Download the Conference Proceedings
Proceedings
Authors
| Filter results11 paper(s) found. |
|---|
1. Excellence in Agronomy 2030: A new CGIAR-wide initiative to deliver agronomy solutions at scaleRequired increases in crop production and productivity in sub-Saharan Africa (SSA) will not happen without the increased use of appropriate agronomic practices. While several thousand new varieties of nearly all key crops have been produced in the past decade, recent increases in yields in specific countries have only happened when such varieties received the right agro-inputs and management. That said, agronomy is often highlighted as an area that has not delivered impact at scale in SSA, or... B. Vanlauwe, T. Amede, F. Baudron, P. Chivenge, M. Devare, K. Saito, J. Kihara, V. Nangia, P. Pypers, K. Shepherd, E. Vandamme |
2. Biochar and/or Compost for Soil Quality and Maize Yield Improvement in an Acidic Ferralsol Soil in Kenya.The rapidly increasing global population, climate change and dwindling resources have made it very difficult to meet global food demand. To address the issue of food insecurity, sustainable intensification of agriculture (SIA) has been proposed. However, the consequences of poorly managed agricultural intensification can negatively affect the ecosystem. Biochar and compost application has been widely recommended as a highly promising soil fertility replenishment option to promote sustainable agriculture.... |
3. Determining Nutrients rates for Maize, Rice, Cotton, and Tomato in Dry Savannah zone of Togo based on site specific nutrient management approachInadequate fertilizer application limits crop yields and lead to the soil fertility depletion. This study aims at formulating nutrients rates recommendations for main the crops in dry savannah zone of Togo. Site specific nutrient management approach based on spatial variations in nutrients status, crops nutrients requirement and average crop yields under field conditions was used to determine recommendations rates in N, P and K. For maize cropping, nutrients needs are 94 kgN.ha-1, 42... |
4. Development of Lodging Direction Determination System Using Image ProcessingIn this study, image processing system was developed for application on rice plants to determine lodging condition, which was contributing factor to declining harvester efficiency by using combine harvester. Therefore, We developed a system for determination of the lodging direction by algorithm based on convolutional neural network (CNN). As for deep learning framework, Pytorch1.1.0 were used to train and test the judging direction. GoogLeNet was used as a pre-trained CNN model. Lodging... E. Morimoto, Y. Arai, K. Nonami, T. Ito |
5. Potential precision agriculture practices for higher fruit and vegetable production in West Africa: A ReviewDuring the last decades, efforts have been made to increase the yield and the quality of major fruits and vegetables but still, farmers mainly those in West African countries are struggling to close the yield gap. Precision agriculture has been reported in most developed countries as a set of tools integrating information and technologies for efficient crop production. Over the decades, scholars have been skeptical about the development and implementation of precision agriculture in West Africa... V. Fassinou hotegni, L.W. Azonhoumon, E.G. Achigan-dako |
6. DIGITAL MAPPING OF EXCHANGEABLE CATIONS IN SOILS OF SOUTHWESTERN NIGERIASoil acidity and low exchangeable cation are the major soil fertility challenges resulting in low crop productivity in Southwest Nigeria. Digital soil mapping is an effective way to achieve precision agriculture. However, most of the research work on soil exchangeable cations as soil information was not geo-referenced, The study created geo-database and developed a digitized map of soil exchangeable cations Indicating the spatial distribution in soils of southwestern Nigeria. Secondary data... O.E. Awosiyan, I.K. Mary, F.A. Adesina |
7. Climate Smart Agriculture: Constraints, Challenges and Opportunities to Promote the System in EthiopiaAgriculture is vital to the economy of Ethiopia and its development has significant implications for food security and poverty reduction. An increase in agricultural production over the past decades has been due to land area expansion, with a modest change in production techniques and improvement in yields. Yet, the substantial reliance of the sector on rain-fed systems has made it particularly vulnerable to variability in rainfall and temperature and climate change. Climate change may decrease... G. Agegnehu, T. Amede |
8. The effectiveness of Neem materials and biochar as nitrification inhibitors in reducing nitrate leaching in a compost-amended Ferric LuvisolNitrate produced after mineralization from compost may be prone to leaching especially in Tropical sandy soils, because of increased rate of nitrification and the porous nature of such soils. This may result in low N use efficiency and adverse environmental effects. Inorganic nitrification inhibitors are costly and mostly unavailable in Ghana. The use of simple but effective local materials as nitrification inhibitors is therefore a priority area of research. Two of such materials may be neem... H. Abeka |
9. Modelling Fertigation and Micro-Climate Parameters for Greenhouse Tomato (Solanum Lycopersicum L.)Amidst the hiking price of fertilizer and projected water scarcity across the world, it is imperative to explore the interaction between fertilizer, irrigation and genotype notwithstanding the micro-climate parameters so as to maximize yield while protecting the environment. The Decision Support System for Agrotechnology Transfer (DSSAT) is a model which employs all these input factors to help predict yield and thereby make an informed decision. The study sort to calibrate and validate the... Y.K. Agbemabiese, P. Abubakari, P.K. Dzomeku, I. Shaibu |
10. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear RegressionTraditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index (NDVI)... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud |
11. Evaluating the Impact of Seasonal Weather Variability on Soil Moisture Conservation Under Mulching Systems for Date Palm Production in OasesSoil moisture is an essential parameter that governs crop production and soil health. Therefore, the critical role of soil moisture cannot be overstated in sustaining agriculture, especially in arid and semi-arid regions. Date palm production not only plays a vital role in economic and nutritional purposes in many arid areas but also plays important roles in creating favorable microclimates for agriculture and protecting lands from desertification. This study proposes an innovative approach... U. Safi, O. Abdallah , A. Sabri |