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Impact of Foliar Application of Zinc and Magnesium Aminochelate on Bean Physiology and Productivity in Ghana
Foliar application of fertilizers can guarantee nutrient availability to beans, leading to higher yield and seed quality. Different approaches including glycine have been used to improve mineral nutrient status of plants toward safer products and improved human health. -
Design and Navigation Technique of an Underground Mine Inspection Robot
The state of most underground mine tunnels could be very capricious and precarious with possible sudden dangers including that of near collapse walls, exposition to toxic substances including dangerous gases. These dangers coupled with size restrictions of portions of such mines inspection by robots the preferred option as opposed to that done by humans. -
Congestion-Aware Routing (Car): Vehicular Traffic Routing Based on Real-Time Road Occupancy Estimates
This work addresses the problem of routing vehicular traffic on road networks. Fair routing is effected using real-time data acquired from a sensor network superimposed on road networks. -
The gendered nature of productive and reproductive roles in the Agricultural sector.
The aim of the study was to examine the roles of both male and female farmers in the agricultural sector and how the interact to perform these role. The fieldwork researched two communities in two districts of northern region, Ghana. Data was also collected from agricultural development agencies: Savanna Agricultural Research Institute (SARI), the Ministry of Food and Agriculture (MOFA) and World Vision Ghana (WVG). -
Organic Manure Improves Soybean Response to Rhizobia inoculant and P-fertilizer in northern Ghana
Inherently low concentrations of soil nutrients and erratic rainfall pattern in sub-Sahara Africa limit soybean response to rhizobia inoculant and P-fertilizer. -
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Application of Radial Basis Function Network with a Gaussian Function of Artificial Neural Networks in Osmo-dehydration of Plant Materials
The study presents a critical evaluation of Artificial Neural Networks (ANNs) in food processing by successfully predicting the mass transfer in three plant materials. The used of ANNs in osmo-dehydration was evaluated using two varieties of apple (Malus domestica Borkh) of Golden Delicious and Cox, banana cultivar Cavendish and potato (Solanum tuberosum L.) variety Estima. -
Multilinear Regression Approach in Predicting Osmo-Dehydration Processes of Apple, Banana and Potato
The potential for improving food quality through osmo-dehydration is tremendous but limited by quantitative data and methods. A Multiple Linear Regression (MLR) approach was developed for water loss and solid gain during osmo-dehydration of apple, banana and potato taking into account the effect of temperature, concentration, time of immersion, sample size, sample type and agitation. -
Microbial deterioration of white variety sweet potato (Ipomoea batatas) under different storage structures
Post-harvest protection of white variety sweet potato (Ipomoea batatas) has been dealt with rarely in the past, although it is comparatively easy to grow and has high consumer acceptability in Ghana. Microbial deterioration of sweet potato roots stored in three different storage structures was studied.