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1. 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 promoti... J. Taylor |
2. 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 |
3. Integrating Models and Data to Observe the Effect of Biochar Used in a Rice-Cowpea Intercrop System on Soil Hydrological PropertiesPhysical properties of biochar like small particle size are highly porous and can modify soil properties and help to enhance soil water dynamics. However, there has been no consistent long-term measurements of change in soil physical properties due to biochar application under real field conditions. The objective was to assess the impact of biochar use in a rice-cowpea intercrop system on soil hydraulic properties at the field by integrating a modeling with soil water content measurements in ... |
4. Feasibility studies on developing farmer friendly rapid in-situ evaluation technique for soil quality in cocoa planation based on pocket-sized near-infrared spectroscopy and chemometricsRapid and in-situ determination of soil quality holds a brighter potential for improving food security, food quality and minimizing waste of excessive application of soil amendments with its effect of pollution. In this study a pocket-sized NIR spectroscopy (740 -1070 nm) and chemometrics coupled with mobile phone was used to predict nitrogen (N), phosphorus (P), potassium (K), pH and calcium (Ca2+) in cocoa plantation soils in Ghana. Different partial least square algorithms (Full... |
5. VALIDATION OF CLIMATE SMART AGRICULTURAL TECHNOLOGIES FOR IMPROVED CROP YIELDS IN SEMI-ARID LANDS IN KENYAKenya’s Vision 2030 economic strategy identifies agriculture as one of the key sectors to drive the Country’s economy. However, the agricultural sector faces various challenges. For instance, the sector is predominantly rain-fed due large coverage of arid and semi-arid lands (ASALs) which is approximately 84% of the total land area. Due to challenges associated with rain-fed agriculture in Kenya, the ASALs have the lowest development indicators and the highest incidence o... A.O. Esilaba |
6. Effect of variability in monthly rainfall and temperature has any influence to daily milk production in Sahiwal cows in KenyaGithinji M.G 1,2* , Ilatsia E.D. 1 , Muasya T.K 2 and Bebe B.O. 2 1 Kenya Agriculture and Livestock Research Organization, KALRO-Naivasha, P.O. Box 25 – 20117 Naivasha, Kenya 2 Department of Animal Sciences, Egerton University, P.O. Box 536 – 20115 Egerton, Kenya * corresponding author; macgithinji@gmail.com Abstract Monthly milk yield records of Sahiwal cows and meteorological data for monthly minimum and maximum temper... M.G. Githinji |
7. Precision Farming Technology to Increase Soil and Crop Productivity in Egypt Using Remote Sensing and GISPrecision farming or site-specific land management is a new approach for development the agriculture processes to increase the soil and crop productivity with saving efforts and costs. Precision farming includes many techniques such as Global Position Systems (GPS), Geographic Information Systems (GIS), Remote Sensing (RS), Yield Monitors, Internet of Things (IOT), Variable Rate Application (VRA), Yield Mapping, Site-Specific Management Zones (SSMZ) and Crop Modeling. SSMZ delineation can be ... A. Belal, M. Elsayed , M.E. Jalhoum, M. abdelatif , E. Hendawy , M. Emam, M. Zahran |
8. 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. ... E. Morimoto, Y. Arai, K. Nonami, T. Ito |
9. 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 |
10. détermination du bilan minéral partiel des exploitations agricoles à base du coton à l’aide du modèle NUTMONLa dégradation des sols des exploitations agricoles constitue ces dernières années une des causes principales des baisses de rendements au champ. A cet effet, la détermination quantitative des éléments nutritifs des sols cultivés peut contribuer à concevoir des stratégies de gestion durable de la fertilité de ces sols. C’est dans cette optique que 30 exploitations agricoles à base de coton ont été... A. Komlan, K. Kokou zovodu, A. Bassarou, G. Esso-iheyou, P. Justin |
11. The status of precision agriculture and its adoption in MoroccoPrecision agriculture (PA), as an integrated crop management system that uses various tools and technologies for assessing and monitoring soil and crop spatial variability and for implementing site-specific (variable rate) applications, is a concept that becomes nowadays in many developed countries a common practice rather than an innovation. On the contrary, in most developing countries, agriculture is still struggling with the basics of farming and is constrained by many factors, such as la... R. Bouabid |
12. Application of Information & Communication Technologies (ICTs) into Precision Farming Ecosystem in Ethiopian Digital Agriculture Development Perspective PlanInformation and Communication Technologies (ICTs) in agriculture is an emerging fields focusing on the enhancement of agriculture and digital technologies for precision farming are now replacing the traditional farming system. The Ethiopian government recognized the importance ICTs for the country’s development and ICT in Agriculture is also expected to be a key catalyst for the transformation of Agriculture so as to contribute for the economic prosperity in the country. The endorsed an... T. anberbir |
13. 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 |
14. Remote Sensing: from Plot Towards Landscape ScalesThe agricultural research sector is working to develop new technologies and decision support tools to sustainably increase food productivity, ensure global food security and decrease poverty. Precision Agriculture (PA) and specially Remote Sensing (RS) technologies have become more affordable in recent years. Cameras have become more compact and lighter, with improved spectral and spatial resolutions. The use of incoming light sensors allows for images to be automatically calibrated to surfac... F. Rodrigues |
15. Tropical Precision Agriculture: the Brazilian ExperienceSoils with limited natural fertility and high dependence on imported fertilizers, in addition to intense natural spatial variability, are factors that made Precision Agriculture (PA) develop in Brazil. More than 20 years of academic and business experience have been accumulated, with intense consulting services with business models adapted to local conditions, involving small, medium and large rural properties. Innovations and challenges are still needed in the field of soil fertility managem... J. Molin |
16. 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 |
17. 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 |
18. 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 |
19. 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 |
20. 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 |
21. Harnessing Soil Health to Create More Restorative and Resilient Food Systems in the Central Highlands Eco-Region FoodscapeThe relationships among soil health and adoption of regenerative practices, crop productivity, human nutrition and farm profitability are intricate and poorly understood, particularly in the Central Highlands of Kenya. There is a need for a deeper understanding of how soil health is affected by the profitability of preferred value chains among smallholders in this ecoregion. The Central Highlands Ecoregion Foodscape, or the CHEF, which is within the Upper Tana River Basin is centered around f... R. Sitienei |
22. Overview of Precision Agriculture Education in North AmericaDr. Fulton will present about current educational degree programs and courses being taught in North America on precision and digital agriculture. He will also note feedback from industry on precision agriculture educational needs and where universities are heading with their PA programs. ... J. Fulton |
23. Global Renewal and Future of On-farm ExperimentationExperimenting on farm with farmers is gaining momentum as a choice instrument to contribute to addressing global challenges. This presentation will show how the complex histories of field experiments and participatory research are leading toward OFE solutions that are both evidence-based and farmer-centric. Varied communities thread these collaborative innovation pathways, among which those of Precision Agriculture occupy a key position for their ability to leverage scientific rigor, agronomy... M. Lacoste |
24. The Role of Smart-Advisory Services in Climate-resilient AgricultureCrop management is strongly influenced by changes in weather and climate, therefore strengthening resilience and environmental sustainability will require robust advisory services that can support farmers’ decisions. Crop production adaptations to weather, climate variability, and change will need combined efforts from farmers, academia, industry, and government to co-develop solutions, train future workforce not only to advise the farming community but also develop solutions and also e... B. Ortiz |
25. Precision Agriculture in Africa; the Youth Are ReadyPrecision Agriculture holds enormous potential for Africa’s food security and socio-economic development. With the evolvement of the global agricultural systems and the growing emergence of the Fourth Agricultural Revolution (Agric 4.0), Africa is presented with a huge opportunity to leverage precision agriculture to meet its growing population demands in a sustainable environment. Of course, the growth of precision agriculture practices and tools is not without its challenges. However,... F. Adekoya |
26. Application of Remote Sensing Technologies for Monitoring within Field Soil and Crop Growth Variability... N. Majozi |
27. 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 |