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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. Mapping African soils at 30m resolution - iSDAsoil: leveraging spatial agronomy in farm-level advisory for smallholdersField level soil data has been the foundation of agronomic advisory, but traditional methods involving on-farm sampling are too expensive for a large proportion of African smallholders. Building on the work of the African Soil Information Service (AfSIS), Innovative Solutions for Decision Agriculture (iSDA) and partners have created an agronomic soil database which covers the entire African continent at a spatial resolution of 30 m. “iSDAsoil” combines remote sensing data and other... J. Crouch |
3. Delineation of site-specific management zones based on soil apparent electrical conductivity (ECa) measurement combining traditional soil sampling methodSite-specific management requires the identification of treatment areas based on homogeneous characteristics. The designation of subfield regions is challenging because of complex correlations appearing in spatial variability of soil properties and nutrient concentrations. The research was conducted on two neighbouring fields (48 ha and 15 ha) in Fejér county, Hungary. Soil ECa mapping was carried out on 22 October, 2019 and soil samples were taken on 15 November, 2019.... I.M. Kulmany, V. Vona, M. Vona, L. Szekeres, L. Bede, G. Milics, B. Kovacs |
4. SIMULATION OF CASSAVA YIELD UNDER DIFFERENT CLIMATIC SCENARIOS IN KILEMBWE, SOUTH-KIVU PROVINCE EASTERN DR CONGOClimate variability and change are projected to significantly impact agricultural production across Africa. This study assessed the effects of climate variability and change on cassava yield in Kilembwe, South-Kivu province Eastern DR Congo. The assessment relies on the DSSAT crop model simulation of cassava under current and future climate. The period 1980–2010 was used to represent the baseline, while future projection covers three periods including the near future (2010–2039), mid-century... A.B. Yamungu, A. Egeru, M.J. Majaliwa, B.M. Dossa |
5. Precision Farming Using Spatial Soil Variability Maps for Improved Banana Nutrient Management in UgandaBanana is one of the most important crops for millions of farmers in Uganda. However, its production has remained low due to limited understanding of the variability of soils for targeted nutrient management. Measures that improve the understanding of soils are instrumental to guide precision nutrient management in highly heterogeneous cropping systems. A study was conducted on a Ferralsol in central parts of Uganda to assess the spatial variability of Soil Organic Carbon (SOC), Total nitrogen... P. Musinguzi |
6. 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. Following... E.C. Basil, R.T. Basil |
7. 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 doses... O. Aidara |
8. CropSAT – opportunities for applications in precision agriculture in AfricaThe present paper aims at describing the CropSAT system, a Sentinel-2-based interactive decision support system (DSS) that provides vegetation index (VI) maps free-of-charge all across the globe for different applications in precision agriculture. We summarize research results from the ongoing developmental process and pointing to opportunities for development and application in precision agriculture in Africa. The DSS was initially developed in a research project at the Swedish University of... O. Alshihabi, I. Nouiri, M. Mechri, H. Angar, K. Piikki, J. Martinsson, M. Söderström |
9. MAPPING AND ASSESSING AFRICAN SOILS FERTILITY USING HIGH-RESOLUTION REMOTE SENSING AND MACHINE LEARNING APPROACHES: STATE-OF-THE-ART AND PERSPECTIVESAfrica is far from exploiting its true agricultural potential. United Nations Food and Agriculture Organization (FAO) indicates that the continent has 60% of non-cultivated lands worldwide. While soil fertility is well highlighted as one of the major limiting factors, only limited information is available on soil nutrient contents and nutrient availability in the African soils. Soil fertility of agricultural fields is related to many physical and chemical properties, such as texture, organic matter... M. Hmimou, A. Laamrani, F. Sehbaoui, A. Chehbouni, S. Khabba, D. Dhiba |
10. 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 interaction... P.E. Moi , O.M. Kitonyo, G.N. Chemining’wa, J.M. Kinama |
11. Soil fertility mapping of Dry savannah zone of TogoIncreasing agricultural productivity and therefore the production requires a good knowledge of the soil fertility status and a sustainable nutrients management. The objective of this study is to map spatial distribution of some selected soil fertility parameters in the dry savannah agro-ecological zone that covers the regions of Savanes and Kara in Togo. Soil fertility parameters such as pH, available phosphorus (P), exchangeable potassium (K) and organic matter were determined in soil samples... K.K. Ganyo, K.A. Ablede , K. Koudjega, S. Ani, K. Afawoubo, D.A. Anoumou, A.T. Mensah, E. Assih-faram, M. Tchalla-kpondji, K. Kpemoua, Y. Lombo |
12. Nutrient management tailored to smallholder agriculture enhances productivity and sustainabilityPlant nutrition plays a central role in the global challenge to produce sufficient and nutritious food, lessen rural poverty, and reduce the environmental footprint of crop production. Efficient fertilizer use requires tailored solutions that are scientifically sound, practical and scalable especially for smallholder farmers, such as the crop-led site-specific nutrient management (SSNM) approach developed in the 1990s for cereal production systems in Asia to address variability among farms. Originating... P. Chivenge, K. Saito, M. Bunquin, S. Sharma, A. Dobermann |
13. A geostatistical approach to define a soil fertility index based on the main soil macronutrientsSoil fertility is greatly affected by main soil macronutrients such as nitrogen (N), phosphorus (P), and potassium (K). These macronutrients can be used to define a synthetic fertility index to support soil fertilization. The study was aimed to propose a geostatistical approach to define a synthetic fertility index based on factorial cokriging. It consists in quantifying and reducing the spatial variability of multivariate data to only a few factors, related to different spatial scales. Such factors... H. Aboelkhier, A. Nasrallah, S. Shaddad, G. Buttafuoco |
14. LiDAR-based soybean crop segmentation for autonomous navigationThe technological advances in the last few decades have greatly changed agricultural operations. In order to became safer, more profitable, efficient, and sustainable, modern farms have adopted the use of sophisticated technologies, such as robots, sensors, aerial images, and GNSS (Global Navigation Satellite System). These technologies not only increase the crop productivity, but also reduce the wide use of water, fertilisers, and pesticides. Due to this, they reduce costs and negative environmental... V.A. Higuti, A.E. Velasquez, M.V. Gasparino, D.V. Magalhães, M. Becker, D.M. Milori, R.V. Aroca |
15. Soil organic carbon mapping in Tunisia: comparison of different interpolation methodsSoil organic carbon (SOC) stock is an important carbon pool in terrestrial ecosystems. It plays an important role in agricultural productivity and is often used as a key indicator of soil quality whether for soil fertility or climate regulation. SOC stocks are difficult to estimate due to the large spatial variability. In this way, many different techniques have been conducted for predicting and mapping SOC content. However, although numerous techniques are in use, there is still debate on which... M. Barbouchi, H. Bahri, A. Souissi, H. Cheikh m'hamed, M. Annabi |
16. 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 industry... J. Crouch, K. Shephard, M. Miller, J. Collinson, P. Singh, P. Pypers, R. Van den bosch, C. Van beek, M. Chernet, S. Aston |
17. 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 industry... C. Van beek, M. Chernet, S. Aston, M. Miller, J. Collinson, K. Shephard, J. Crouch, T. Terhoeven-urselmans |
18. 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 |
19. Strengthening the Knowledge Base for Sustainable Management of Inland Valleys in West Africa: Two Pilot Case Study Sites from Benin.Inland valleys offer a unique opportunity for increasing food security in West-Africa, but their potential is constrained by poor water management and a limited hydrological understanding. Increasing the hydrological understanding of inland valleys should be based on long term and detailed validated observations of hydrological fluxes in the different components of the inland valleys. We present in this study, two new pilot case study sites which aim observing the long-term dynamics of water... M.A. Tidjani, P.G. Tovihoudji, I.P. Akponikpe, M. Vanclooster |
20. Soil Moisture Sensing for Increased Water Use Efficiency and Crop Yields in Furrow Irrigated Systems: a Case of Mubuku Irrigation Scheme in UgandaWater and nutrient use efficiencies remain low in most of the irrigated systems in developing countries, undermining crop productivity in these areas. This is partly due to lack of precise and site-specific information to guide irrigation scheduling. In most cases information on soil properties and crop water requirements is lacking and thus irrigation scheduling is done on rotational basis whether the crop needs water or not. Consequently, the amount of water stored in soil root zone for crop... E. Opolot, D. Besigye, P. Musinguzi, I.N. Alou, T.A. Basamba, G. Olupot |
21. Comparative Assesement of Interpolation Techniques in Predicting Soil Properties on a Sloping Pasture Land Under Fallow in a Ferralsol in UgandaSoil variability is a major challenge in application of mineral fertilizers in Sub-Saharan Africa (SSA). Use of soil fertility maps can effectively guide the use of mineral or organic fertilizers or fertilizers. Interpolation techniques are widely used in the formulation of these fertility maps. The precision of spatial interpolation techniques for predicting unmeasured values have been reported by various researchers but there are cconflicting findings regarding the relative performance of these... J.M. Menya, P. Musinguzi, J.M. Mwanjalolo |
22. Use of Earth Observation Imagery, Advanced Modelling Algorithms and Other Monitoring Systems to Produce Operational Agricultural Annual Crop Inventories for Morocco.African farmers are facing the challenges of a changing climate, increased temperatures, changes in rainfall patterns, more frequent extreme weather events and reductions in water availability. The digital transformation of the agricultural sector is one of the opportunities that can promote good practices of the African agricultural through the sharing of information and tools for decision-making, thereby, boost economic growth of our African country. The shift to digital technologies is... M. Choukri, A. Laamrani , V. simonneaux , B. Gerard , S. Belaqziz, A. Chehbouni, K. Misbah, H. Mcnairn |
23. 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 (SC1=... M. Mazinagou, M.J. Sogbedji, A. N'gbendema |
24. 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 the... A. N'gbendema, M.J. Sogbedji, M. Mazinagou |
25. Agronomic Yield Response of Lowland Rice Varieties to Nutrient Application Under Flooded Irrigation in Northern UgandaGlobally, flooded irrigation is a major water management method used to boost rice production. In Uganda, flooded irrigation is being promoted for lowland rice farming amidst the increasing threat of climate change and variability. Use of mineral fertilizer and improved varieties during the rice cropping calender is a measure towards intensive and precision farming for increased yields. However, the response of lowland rice varieties to fertilization with a defined cropping calendar remain now... R. Akena, P. Musinguzi |
26. 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 by... P.C. Odong, G. Olupot, T.L. Odong, A. Mwije, P. Musinguzi, I.N. Alou, T.A. Basamba, P. Ebanyat, E. Opolot |
27. GNSS and SBAS Technologies for Precision Agriculture in AfricaThis presentation will highlight the various applications in the Agriculture sectors, their performance requirements, and the relevant Global Navigation Satellite System technologies (GNSS) that can meet these requirements. It will focus specifically on Satellite Based Augmentation System (SBAS) and Europe’s Galileo High Accuracy Service as upcoming systems in Africa that the Agriculture user communities are encouraged to leverage. ... A. Kobusinge |
28. High-Throughput Field Phenotyping of Ascochyta Blight Disease Severity in Chickpea Using Multispectral ImagingAscochyta blight (AB) caused by Ascochyta rabiei (Pass.) Labr. is an important and widespread disease of chickpea (Cicer arietinum L.) worldwide. The disease is particularly severe under cool and humid weather conditions, leading to crop losses at all stages of chickpea growth. Screening for resistant cultivars remains the most effective, economical and ecological method of disease management. However, traditional phenotyping methods that relying on trained experts are... F. Ibn el mokhtar, S. Krimibencheqroun , , A. Harkani , H. Houmairi , O. Idrissi , E. Abdellah , E. Abdellah |
29. Toward Precision Agriculture by Assessing FAO Soil Data Accuracy with Localised Soil Mapping in Mid-Western UgandaProper soil mapping remains a major input for efforts that aim at developing context specific soil and crop management. Soil maps often enable policy makers and other agricultural extension programs to establish the suitability of land for various production systems. Currently, most soil maps have been developed basing in the FAO soil data bases at a scale of 1:50,000 yet farmers and other local land users require fine scales to guide decision in the use of fertilizers and selection of suitable... P. Musinguzi, E. Ojambo |