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| Filter results10 paper(s) found. |
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1. 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 |
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. Mapping of soil nutrients variability in some plantation crops in Abeokuta, Ogun State Nigeria.The activities of man on the soil and the undulating topography have great effects on soil nutrients variability. For near accurate application of nutrients in precision agriculture in order to reduce wastage of resources, this research was conducted to acquaint the research farm of the institute with the nutrient variability at specific locations. A detailed soil survey was carried out at the Teaching and Research Farms of the Federal University of Agriculture, Abeokuta, Ogun State Nigeria. Following... E.C. Basil, R.T. Basil |
4. EFFECT OF INTERCROPPING SORGHUM WITH COWPEA AND NITROGEN APPLICATION ON GROWTH AND YIELD OF SORGHUM (Sorghum bicolor (L.) MOENCH)Despite the development of improved varieties, the yield of sorghum has remained significantly low in dryland environments due to low soil fertility and inappropriate cropping practices. However, implementation of precision agriculture (PA) within the context of companion cropping with legumes and fine-tuning the supply of fertilizer nitrogen (N) has the potential to increase sorghum yield in these environments. Nonetheless, the effect sorghum-cowpea compatibility, fertilizer N use and their interaction... P.E. Moi , O.M. Kitonyo, G.N. Chemining’wa, J.M. Kinama |
5. Effect of Plant Population and Nitrogen Rate on Growth and Yield of Two Pre-release rice varieties in KenyaThe application of precision agriculture (PA) through the optimization of plant population and management of fertilizer nitrogen (N) can increase rice yield. Current rice (Oryza sativa) plant population and fertilizer nitrogen (N) management guidelines in Kenya were developed from research conducted about three decades. These management guidelines might still be robust and could be applied to recently released as well as close-to- release varieties. However, the yield potential of... W. Kioko, W. Kioko, W. Kioko, W. Kioko, O. Kitonyo, G. Chemiming'wa, S. Gebeyehu, R. Murori |
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 environmental... V.A. Higuti, A.E. Velasquez, M.V. Gasparino, D.V. Magalhães, M. Becker, D.M. Milori, R.V. Aroca |
7. 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 |
8. Mapping the Spatial Variability, Status and Magnitude of Soil Acidity in Semen Ari District of South Omo, Southwestern EthiopiaSoil acidity is one of the major constraints to cropping systems in the vast highlands of Ethiopia. A common strategy for ameliorating soil acidity is the application of agricultural lime. However, formulation of measurement strategy was hampered by the lack of information on magnitude, extent and status of soil acidity and, high resolution soil acidity map. Therefore, this study was investigated to assess the magnitude and status of soil acidity, map its spatial variability in Semen... A.H. Hemacho |
9. Use of Earth Observation Imagery, Advanced Modelling Algorithms and Other Monitoring Systems to Produce Operational Agricultural Annual Crop Inventories for Morocco.African farmers are facing the challenges of a changing climate, increased temperatures, changes in rainfall patterns, more frequent extreme weather events and reductions in water availability. The digital transformation of the agricultural sector is one of the opportunities that can promote good practices of the African agricultural through the sharing of information and tools for decision-making, thereby, boost economic growth of our African country. The shift to digital technologies is... M. Choukri, A. Laamrani , V. simonneaux , B. Gerard , S. Belaqziz, A. Chehbouni, K. Misbah, H. Mcnairn |
10. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way... Y. Kassim |