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1. 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 cashe... T. Bayala, I. Ouattara, A. Visala, S. Malo |
2. REVISITING INLAND VALLEYS MANAGEMENT STANDARDS IN THE CONTEXT OF GLOBAL CHANGE IN WEST AFRICAConsidered as main alternative to the crisis of traditional production systems, inland valleys management pains more and more to fill expectations of West African’s farmers due to the inadequacy, in the current context of climate, agrarian and environmental change of the management standards applied to these ecosystems. One consequence of this inadequacy is the inefficient exploitation of the inland valleys with the results being the persistence of the food insecurity, environmental deg... A. Tidjani, P. Tovihoudji |
3. MARKET ACCEPTANCE AND WILLINGNESS TO PAY FOR DRONE TECHNOLOGY IN THE APPLICATION OF PESTICIDE FOR THE CONTROL OF FALL ARMYWORMIn Ghana, maize is one of the major staple food crops. Since 2016, it has been plagued by fall armyworm, leaving production capacity below the national average. The introduction of drone technology was to assist farmers to reduce havoc caused by the fall armyworm. The majority of research done in the area of drone technology has focused on the technical and mechanical aspects. This gap gives rise to this study, as the study seeks to; find out the socioeconomic characteristics of maize farmers... S. Omega |
4. 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&nb... S.C. Karad, G.U. Shinde, P. Kumar |
5. Small Machinery for Sustainable Intensification of Crop-Livestock System under Biomass ShortageSmall crop-livestock systems in Low- and Middle-Income Countries (LMIC) such as North African ones are characterized by low mechanization levels, thus undermining their productivity and sustainability. Machinery being promoted in local markets are made and imported mostly from industrial countries where farm systems are larger in terms of size. Prices of these machines are not affordable for small to medium sized land-holding farmers who remain incapable of upgrading and modernizing their far... U. Rudiger, Z. Aidoudi, A. Frija, M. Rekik, A. Zaiem, H. Cheikh |
6. 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 envir... V.A. Higuti, A.E. Velasquez, M.V. Gasparino, D.V. Magalhães, M. Becker, D.M. Milori, R.V. Aroca |
7. Autonomous Hexacopter Spraying drones for plants protectionAbbes KAILIL1, Hassan BENAOUDA2, Abdelhakim MOHCINE3, 1 Eng. Doctor in aerospace engineering, Moroccan Industry Services & Engineering SARL, Morocco. 2 Eng. Doctor in Agriculture, INRA, Morocco. 3 Engineer in agriculture, ONCA, Morocco. Farming technologies have consi... H. Benaouda, A. Mohsine, A. Kailil |
8. Geo-statistical Prediction of Spatial Distribution of Salt-affected Soils of Meki-Zeway agricultural areas: Actionable baseline information for practical implementation of precision agriculture in similar salinity/sodicity prone areas in EthiopiaSalinity and sodicity-induced soil degradation are major soil property related environmental constraint with severe negative impacts on productivity and sustainability of both rainfed and irrigated agriculture in arid and semi-arid lowlands of Ethiopia. The spatial prediction, data bases creation and preparation of actionable digital soil salinization/sodiciation pattern maps has a special importance to enable site-specific management system leading to the establishment and execution of Digit... M. Minaleshoa |
9. An Open Source Multispectral Camera for Crop MonitoringPrecision agriculture is one of the most important economic issues of the 21st century because it will make it possible to respond to the new challenges of agriculture, which are population growth, global warming, global epidemics, and inflation, to name a few. Remote sensing makes it possible to monitor the plantation from a distance and makes it possible to know the level of growth and the state of health and hydration of the plants. This paper outlines an affordable and open-source multisp... H. Nardjes, M. Yagoubi |
10. Leaf-proximal Hyperspectral Data and Multivariate Modelling Approaches to Estimate Phosphorus and Potassium Content of Wheat LeavesThe assessment of plant nutrient status to provide sufficient fertilization for rapid and continuous uptake by plants has been based on visual diagnosis in the field, which is quick but demands a lot of experience and has low operability. Visible near-infrared spectroscopy (VNIS) has shown to be a quick, non-destructive, accurate, and cost-effective analytical method in precision agriculture. In this study, we assessed the potential of this technology to predict phosphorus and potassium conte... Y. El-mejjaouy, B. Dumont, P. Vermeulen, A. Oukarroum, B. Mercatoris |
11. 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 sens... M. Söderström, K. Persson |
12. Performance of Remote Sensing Data and Machine Learning for Wheat Disease DetectionThe use of agrochemicals has many impacts on humans’ health and generates many environmental issues. However, a suitable management of agrochemicals inputs, such as insecticides, fungicides, and herbicides, is crucial to the success of wheat crops under climate change conditions. The use of remote sensing technologies in agriculture was raised within the technological evolution of materials and techniques during last decades. The development of new and cheap sensors has been the main re... Y. Lebrini, A. Ayerdi-gotor |
13. Unmanned Aerial Vehicles (UAVs) for Phenotypic Traits Estimation & Yellow Rust Disease Severity Assessment in Small-scale Wheat Breeding Trials in EthiopiaRemote Sensing (RS) platforms; like the Unmanned Aerial Vehicles (UAVs) are recently gaining traction in agricultural data collection systems and used for various phenotyping of breeding field trials and capturing different biophysical, biochemical and sanitary traits which can be used to predict and explain the resulting yield and selecting better verities. Compared to the conventional phenotyping usually done by visual scoring and manual measurements which is time consuming/back breakings, ... T. Anberbir, G. Mamo , A. Dabi |
14. 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 |
15. Application of Remote Sensing Technologies for Monitoring within Field Soil and Crop Growth Variability... N. Majozi |
16. A Comparative Estimation of Maize Leaf Moisture Content on Smallholder Farming Systems Using Unmanned Aerial Vehicle (UAV) Based Proximal Remote SensingUnderstanding maize moisture conditions is necessary for crop monitoring and developing early warning systems to optimise agricultural production in smallholder farms. Therefore, this study evaluated the utility of UAV derived multispectral imagery and machine learning techniques in estimating maize leaf moisture indicators; equivalent water thickness (EWT), fuel moisture content (FMC) and specific leaf area (SLA). The results illustrated that both NIR and red-edge derived spectral variables ... S. Ndlovu |
17. Comparative Assessment of Landuse Landcover Changes on Water Quality of River Kaduna from 2012-2020 at Wuya, Niger State, NigeriaThe study investigates the effects of land use land cover changes on water quality of River Kaduna from 2012-2020 at Wuya, Niger state, Nigeria using Landsat 7 imagery. Five classes of LULC types where selected and used as basis for classification. Also five (5) sampling stations selected on the water body for water quality analysis which were collected once monthly for a period of six months from February 2020 to July 2020. The results of LULC classification depicts an increase in water body... I. Saratu usman, F. Yusufu |
18. Assessment of Nitrogen Fertilization in Tunisian Wheat Production Using Proximal and Remote SensingThe cereal sector in Tunisia covers wide areas in the country from sub-humid to semi-arid zones; most of the fields are rainfed. The sector is suffering from climate change impacts in term of rainfall amount and pattern. Water management policy in the country prioritizes allocating surface water to domestic uses than irrigation. On the other hand irrigation using groundwater (e.g. in Kairouan) continue to over use the water table with an average drawdown of 5 m/year. Because of this, low effi... M. Mechri, O. Alshihabi, H. Angar, I. Nouiri, M. Landolsi, M. Söderström, K. Persson, S. Phillips |
19. Factors Influencing Farmers’ Decisions on Timing and Application Rates of Irrigation Water in Semi-Arid Regions: A Case-Study of Mwala, Machakos County, KenyaThis study investigates the factors influencing farmers’ decisions on water application in arid and semi-arid regions, where water shortages are prevalent due to low and unreliable rainfall. The research involved interviewing 41 farmers registered under the Equity Group Foundation extension scheme, focusing on their irrigation scheduling techniques, timing, application rates, and other factors such as plant and soil conditions. The study also involved laboratory analysis of soil samples... D. Mongína, C.K. Gachene, G. Kironchi |
20. 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 appr... U. Safi, O. Abdallah , A. Sabri |
21. 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 ... N. Boughattas, K. Marwa, Z. Mohamed, A. Sawsen, A. Soumaya, H. Hafedh, H. Imen, T. Youssef |
22. 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 moistu... E. Mutsamba-magwaza, D. Nyamayevu, G. Nyamadzawo, R. Mandumbu, I. Nyagumbo |
23. Comparative Study on Precision Nitrogen Management for Wheat Using Greenseeker, Chlorophyll Meter and Leaf Color Chart Based on Spectral Characteristics of LeavesCollecting results on nitrogen (N) uptake throughout the growing season using tools such as GreenSeeker optical sensor, chlorophyll meter and Leaf Color Chart (LCC) holds great promise for optimizing N fertilizer management in cereal crops. To investigate this further, field experiments were conducted over two consecutive winter seasons (2017/2018 and 2018/2019) on wheat at the Experimental Farm of the Faculty of Agriculture, Cairo University, located in Giza Governorate, Egypt. The primary o... A. Soaud, E. El-metwally , A. Ali, R. Sayed |
24. 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 impa... I. Sbai, F. Sehbaoui, M. Hmimou |
25. Upland Rice Yield Response to Soil Moisture Variability with Depth Across Ferralsols and Gleysols in Western UgandaSoil moisture is a vital factor in boosting rice productivity by influencing the growth of healthy plants. In mid-western districts like Kikuube where rainfall is unpredictable, maintaining optimal soil moisture differs between a bountiful harvest and crop failure. Effective soil moisture management leads to improved water use efficiency, allowing crops to withstand periods of drought. This study assessed upland yield response to soil moisture variations with soil depth in Ferralsols and Gley... T. Matila, P. Tamale |
26. Real-Time Moisture Control in Irrigation Systems for Water Use Efficiency and Climate Change Resilience. A ReviewDue to the increasing water scarcity and uncertainties of climate change, improving crop water use efficiency and productivity, at the same time minimizing detrimental effects on the environment to meet the world's rising food demand. Thus, is necessary to adopt innovative irrigation strategies, such as drip irrigation. Smart irrigation has a potential of improving water use efficiency in precision agriculture. Conventionally, irrigation systems rely on heuristic methods in order to sched... D. Kindikiza |
27. Design and Development of a LoRa Communication System for Scalable Smart Irrigation SystemsSmart irrigation is a promising tool to optimize irrigation water use but is still faced with challenges related to usability and applicability attributed to several constraints such as high initial costs, complex user interface, poor connectivity, limited farm coverage, etc. This study aimed to solve some of these issues through the development and testing of a LoRa communication system using a Raspberry Pi 4, LoRa HAT concentrator, and Strega smart valve at the Makerere University Agricultu... J. Wanyama , J. Ikabat, I. Kabenge, P. Hess, P. Nakawuka, E. Bwambale , J. Muyonga, S. Felicioni, A. Bühlmann, T. Anken |
28. Predicting the Distribution of Groundnut Phytopathogens Under Current and Future Climatic Scenarios in ZimbabweGroundnut (Arachis hypogaea L.) is an important oil crop with immense nutritional and economic benefits, but its productivity in sub-Saharan Africa (SSA) is threatened by a plethora of phytopathogens such as groundnut rosette virus, Alternaria leafspots, early leafspots and peanut rust. In Zimbabwe, ecological niches and epidemiology of these pathogenic microbial strains, particularly under the current and predicted climate change scenarios, are still poorly understood. Yet, this inf... H. Chinwa, C.N. Kamutando |
29. Investigating the Interaction Between Soil Moisture and Clay Content for Enhanced Soil Moisture Prediction: A Lab-Based Approach with Implications for African Agriculture... Y. Atyosi |