors... C. Dlamini, J. Odindi, O. Mutanga, T. Matongera |
4. Enhancing the Estimation of Equivalent Water Thickness in Neglected and Underutilized Taro Crops Using UAV Acquired Multispectral Thermal Image Data and Index-Based Image SegmentationDue to the impact of climate variability and change, smallholder farmers are increasingly faced with the challenge of sustaining crop production. Taro, recognized as a future smart neglected and underutilized crop due to its resilience to abiotic stresses, has emerged as valuable for diversifying crop farming systems and sustaining local livelihoods. Nonetheless, a significant research gap exists in spatially explicit information on the water status of taro, contributing to the paradox of its... S. Ndlovu, J. Odindi, M. Sibanda, O. Mutanga |