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| Filter results15 paper(s) found. |
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1. Spatial Interpolation for Mapping Hydraulic Soil Properties in GIS EnvironmentSoil water information is an essential input for environmental, hydrological or land surface models. There is a need for reliable soil water information with current coverage in the area. A number of 60 soil profiles data were evaluated for the performance of estimates inverse distance weighting to map some of the soil quality properties. soil profiles were used for the application of geostatistics. Maps with the investigated coverage were produced with the soil information available about soil... M.A. Abdelrahman, A.M. Saleh, M.M. El sharkawy, E. Farg, S.M. Arafat |
2. 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 improved... A. Belal, M. Elsayed , M.E. Jalhoum, M. abdelatif , E. Hendawy , M. Emam, M. Zahran |
3. Using Site-Specific Management Zones for Potato Crop Management, East Nile Delta, EgyptThe field management zones (MZ) delineated using soil electrical conductivity (EC) and topographic parameters are the basis for site-specific crop management (SSCM). The objective of this paper was to delineation site-specific management zones of 155 feddans (67.2 ha) of a potato pivot field at East of Nile Delta, Egypt for use in smart farming based on spatial variability of soil and plant properties, yield and topographic attributes. The salinity measurement in the field... A.B. Belal, E.S. Mohamed, M.E. Jalhoum, M. zahran, M.A. Abdellatif, M.S. Emam, E.A. Hendway |
4. 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 |
5. Methodology for Assessing Nutrient Status of Nigeria Croplands: AfSIS/NiSIS Pilot Project - Pathway for Precision Agriculture MappingInherently low soil fertility, nutrient imbalances and accelerating degradation constitute threats to precision agriculture (PA), agricultural productivity and ecosystem services in sub-Saharan Africa (Nigeria inclusive). Presently, the geographical extent of existing nutrient constraints, location specific trends and opportunities for managing these over time are highly uncertain. The AfSIS/NiSIS project assessment aims to provide spatially explicit observations, measurements and predictions... V. Aduramigba-modupe, I. Amapu, M. Walsh, B. Scott |
6. Some essential nutrients, active limestone and pH status of north and center Tunisian soils.Tunisia is a North African country characterized by a Mediterranean climate in the north and Saharan climate in the south part of the country, which resulted in a high geo-morphological diversity of its soils. The last are known by their various fertility status that is affected by abiotic constrains such as salinity, drought, erosion and low organic matter concentration. Thereby, soil fertility is largely linked to geographical position, making fertilization recommendation... A. Hachana, I. Hemissi, I. Achour, A. Souissi, B. Sifi |
7. Performance agronomique et économique de différentes stratégies de gestion de la fertilité du sol sous culture de soja (Glycine max L. Merril) dans la zone littorale du Togo.Ce travail a pour objectif de valoriser les émondes de deux légumineuses arbustives et quelques fertilisants organiques pour améliorer la production du soja. Afin de parvenir à cet objectif, les paramètres comme la masse de mille graines, les rendements en gousses, en graines, en fanes du soja et autres ont été déterminés. L’étude a eu lieu à la Station d’Expérimentation Agronomique de Lomé (SEAL)... K.M. Amouzouvi, K.E. Ozou, L. Kolani, K.A. Amouzouvi, J.M. Sogbedji |
8. Monitoring Corn (Zea mays) Yield using Sentinel-2 and Machine Learning for Precision Agriculture ApplicationsCurrently, there is a growing demand to apply precision agriculture (PA) management practices at agricultural fields expecting more efficient and more profitable management. One of PA principal components for site-specific management is crop yield monitoring which varies temporally between seasons and spatially within-field. In this study, we investigated the possibility of monitoring within-field variability of corn grain yield in a 22ha field located in Ferarra, North Italy. Archived yield data... A. Kayad, M. Sozzi, F. Pirotti, F. Marinello, L. Sartori, S. Gatto |
9. 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 |
10. Engaging Stakeholders in Precision Agriculture Toolbox Conception: Case of Cowpea Atlas Platform Establishment in Benin RepublicCowpea [(Vigna Unguiculata (L.) Walpers] is among the most preferred and consumed legumes in West Africa and grown by many smallholder farmers. The crop has huge potential, is easy to grow and constitute a source of income of many actors involved in different value chains. Unfortunately, despite many interventions which aimed at promoting the crop in West Africa mainly Benin, areas under cowpea crop decrease over the years along with the loss of cowpea-based products. Such problem is... N.V. Fassinou hotegni, Y.L. Godonou, L.M. Gnanglè, O.N. Coulibaly, E.G. Achigan-dako |
11. 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 |
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 reason... Y. Lebrini, A. Ayerdi-gotor |
13. Development of a Decision Support Tool to Derive Site-specific Nutrient Management Recommendations for Maize Production Using Machine LearningAgriculture is the main source of food and income for rural communities in developing countries, especially in Africa. Given current population growth, pressures on agricultural systems will continue to increase. Many countries have agricultural economies that are highly dependent on agricultural productivity. For example, several variables can influence fertilization for optimal grain yields. Quantifying the effects and relative importance of soil properties such as soil type, pH, Olsen-P, climate,... O. Ennaji, L. Vergutz, A. El allali |
14. Maximisation De L’efficience D’utilisation Des Nutriments : Recommandation De Fertilisation à La Carte Pour Le Maïs Sur Les Ferralsols Du Sud-togoL'amélioration de la nutrition des plantes à travers l'agriculture de précision devient incontournable pour l'optimisation de l'entreprise agricole et la protection de l'environnement. Nous avons conduit pendant la grande saison culturelle de 2019 et 2020, sous culture de maïs (Zea mays L.), des essais soustractifs à base de l'azote (N), du phosphore (P) et du potassium (K) à la station d'expérimentations agronomiques (SEAL)... J. Sogbedji, L. William, M. Lare, A. Sekaya, K. Sika , E. Tagba |
15. An Ensemble-Based Deep Learning Approach for Early and Accurate Wheat Disease DetectionCrop diseases are the primarily cause for yield loss and a factor for food security issue around the globe. Crop diseases caused by pathogens pose a significant threat to global food security, the challenge become worst particularly in developing countries like Ethiopia. Rapid population growth and accurate disease identification is crucial for timely intervention and minimizing crop losses. However, traditional methods often rely on expert analysis, which can be time-consuming and resource-intensive.... T. Aboneh, P. Rorissa |