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| Filter results5 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. Potential precision agriculture practices for higher fruit and vegetable production in West Africa: A ReviewDuring the last decades, efforts have been made to increase the yield and the quality of major fruits and vegetables but still, farmers mainly those in West African countries are struggling to close the yield gap. Precision agriculture has been reported in most developed countries as a set of tools integrating information and technologies for efficient crop production. Over the decades, scholars have been skeptical about the development and implementation of precision agriculture in West Africa... V. Fassinou hotegni, L.W. Azonhoumon, E.G. Achigan-dako |
3. 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 |
4. Unmanned Aerial Vehicles (UAVs) for Phenotypic Traits Estimation & Yellow Rust Disease Severity Assessment in Small-scale Wheat Breeding Trials in EthiopiaRemote Sensing (RS) platforms; like the Unmanned Aerial Vehicles (UAVs) are recently gaining traction in agricultural data collection systems and used for various phenotyping of breeding field trials and capturing different biophysical, biochemical and sanitary traits which can be used to predict and explain the resulting yield and selecting better verities. Compared to the conventional phenotyping usually done by visual scoring and manual measurements which is time consuming/back breakings, susceptible... T. Anberbir, G. Mamo , A. Dabi |
5. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way... Y. Kassim |