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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. Preparation of a precision ripping plan using manual vertical penetrometer measurementsLarge weight power engines and tools used in agriculture significantly contribute to the formation of compacted and thickening layers starting from the soil surface. There are suitable deep ripping technologies to eliminate harmful soil compaction, which are extremely energy and cost demanding. In precision agriculture, it is possible to treat spatially delimited unfavourable soil patches. The bulk density (g/cm3) of the soil was calculated from the soil resistance and moisture content... T. Rátonyi, P. Ragán, A. Széles, P. Fejér, E. Harsányi, I. Bácskai |
3. A cheap alternative to data management and creating of yield maps of small-plot field experimentsLong-term field trials provide an opportunity to examine the long-term effects of crop production factors and the effect of different crop years can also be analysed. In the long-term field trial, spatial representation of the data belonging to each plot might be necessary for the purpose of soil heterogeneity analysis, working hypothesis, or even presentation. Researchers dealing with long-term field trials usually store the measurement data for a given experiment in Excel or in a database of... P. Ragán, T. Rátonyi, A. Széles, P. Fejér, I. Bácskai, E. Harsányi |
4. Soil mapping with the VERIS U3 soil scanner in a precision farm in HungaryCurrently, field crop production faces constant challenges. Extreme climatic conditions, deteriorating circumstances on the field have a negative impact on the quantity and quality of available yields, and the ever-changing agro-economic environment makes the profitability of the sector uncertain. Precision crop production means site-specific agricultural cultivation tied to geographical coordinates. Modern strip tillage technology based on precision technology for crops with wide row spacing... P. Ragán, E. Harsányi, T. Rátonyi, A. Széles, P. Fejér, I. Bácskai |
5. Estimating soil organic carbon from cell phone imagesSoil organic matter (SOM) is considered as the backbone of soil health and soil quality. Thus, its’ estimation is critical to support the development of management decision including precision agriculture. To overcome challenges of laborious, rather expensive and time-consuming laboratory measurements, recent advances in image acquisition systems provided a new dimension of image-based SOM prediction. However, challenges remain in using soil images taken directly in the field due to variable... A. Biswas, Y. Fu, P. Taneja, S. Lin, P. Daggupati, H. Vasava |
6. Mapping spatial variability of soil nutrient deficiencies in smallholder villages – a prerequisite for improved crop production in AfricaSmallholder farming is the dominating type of agricultural production in many parts of Africa. If cultivation practices can be adapted to match the specific needs of individual smallholder plots, this can certainly be regarded as a form of precision agriculture (PA), considering their limited size. A fundamental prerequisite for successful application of PA is the availability of basic information on soil properties at a detailed enough level. To fill yield gaps, site specific information must... M. Söderström, K. Piikki, J. Kihara, J. Mutua, J. Wetterlind |
7. Acceptance and Usage of Agri-tech in smallholder Chinese systems: Lesson learnt and implications for other small-holder farming systems.This paper will present a synthesis of activities performed in a collaborative UK-China project (PAFiC - 2015-2019) aimed at achieving a better understanding of the translation of precision agriculture (PA) technologies into small farms in China. The intent is to outline the farmer-focused approach that was used in the PAFiC project and the tools developed to understand PA adoption trends in China. Finally, we consider the potential implications of the outputs from PAFiC for promoting... J. Taylor |
8. Cashew Trees Detection and Yield Analysis using UAV-based MapIn this study we developed a novel method to detect cashew trees in an orthophoto map derived from images collected by an unmanned aerial vehicle (UAV). We also suggest a way in which these detections can be used to analyse the yield of the cashew farm. The proposed method uses images analysis to find the tops of trees, to merge different tops located on the same tree, and to segment individual tree. The segmented trees are used in a deep learning framework to know the exact location of cashew... T. Bayala, I. Ouattara, A. Visala, S. Malo |
9. Implementation of Proximal Soil Sensing, Data Fusion and Machine Learning to Improve Phosphorus Management at a Field ScaleIn the context of a rapid increase in phosphorus (P) fertilizers prices, new techniques are needed for geospatial predictions of soil P for improved P fertilizer management, while increasing farmer profitability and reducing environmental concerns. One of the biggest issues in site-specific phosphorus management is the substantial spatial variability in plant available P across fields. This leads to an expensive and laborious process for accurate mapping soil P using a traditional soil sampling... A. Lachgar |
10. 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 |
11. SmartAfriHub for SmartAgriculture capacity buidling in AfricaDigital Innovation Hubs (DIH) are multi-actor ecosystems that support farming communities in their digital transformation by providing a broad variety of services from a one-stop shop. DIHs purpose is to provide a social space for community of practices; provide access to digital technologies and competencies; provide access to infrastructure and tests digital innovations (“test before invest”); provide development playground... K. Charvat, C. Miderho , A. Obot, T. Löytty, H. Kubickova |
12. 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 |
13. 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 |
14. A review on Sensor based robotics agriculture: Improving traditional Agriculture PracticesAgribot could be a mechanism designed to reduce the labor of farmers by increasing the speed and accuracy of the work. Elementary functions concerned in farming i.e. plowing the sphere, sowing of seeds and covering the seeds with soil. Agribot is associate degree autonomous mechanism that provides the power for choices for offered techniques. Fruit Picker robots, autonomous tractor sprayers, this... S.C. Karad, G.U. Shinde, P. Kumar |
15. 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 multispectral... E. Rave, N. Ohana, R. linker, D. Termin, A. Beryozkin, T. Paz-kagan, S. Baram |
16. Determinants of the adoption of an intelligent monitoring system and effects on farms performance in TunisiaConcidering the observation of the rise of Computerized Management Software Packages and intelligent monitoring in a path of modernization of agricultural techniques, we questioned the main factors influencing the decision to adopt management software, farmers’ perception of these management tools and their impact on farm performance. Referring to a theoretical framework focused on innovation and the adoption of technologies in agriculture, we triggered the hypothesis of research... J. Ben nasr, H. Chiboub, M. Msaddak |
17. Predicting of Canopy Nitrogen Content Based on UAVs and Satellites Data Fusion in Citrus OrchardsNitrogen (N) is often regarded as the most critical nutrient and the growth-limiting factor in soil for plant growth and often needs to be supplemented by N-fertilization to minimize yield loss. However, the over-application of N fertilizers may cause nutrient imbalance and contribute to groundwater contamination by nitrate (NO3-) leaching and NOx air pollution. Today the evaluation of plant nutritional status (including N... A. Dagan |
18. A Time Series Investigation to Assess Climate Change and Anthropogenic Impacts on the Degradation of Nile Delta, Egypt.Land degradation risk, status and rate in Nile Delta, Egypt were assessed for a time series using remote sensing data over the past five decades using TM, ETM and OLI. Quantitative deterioration of the area was produced based on the comparative study approach in the integrated weighted sum, weighted overlay and fuzzy model. Where degradation factors were compiled in a raster and each data set scored on a 1 to 5 (very low, low, moderate, high and very high scale). The data sets were then weighted... B. Abdellatif, M.R. Metwalli, M.M. Metwaly, M.A. Abdelrahman |
19. 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 randomly... G.W. Gachara, R. Lahlali, R. Suleiman, B.M. Kilima |
20. Lime and Phosphorus Effects on Soil Acidity and Malt Barley Phosphorus Use Efficiency in Welmera District, Central Highlands of EthiopiaIn Ethiopia, about 43% of total arable land affected by soil acidity. Furthermore, phosphorus (P) deficiency is a major constraint to increase crop yields. Efforts to ameliorate the deleterious effects of soil acidity must therefore be accompanied by measures to increase P availability in soils. Therefore, appropriate rate of lime and P fertilizer is an important strategy for improving crop growth in acidic soils. Accordingly, an experiment was undertaken to study lime and P effects on soil acidity... N.T. Geremew, B.B. Waraka, L.W. Mirkena |
21. From Drone to Satellite – Does It Work?Multispectral drone-sensors are useful for detailed studies of crop characteristics in field trials, e.g. to create prediction models on nitrogen (N) uptake, or even estimates of optimal N rate to apply. To enable wide application of such models, they may be applied in satellite image-based decision support systems for farmers. However, successful transfer of models based on spectral data from one platform to another, requires strong and stable correlation between data from the different sensors.... M. Söderström, K. Persson |
22. Photogrammetrically Assessed Smallholder Pineapple Fields in Ghana Using Small Unmanned Aircraft SystemsUltra-high-resolution imagery taken by small unmanned aircraft systems (sUAS, drones) has been proven beneficial for the monitoring of agricultural crops in conventional farming especially in the context of precision farming. For smallholder pineapple cultivation, the use of sUAS imagery is still sparsely evaluated. However, technical developments in low cost sUAS-sensor combinations make assessments of agricultural areas by service providers more and more affordable for Africa. In this study,... M. Hobart, E. Anin-adjei, E. Hanyabui, G. Badu-marfo, M. Schirrmann, N. Schiller |
23. The Global Crop Nutrient Removal Database (Gcnrd): Development, Initial Analysis and Identification of Current Data GapsImproved understanding of the factors affecting nutrient uptake can enable production optimization, increased nutrient use efficiencies, reduced environmental footprints, and overall higher economic returns for farmers. Crop uptake is affected by genetics, soil, weather, agronomic practices, and their interactions. As such, understanding the way crop nutrient uptake varies across different regions and production environments requires the coverage of various parameters, and necessitates collaboration... C. Ludemann, A. Dobermann, N. Graff, S. Sela, M. Van loon, R. Hijbeek, M. Van ittersum |
24. Optimizing Durum Wheat Nitrogen Nutrition Index (NNI) Prediction Through Sentinel-2 Vegetation Index IntegrationNitrogen is crucial for durum wheat growth and productivity, but excess or insufficient levels can harm both the environment and farmers' finances. Remote sensing offers rapid, cost-effective, and nondestructive ways to assess crop nutrition, with vegetation indices (VIs) indicating plant health. This study aims to enhance the accuracy of durum wheat nitrogen status prediction by investigating modified formulations of Nitrogen Nutrition Index (NNI) coupled with various vegetation indices (VIs),... N. Boughattas, K. Marwa, Z. Mohamed, A. Sawsen, A. Soumaya, H. Hafedh, H. Imen, T. Youssef |
25. Rainwater Harvesting and Nutrient Intensification in Maize-Legume Farming Systems in Semi-Arid ZimbabweAgricultural productivity in Zimbabwe is declining mainly due to climate change and inherently poor soil fertility. The situation is worsened by the high cost of fertilizers beyond the reach of many smallholder farmers. In response to these challenges, most smallholder farmers are implementing either rainwater harvesting (RWH) or integrated soil fertility management (ISFM). This study sought to investigate the role of integrating the tied-contour RWH (TC-RWH) technique and ISFM on soil moisture,... E. Mutsamba-magwaza, D. Nyamayevu, G. Nyamadzawo, R. Mandumbu, I. Nyagumbo |
26. Use of “FertiEdge” Application for Optimizing Wheat FertilizationWheat is a crop of global importance, and effective fertilization is crucial to maximize yield and quality. Traditional methods of fertilization often result in under- or over-application of nutrients, resulting in environmental problems and suboptimal crop yields. FertiEdge is a digital application that provides accurate fertilization recommendations based on real-time data, it’s an innovative tool designed to enhance the efficiency of wheat fertilization. This study evaluates its impact... I. Sbai, F. Sehbaoui, M. Hmimou |
27. Optimizing Maize Production Through Minimum Tillage in Conservation Agriculture Systems: Evidence from Malawi's LowlandsSustainable intensification in agricultural systems has been implemented and promoted across Sub-Saharan Africa (SSA) as a strategy for addressing low crop productivity often resulting in widespread food and nutritional insecurity. This study sought to assess the productivity potential of conservation agriculture (CA) cropping systems and associated crop establishment techniques in terms of grain, protein and energy yield. An on-station trial was implemented at Chitala Research Station in Malawi... D. Nyamayevu, I. Nyagumbo, W. Liang , R. Li |