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| Filter results7 paper(s) found. |
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1. 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 content... Y. El-mejjaouy, B. Dumont, P. Vermeulen, A. Oukarroum, B. Mercatoris |
2. Improving Phosphorus Use Efficiency by Chickpea Crop Using Electromagnetic Induction, Soil Properties, and Crop Yield Data Under Semi-arid ConditionsUnder arid and semi-arid conditions, the agricultural sector faces many challenges related to the use of water and mineral resources for crop production and food security for an exponentially growing population. The impact of climate changes on water resources availability and soil quality is more and more emphasized under the Mediterranean basin, mostly characterized by drought and extreme weather conditions. The present study aims to investigate how electromagnetic induction technique and soil... M. Chtouki, A. Oukarroum, F. Nguyen |
3. Assessment of Nitrogen and Phosphorus Content (NP) in Citrus Trees Using UAV-imagery Derived Vegetation Indices and Machine Learning AlgorithmsMonitoring nutrient status of citrus trees is fundamental to ensure optimum fruit yield and quality. However, this task is traditionally time-consuming and laborious. Unmanned Aerial Vehicles (UAVs), with their high temporal and spatial resolution imagery, are demonstrating a great potential to substitute traditional methods in assessing nutrient status of several crops, including citrus. In this study, we evaluated the performance of vegetation indices (VIs) derived from UAV multispectral images... Z. Abail, H. Benaouda, M. Chikhaoui, H. Benyahia, O. Iben halima, M. Baraka, A. Douaik, H. Iaaich, A. Zouahri, F. Omari |
4. Farmers’ Perception and Willingness to Adopt Drone Technology in AgricultureThe application of drones, Unmanned Aerial Vehicles (UAVs), in agriculture has led to a paradigm shift in farming practices by reducing production costs and increasing operational efficiency and profitability. However, there is a lack of empirical reports on the efficiency and profitability of UAV application to agriculture in Nigeria, limiting the contribution of Nigerian agriculture to the global scientific discourse on drone technology and advancement. This study investigates farmers’... F.J. Adekoya, S.O. Jimoh, O.A. Ogunsola, T.A. Azeez, R.O. Aminu |
5. Precision Farming and Automation in Africa: Challenges and OpportunitiesDigitalization, artificial intelligence, robotics and automation are currently driving a new revolution towards precision farming (PF) and Agriculture 4.0. This will contribute to enhanced sustainability and agroecological advances through optimal use of soil, water, agricultural inputs, as well as pest and weed control, providing accurate decision support systems to farmers. PF is gradually transforming agricultural landscape by supporting farmers with optimized management of inputs and resources... R. Serraj |
6. How 20 Years of Precision Agriculture Experience Can Benefit Small LandholdersMost people think only larger farms can benefit from incorporating precision agriculture technologies, when the bigger impact happens with smaller farms. A ten percent increase in crop yield is much more impactful for small land holders for various reasons based upon 20 years’ experience, research, and personal utilization. Incorporating remote sensing, drones, small autonomous robots, and other technologies and practices can help small holders increase yield, crop quality, and free up labor... R. Blair |
7. Smart or Precision Agriculture Technology to Mitigate Climate Change for Sustainable Agriculture DevelopmentAgriculture is one of the economic sectors that affect climate change contributing to Greenhouse gas (GHG) emissions directly and indirectly.The main goal of the Precision Agriculture (PA) or Smart Agriculture (SA), hypothesize that the increase in crop production and hence food security can be achieved by enhancing the productivity and efficiency of the presently cultivated soils and reclamation of new lands for crop production. Agriculture remains to be one of Egypt’s most important sectors... A. Belal |