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| Filter results9 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. A reinforcement learning based approach for efficient irrigation water managementDue to population growth and the effects of climate change, most of the world's regions are threatened by water scarcity, especially in Africa and the Mediterranean region. In Morocco, agriculture consumes more than 85% of available water. Thus, to preserve water resources, the rational management of irrigation water is necessary. In this context, recent technological progress and the emergence of artificial intelligence could provide an effective decision support tool for the rational and... C. El hachimi, S. Belaqziz, S. Khabba, A. Chehbouni |
4. Precision Nitrogen Management in Maize Using an Optical Sensor in the Indo-Gangetic PlainsBlanket fertilizer nitrogen (N) for large irrigated maize field lead to low N use efficiency (NUE) due to spatial and in season temporal variability. In order to achieve higher NUE, a fertilizer N management strategy using GreenSeekerTMoptical sensor was evaluated. GreenSeekerTM uses visible and near-infrared spectral response from crop canopies. We conducted 03 field experiments during 2012-14 in monsoon season maize to define relationship and develop algorithm between in season... V. Singh |
5. 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 |
6. 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 |
7. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way... Y. Kassim |
8. Evaluating the Impact of Seasonal Weather Variability on Soil Moisture Conservation Under Mulching Systems for Date Palm Production in OasesSoil moisture is an essential parameter that governs crop production and soil health. Therefore, the critical role of soil moisture cannot be overstated in sustaining agriculture, especially in arid and semi-arid regions. Date palm production not only plays a vital role in economic and nutritional purposes in many arid areas but also plays important roles in creating favorable microclimates for agriculture and protecting lands from desertification. This study proposes an innovative approach... U. Safi, O. Abdallah , A. Sabri |
9. Capacity Building of African Young Scientists in Precision Agriculture Through Cross Regional Academic MobilityClimate change is one of the main problems affecting food and nutrition globally, particularly in sub-Saharan Africa. Adapting to and/or mitigating climate change in the agri-food sector requires merging information technologies, genetic innovations, and sustainable farming practices to empower the agricultural youth sector to create effective and locally adapted solutions. Precision Agriculture applied to crops (PAAC), has been advocated as a strategic solution to mitigate/adapt agriculture at... K. Frimpong, V. Fassinou hotegni, A. Karangwa, A. Manyatsi, M. Amri, D. Cammarano, C. Lesueur, J. Taylor, S. Phillips, E.G. Achigan-dako, G. Houessou, O. Linkpon, D. Tchokponhoué, C. Houdegbe, C. Adje |