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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 cashew... T. Bayala, I. Ouattara, A. Visala, S. Malo |
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. Estimating greensnap yield damage with canopy reflectance: a case studyGrain yield reduction caused by storm-induced plant breakage (green snap) occurs often in corn fields. With climate change and an increasing frequency in the occurrence of extreme weather events, it is essential to develop methods that can accurately estimate green snap damage, so growers can be properly compensated by insurance companies for yield loss. Because plant breakage also affects crop canopy reflectance, this case study aimed to characterize the changes in crop canopy reflectance... G. Dias paiao, T.J. Nigon, F.G. Fernández, C. Cummings, S.L. Naeve |
4. Orchard Yield Assessment in North-East of Morocco using Satellite ImageryAgricultural sector represents one of the pillars of the Moroccan economy. The Green Morocco Plan (GMP) established in 2008 present the main engine of development of this sector and for local economy. One of the objectives of Pillar I and Pillar II of GMP was to maximize production with less use of water resources. As an effect of climate change, Morocco is experiencing a strong variability in spatial and temporal variability of precipitation with a detrimental effect on yield and quality of crop... K. Aberkani, A. Matese, S. Samri, M. Said, S. Di gennaro, P. Toscano |
5. FARMER CHARLIE: PRECISION AGRICULTURE AT SMALLHOLDER FARMERS’ SERVICEPreliminary research and an ongoing project in Nigeria showed that agriculture is a crucial activity in the country. It is mainly carried out in small, family-owned farms: in fact, 88% of Nigeria farmers work on less than 0.5 ha. Lack of resources, of readily available information and the impact of climate on agricultural activities lead to low yields and high-cost farm inputs (FAO, 2020). The availability of agricultural data and weather forecast information could play an essential role in improving... B. Bonnardel, G. Cursoli |
6. 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 |
7. 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. Lodging... E. Morimoto, Y. Arai, K. Nonami, T. Ito |
8. 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 |
9. Predicting in-Season Sorghum yield potential using Remote Sensing Approach: a case study of Kano in Sudan Savannah agro- ecological zone, NigeriaThe preliminary estimation of expected yields and the accuracy of this evaluation provide information for decision-making related to the harvest. Estimating crop yield using remote sensing techniques has proven to be successful, having the ability to provide yield estimates prior to harvest. This study was conducted to examine the applicability of Sentinel-2B for estimating sorghum yield during the 2018 rainy season in Bebeji, Dawakin-Kudu and Rano Local Government Areas Kano State, in the Sudan... A. Tukur, H.A. Ajeigbe, F.M. Akinseye, I.B. Mohammed, M.M. Badamasi |
10. Analysis, design and development of a web and mobile application for fertilizer olive orchards recommendationsFarmer’s fertilization practices (FFP) in olive intensive or super intensive orchards must be improved to a better control of fertilization costs, to increase olive yielding, to maintain soil fertility and to avoid environment pollution. Indeed, a large category of fertilizer users apply fertilizers arbitrary (66%) without any knowledge about the adequate nutrient requirements of a such planting system. To improve the FFP in intensive and super intensive olive orchards, and in the frame... A. Larbi, H. Boulal, H. El arbi, W. Ben hamouda |
11. 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 |
12. Soil fertility characterization and mapping for Adigudem plain, Northern EthiopiaAs Ethiopia’s agriculture has been influenced by variability and poor soil fertility management and information, thus this study was aimed to determine the physico-chemical properties of soils and build geo-referenced soil information systems so as to have precision agriculture for adigudem plain. An area of 229 km2 comprising different villages was delineated for the study. Soil sampling points were arranged in a grid form and georeferenced using a hand-held GPS. A total of 194 Soil samples... G. Berhe |
13. Using Decision Support Tool for Site Specific Nutrient Management in Maize Production in Ethiopia: The case of Nutrient ExpertThere are huge variabilities among farmers in terms of crop management practices, soil types and fertility status as well as climatic conditions all of which affects crop fertilizer requirement and yield. Despite these variations, farmers are using blanket/regional fertilizer recommendations, which does not consider the above-mentioned variabilities. As a consequence, farmers are either practicing over fertilization or under fertilization, both of which have undesirable consequences. Therefore,... T. Balemi |
14. Fighting Food, Fertilizer, and the Climate Crisis in Africa Through Targeted Nitrogen ManagementFood insecurity is a major challenge in Africa which is likely to worsen in the future unless food production in the region is substantially increased to keep up with the food demand of the increasing population. A sufficient amount of nitrogen (N) fertilizer is required for increasing crop yield as N helps convert solar radiation into carbohydrates that drive plant growth. However, smallholder producers in Africa use a small quantity of fertilizer N not sufficient for plant needs resulting... T. Sapkota, N. Cheerakkollil konath, R. Takele, S. Snapp |
15. Self-developed Small Robot for Tomato Plants DetectionA mobile (robot) measuring station for tomato plant detection has been developed, equipped with different sensors and a self-developed hardware and software background. The development aims are the applications in precision crop production: artificial intelligence- based detection, imaging, data collection, automation, and remote sensing. The robot is fault- free in field conditions and is therefore a key development tool for precision farming and digital agriculture. The measurement system developed... B. Ambrus, G. Teschner, M. Neményi, A. Nyéki |
16. 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 |
17. 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 |
18. Precision Agriculture for Sustainable Transformation of Food Systems in Africa... A. Bouraqqadi |
19. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way... Y. Kassim |
20. Sustainability of Maize Production with Farmers’ Practices and Redesigned Crop Management Practices in CRV and Jimma of EthiopiaMulti-criteria assessment of crop management practices is vital for sustainable crop production and environmental safety. In this study, sustainability of maize production with farmer’s practice (FP), redesigned plant density plus current fertilizer use (RDCF), current plant density plus redesigned fertilizer use (CDRF), and redesigned plant density and redesigned fertilizer use (RDRF) were assessed at farm level based on social, agronomic, economic and environmental principles in Central... W. Kenea, A.N. Woldekristos, T. Balemi |