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1. Maximisation de l’efficience d’utilisation de l’azote par la tomate(Solanum lycopersicum L.) sur les ferrasols au Sud du TogoMaximiser l'efficience d'utilisation de l'Azote (N) en culture de tomate s'impose pour améliorer le rendement et la rentabilité de la culture. Il a été mené sur trois ans, six cultures de tomate réparties sur deux périodes (septembre à janvier 2017-2019 et de février à mai 2018-2020) sur un sol ferralitique à la Station d'Expérimentations Agronomiques de Lomé suivant un dispositif ex... M. Lare, M.J. Sogbedji |
2. Mapping of soil nutrients variability in some plantation crops in Abeokuta, Ogun State Nigeria.The activities of man on the soil and the undulating topography have great effects on soil nutrients variability. For near accurate application of nutrients in precision agriculture in order to reduce wastage of resources, this research was conducted to acquaint the research farm of the institute with the nutrient variability at specific locations. A detailed soil survey was carried out at the Teaching and Research Farms of the Federal University of Agriculture, Abeokuta, Ogun State Nigeria. ... E.C. Basil, R.T. Basil |
3. Evaluation of on –farm oil palm yield parameters in Niger Delta region of NigeriaEvaluation of on –farm oil palm yield parameters in Niger Delta region of Nigeria *Ekhator F1., Osayande P1., Aduramigba-Modupe V.O2., Solomon O1., and Ikuenobe C.E1. 1Nigerian Institute for Oil Palm Research (NIFOR) P.M.B 1030, Benin City, Edo State 2Institute of Agricultural Research and Training, Obafemi Awolowo University, Ibadan, O... E.C. Ikuenobe, K.D. Madukwe, F. Ekhator, V.M. Aduramigba, P.E. Osayande, S. Solomon, N.M. Okoye |
4. Development of Canopy Mapping System of Asian pears (Pyrus pyrifolia Naka) Using Terrestrial Laser ScanningIn this paper, the canopy mapping system (CMS) of Asian pears for estimating yield during Bud thinning and Pruning operations using point cloud data was proposed. Bud thinning and Pruning in Asian pear (Pyrus pyrifolia Naka) is necessary to ensure quality and yield but is time-consuming and heavily depends on work knowledge. This study described a method of estimating the number of fruits through the length of a branch based on remote sensing. The CMS would be useful to support more efficient... E. Morimoto, J. Lee, K. Nonami, I. Matumura, M. Ikebe, S. Sato |
5. USE OF DRONE IN PRECISION AGRICULTURE IN SENEGALIn Senegal more precisely in the valley of the Senegal River, we have introduced drones for use in precision agriculture. These Drones are used in phytosanitary treatment and fertilizer spreading. Thus we also test in the monitoring of plots, in particular to detect deficiencies in fertilizer, stresses and diseases. We have started with some producers in the treatment of rice plots with post-emergence herbicide and the results have been satisfactory, even going as far as a reduction in the do... O. Aidara |
6. La fertilité indigène du sol : un élément catalyseur de l’agriculture de précisionDans le contexte actuel de la dégradation des ressources naturelles et des problèmes de disponibilité et d'accessibilité des intrants agricoles, l'agriculture de précision dont le point d'entrée est la connaissance de la fertilité endogène du sol s'impose. Des essais soustractifs ont été conduits pendant deux ans (2018-2019) à la Station d'Expérimentations Agronomiques de l'Univers... K. William, J. Sogbedji, M. Lare |
7. EFFECT OF INTERCROPPING SORGHUM WITH COWPEA AND NITROGEN APPLICATION ON GROWTH AND YIELD OF SORGHUM (Sorghum bicolor (L.) MOENCH)Despite the development of improved varieties, the yield of sorghum has remained significantly low in dryland environments due to low soil fertility and inappropriate cropping practices. However, implementation of precision agriculture (PA) within the context of companion cropping with legumes and fine-tuning the supply of fertilizer nitrogen (N) has the potential to increase sorghum yield in these environments. Nonetheless, the effect sorghum-cowpea compatibility, fertilizer N use and their ... P.E. Moi , O.M. Kitonyo, G.N. Chemining’wa, J.M. Kinama |
8. Effect of Plant Population and Nitrogen Rate on Growth and Yield of Two Pre-release rice varieties in KenyaThe application of precision agriculture (PA) through the optimization of plant population and management of fertilizer nitrogen (N) can increase rice yield. Current rice (Oryza sativa) plant population and fertilizer nitrogen (N) management guidelines in Kenya were developed from research conducted about three decades. These management guidelines might still be robust and could be applied to recently released as well as close-to- release varieties. However, the yield potential o... W. Kioko, W. Kioko, W. Kioko, W. Kioko, O. Kitonyo, G. Chemiming'wa, S. Gebeyehu, R. Murori |
9. Performance agronomique et économique de différentes stratégies de gestion de la fertilité du sol sous culture de soja (Glycine max L. Merril) dans la zone littorale du Togo.Ce travail a pour objectif de valoriser les émondes de deux légumineuses arbustives et quelques fertilisants organiques pour améliorer la production du soja. Afin de parvenir à cet objectif, les paramètres comme la masse de mille graines, les rendements en gousses, en graines, en fanes du soja et autres ont été déterminés. L’étude a eu lieu à la Station d’Expérimentation Agronomique de Lomé ... K.M. Amouzouvi, K.E. Ozou, L. Kolani, K.A. Amouzouvi, J.M. Sogbedji |
10. The Yield Gap In Africa: Closing the gap through soil attributes management using remote sensing & Precision Agriculture Approaches at the field scaleIn Africa, which has the most population growth in the world, the agricultural system is characterized by the predominance of smallhoder farmers. In order to cope with intense population growth and increased production costs through yield gap closing. Yield gap is defined as the difference between potential yield and actual yield and is an inevitable method to improve yields while decreasing the environmental impacts of agricultural systems. The variability of yields is strongly controlled by... K. Khechba, A. Laamrani, A. Chehbouni, D. Dhiba, K. Misbah |
11. Using Remote Sensing to Develop Site-Specific Nitrogen Management in Citrus OrchardsIntegrating multivariate spatial analysis with the delineation of site-specific management zones (MZ) provides a basis for practical and cost-effective management of water and nitrogen (N) fertilization in precision agricultural (PA). In many crops, measurements of leaf N content are used to assess the plant’s nutritional status and to develop fertilizer application plans for optimal yields. Accordingly, the aim of this study was to develop leaf N content prediction for citrus based on ... E. Rave, N. Ohana, R. linker, D. Termin, A. Beryozkin, T. Paz-kagan, S. Baram |
12. Fertilizer Micro-dosing on Growth and Vegetative Yield of Fluted Pumpkin (Telfairia occidentalis Hook. f)The study evaluated growth and vegetative response of fluted pumpkin (Telfairia occidentalis Hook. f) to levels and time of micro-dosing Urea fertilizer. The experiment was conducted in two growing seasons of late and early cropping seasons of 2017 and 2018 respectively at the Teaching and Research Farm of Obafemi Awolowo University. The experiment was a factorial laid out in a Randomized Complete Block Design (RCBD) with four replications involving seasons, levels of fertilizer (0, ... P.A. Amao, B. Amujoyegbe, D. Oyedele |
13. Mapping of micronutrients status in soils under multivarietal Citrus sinensis production for precision agricultureCitrus production in Nigeria is below the world average; and this is caused among other things by poor soil management. The situation is further acerbated by blanket fertilizer application and low application of precision in soil fertility management. A study was carried out on a 34 year old multi varietal citrus orchard under sweet orange (Citrus sinensis) to determine the current soil fertility status and variability of micronutrients. Soil samples were collected at a sampling dept... B.N. Okafor, B.N. Okafor, V. Aduaramigba, O. Denton |
14. Decision Support System in AgricultureDescriptive integrated models for water resource management are not limited to hydrological variables, but integrate environmental socio-economic subsystems and study the interactions and feedbacks between the various interacting subsystems. Agriculture is a major water resource management sector that takes economic factors into account. In dynamic system models, we try to look for the optimal economic policies to achieve sustainability by introdu... |
15. Caractérisation architecturale pour la prédiction du potentiel de production des tètes de clones de Coffea Caenophora pierre ex a. froehnerLe café demeure jusqu’à ce jour une culture très importante dans le monde et particulièrement en Côte d’Ivoire. Cette culture est avec les changements climatiques confrontée à de nombreux facteurs qui limitent sa production. Parmi ces facteurs les plus problématiques sont : la baisse de la fertilité des sols, les insectes et les performances agronomiques de l’espèce et/ou de la variété cu... H. Kouassi |
16. Keynote 1 - Precision Agriculture for Smallholders : Imperatives for Africa’s AgricultureThe African continent is at the dawn of the Fourth Industrial Revolution (4IR) with significant challenges around inclusivity. The concept of the 4-IR will imply the deployment of technologies at unprecedented scale at a time when sustainable production underscores the need to produce twice as much with half the resources. For Africa, Precision Agriculture (PA) as a modern technology, represents a sustainable approach that will help farmers to manage their resources and increase product... Y. Akinbamijo |
17. Keynote 2 - Satellite Earth Observations and Machine Learning for Agricultural Monitoring in Sub-Saharan AfricaFood security is one of the most pressing issues faced by many African countries today. 2019 brought further shocks and setbacks to crop production across Africa. Farmers in East Africa, for example, faced more devastating floods, the most severe (and still ongoing) desert locust infestation in 70 years, and of course the COVID-19 pandemic, which has affected every sector and every food sys... C. Nakalembe |
18. Keynote 3 - Setting the Record Straight on Precision Agriculture AdoptionAdoption of precision agriculture (PA) around the world has been uneven. Some PA technologies have been the most rapidly adopted agricultural technologies in history and others have lagged. Among the disappointments is variable rate fertilizer, which was among the first PA technologies, but has become standard practice only for some farming niches. PA is a tool box – Farmers take the tools that they need and leave the rest. For example, in countries with mechaniz... J. Lowenberg-deboer |
19. Precision fertilizer management for soil fertility improvement in Sub-Sahara AfricaAttainment of food security remains one of the biggest challenges facing sub Saharan Africa. The continent continues to experience low production as a result of the low and declining soil fertility and land degradation, which have been compounded by unfavorable climatic conditions. Since the 1960s, there have been effort to transform the agricultural sector through promotion of diverse approaches of soil nutrient management. Research has demonstrated the potential and importance of fertilizer... A. Bationo |
20. Imagining Precision Farming in AfricaAfrica needs its own and unique Green Revolution now, but it can also take advantage of many lessons learned all over the world. Precision farming is much more than the application of advanced, expensive technologies for managing soils and crops on a commercial scale. In the African context, it is all about better agronomy at any scale, including small and medium-size farms. Many ingredients for that exist already, whereas others still need to find their way into scalable business soluti... A. Dobermann |
21. Decision Aids: Mobile Apps and SensorsProducers are challenged daily with decisions. With the advancement in technologies the access to decision aid tools is becoming more wide spread. This decussion covers a few of the easily to use and apply technologies available. ... B. Arnall |
22. Mapping African soils at 30m resolution - iSDAsoil - Western Time Zones“iSDAsoil” combines remote sensing data and other geospatial information with carefully stratified point samples subjected to spectral analysis and traditional wet chemistry reference analysis. State of the art machine learning techniques were used to create digital maps of 17 agronomically important soil properties at 3 depths, including estimates of uncertainty. iSDAsoil is designed to encourage sharing and we hope that the owners of other soil and agronomic data, in i... J. Crouch, K. Shephard, M. Miller, J. Collinson, P. Singh, P. Pypers, R. Van den bosch, C. Van beek, M. Chernet, S. Aston |
23. Keynote 6 - Farmer-led design and knowledge sharing: Empowering smallholders to maximize impactProducers Direct is an international non-profit led by smallholder farmers for smallholder farmers. With over a decade of experience in farmer-led design and experimentation, Producers Direct has piloted and scaled a number of in-person and digital solutions that have improved the livelihoods for over 1 million small-scale farmers across East Africa and Latin America to-date. International recognition for our work has included UK Google Impact Challenge winner; World Bank Collaborative D... C. Rhodes |
24. On-farm experimentation. A major role for precision agriculture in African agricultureIs precision agriculture relevant to African Ag? Most people envision fancy technology when they consider precision agriculture (PA). Indeed, over the past 30 years or more PA has introduced a range of exciting technologies to agriculture. But the real change is not the technology itself, but the new ways technology enables farmers to manage complex and uncertain systems. This message dates back to the early days of PA but has been superseded by technological prowess and needs to be... S. Cook |
25. Keynote 8 - Precision Agriculture in Sub- Africa: The Path ForwardSmallholder farmers contribute significantly to food security and rural livelihoods in Africa, but their yields are often low due to declining soil fertility, high input costs, and decreased availability of land for cultivation among other factors. These challenges are exacerbated by climate change. Furthermore, soil physicochemical and biological properties are heterogeneous among farms within same or different agro-ecological zones, with obvious consequences for yields. This variabili... K. Frimpong |
26. Mapping African soils at 30m resolution - iSDAsoil - Eastern Time Zones“iSDAsoil” combines remote sensing data and other geospatial information with carefully stratified point samples subjected to spectral analysis and traditional wet chemistry reference analysis. State of the art machine learning techniques were used to create digital maps of 17 agronomically important soil properties at 3 depths, including estimates of uncertainty. iSDAsoil is designed to encourage sharing and we hope that the owners of other soil and agronomic data, in i... C. Van beek, M. Chernet, S. Aston, M. Miller, J. Collinson, K. Shephard, J. Crouch, T. Terhoeven-urselmans |