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| Filter results5 paper(s) found. |
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1. Field Digitization and Decision Support System (Dss) in Peach Cultivation to Manage the Mediterranean Fruitfly, Ceratitis CapitataThe Mediterranean fruit fly, Ceratitis capitata (Wiedermann) (Diptera: Tephritidae), is a highly invasive, polyphagous species that attacks a wide range of fruits. In Tunisia, among the host species, peaches (Prunus persica (L.) are particularly susceptible, especially late-ripening cultivars. The risk of Medfly attack is related to various factors, such as the period of ripening during the season and the physical–chemical characteristics of the fruit. Traditionally, t... M. Braham |
2. A Synopsis of Water and Nutrient Requirements of Hass Avocado for Uganda and Sub-saharan Africa PractitionersHass avocado production is increasing in Uganda and sub-Saharan Africa (SSA) to tap into the lucrative market especially in Western Europe, China, Japan, and Russia. However, there is limited information about its water and nutrient requirements in end-user-friendly formats especially in Uganda and SSA. We consolidated the scanty information about water and nutrient requirements of Hass avocado and made necessary recalculations and unit conversions to aid meaningful uptake of the information ... P.C. Odong, G. Olupot, T.L. Odong, A. Mwije, P. Musinguzi, I.N. Alou, T.A. Basamba, P. Ebanyat, E. Opolot |
3. Empower Farmers to Sustainably Agricultural Productivity in West Africa: FeSeRWAM, a Digital Advisor for FarmersMany smallholder farmers in West Africa have a common challenge which is their inability to access the right information on appropriate agricultural inputs and practices to unlock existing potential, make better decisions and get more dividends on their investments. Supported by USAID, Feed the Future "Enhancing Growth through Regional Agricultural Input Systems (EnGRAIS/IFDC) and Partnership for Agricultural Research, Education and Development (PAIRED) have developed and deployed a... J. Toviho, I.E. Brou, K. Kouassi |
4. An Ensemble-Based Deep Learning Approach for Early and Accurate Wheat Disease DetectionCrop diseases are the primarily cause for yield loss and a factor for food security issue around the globe. Crop diseases caused by pathogens pose a significant threat to global food security, the challenge become worst particularly in developing countries like Ethiopia. Rapid population growth and accurate disease identification is crucial for timely intervention and minimizing crop losses. However, traditional methods often rely on expert analysis, which can be time-consuming and resource-i... T. Aboneh, P. Rorissa |
5. Multivariate Regional Deep Learning Prediction of Soil Properties from Near-Infrared, Mid-Infrared and Their Combined SpectraArtificial neural network (ANN) models have been successfully used in infrared spectroscopy research for the prediction of soil properties. They often show better performance than conventional methods such as partial least squares regression (PLSR). In this study we develop and evaluate a multivariate extension of ANN for predicting correlated soil properties: total carbon (C), total nitrogen (N), clay, silt, and sand contents, using visible near-infrared (vis-NIR), mid-infrared (MIR) or comb... R. Nyawasha |