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| Filter results4 paper(s) found. |
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1. Spectral assessment of chickpea morpho-physiological traits from space, air and groundChickpea (Cicer arietinum) is an important grain legume in semi-arid regions and water-stress is a major constraint to its productivity. Area under chickpea cultivation is growing but climate change toward greater aridity results in higher precipitation instability and risks yields. The ability to assess water potential can support irrigation decisions. Thus, improved ability to spatially assess plants water status can promote more efficient irrigation. The current... I. Herrmann, R. Sadeh, A. Avneri, Y. Tubul, R. Lati, S. Abbo, D.J. Bonfil, Z. Peleg |
2. Irrigation Water Management for Potato crop under Pivot Irrigation System using Remote sensing techniquesWhen water application records low efficiency, the water losses increased. Irrigation systems often ignore soil variability and water applied uniformly on the field; hence, the water losses amplified. Which means more water application, more energy demand, and more money expenses. El-Salhia region contains a big agricultural farm located at the South Eastern of Nile delta. The field NO 34 was chosen to be investigated under the pivot central sprinkler irrigation system which cultivated with... |
3. Small Machinery for Sustainable Intensification of Crop-Livestock System under Biomass ShortageSmall crop-livestock systems in Low- and Middle-Income Countries (LMIC) such as North African ones are characterized by low mechanization levels, thus undermining their productivity and sustainability. Machinery being promoted in local markets are made and imported mostly from industrial countries where farm systems are larger in terms of size. Prices of these machines are not affordable for small to medium sized land-holding farmers who remain incapable of upgrading and modernizing their farming... U. Rudiger, Z. Aidoudi, A. Frija, M. Rekik, A. Zaiem, H. Cheikh |
4. 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 |