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1. Drivers of Post-harvest Aflatoxin Contamination: Evidence Gathered from Knowledge Disparities and Field Surveys of Maize Farmers in the Rift-valley Region of KenyaMaize-dependent populations in sub-Saharan Africa are continually exposed to aflatoxin poisoning owing to their regular consumption of this dietetic cereal. Being a staple in Kenyan households, consumption of maize-based meals is done almost daily, thereby exposing consumers to aflatoxicoses. This study assessed awareness levels, knowledge disparities and perceptions regarding aflatoxin contamination at the post-harvest phase among farmers in the Rift-valley region of Kenya. Households were r... G.W. Gachara, R. Lahlali, R. Suleiman, B.M. Kilima |
2. The Use of Precision Agriculture Tools to Monitor the Growth Performance of Pineapple in Different Soil Management SystemsPineapple production is important in Ghana as a source of food, raw material for industry and foreign exchange from export, especially to the European Union (EU) market. In Ghana, pineapple growth and yield assessment are done with field-based measurements and chemometric methods in laboratories, but, collecting primary data in this way is time-consuming, costly, and laborious. Moreover, there are few technically skilled people with specialization in rigorous laboratory methods, and inf... E. Hanyabui |
3. Productivity and Profitability of Maize (Zea Mays L.) As Affected by Planting and Fertilization Schemes on the Ferralsols of Southern TogoA sustainable improvement of crop productivity and profitability in the current context of climate change and land degradation is necessary to meet the food and cash needs of a ceaselessly growing population. In order to help achieve this aim, we carried out a 2-year experiment (2020 and 2021) at the University of Lomé Agronomic Experiment Station. The experiment was set up in a split-plot design, composed of eight (08) treatments in three (03) replicates each. Two planting schemes (SC... M. Mazinagou, M.J. Sogbedji, A. N'gbendema |
4. Precision Agriculture the Key to Increased Productivity for Smallholder FarmersThe aim of this study was to analyze the impact of precision agriculture on the farming operations of smallholder farmers in South-East Nigeria. In general, the system of farming in Nigeria lacks precision especially since it is being practised primarily by smallholder farmers and is mainly determined and analyzed using mundane, redundant, and time-consuming technology. This has resulted in uneven food production potential across the value chains. Agricultural Input waste despite its growing ... T.O. Eni |
5. Determination of Major Limiting Nutrients and Site-specific Fertilizer Recommendation Towards Optimizing Rice Production in the Irrigated Perimeter of the Zio Valley (Togo)Adoption of appropriate inorganic fertilization schemes is essential to improving fertilizer use efficiency and crop performance. This study aims to contribute to the improvement of rice yields in the irrigated perimeter of the Zio Valley in Togo through appropriate inorganic fertilization. Nutrient omission trials were set up during November 2020 to March 2021 and May to September 2021, with producers identified in the four (04) villages (Mission Tove, Ziowonou, Kovie and Assome) located in ... A. N'gbendema, M.J. Sogbedji, M. Mazinagou |
6. Integrated Packages Incorporating Reduced Tillage, Residue Retention and Cropping System Influence Green Gram Growth and YieldReduced tillage, residue retention and intercropping are factors influencing how rain fed systems of cropping are productive as well as sustainable. Green gram as well as sorghum is the main crops grown by small-scale who have insufficient resources, and the produce is used for home consumption. A field experiment was conducted to evaluate green gram crop response to reduced tillage, residue retention and intercropping with sorghum in the dry-lands environments in Kenya. The aim of the study ... B.O. Orwa |
7. Enhancing Crop Yield in Smallholder Farming Systems of Northern Ghana: The Role of 4R Nutrient Stewardship... A. Haruna |
8. Estimating Maize Evapotranspiration in Smallholder Farms Using UAV-derived Data and Surface Energy Balance Modelling Techniques... A. Nyawose |
9. Evaluating Soil Organic Matter Under a No-Till System Using Digital Sensors (EM38 and MSP3)Agriculture, especially in no-till systems, plays a crucial role in ensuring global food security. The pressure on agricultural lands due to a growing population and climate change necessitates innovative solutions. Proximal soil sensing using electromagnetic induction (EMI) and electrical conductivity (ECa) sensors has gained prominence. These technologies provide rapid, non-destructive measurements of soil properties, offering advantages over remote sensing and laboratory analyses... H. Hajjaj, K. Ibno namr, E. Abdellah , C. El khalfi |
10. High Resolution Mapping of Long-Term Soil Organic Carbon Stocks and Changes in MoroccoSoil organic carbon (SOC) as a major part of the soil organic matter (SOM) is important for soil productivity stability and climate change mitigation. Current regional SOC maps are not detailed enough and thus, do not support decision-making at farm and landscape and do not track carbon long-term changes. Using large soil dataset, multispectral satellite data, climate data and machine learning , we created a high-resolution topsoil (0-30cm) map of Morocco and estimated t... B. Gerrard, E. Ben-dor, M. Bayad |
11. Development and Validation of an Algorithm for Optical Sensor-based Nitrogen Fertilization for Durum Wheat in Central Ethiopia I. Algorithm DevelopmentMonitoring in-season nitrogen (N) management using proximal optical sensors is often considered highly cost-effective and efficient. Developing a successful sensor-based algorithm to optimize in-season N application for durum wheat could enhance productivity and nitrogen use efficiency. This study aimed to develop and validate a sensor-based algorithm for N fertilization of durum wheat in central Ethiopia. The developed algorithm is based on the prediction of total N uptake from normalized di... S. Endris, T. Mesfin, O. Atnafu, S. Tamiru |
12. Assessing The Potential Of Drone Remotely Sensed Data In Detecting The Soil Water Content, And Taro Leaf Chlorophyll Content Across Different Phenological Stages... R. Masemola |