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| Filter results9 paper(s) found. |
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1. SIMULATION OF CASSAVA YIELD UNDER DIFFERENT CLIMATIC SCENARIOS IN KILEMBWE, SOUTH-KIVU PROVINCE EASTERN DR CONGOClimate variability and change are projected to significantly impact agricultural production across Africa. This study assessed the effects of climate variability and change on cassava yield in Kilembwe, South-Kivu province Eastern DR Congo. The assessment relies on the DSSAT crop model simulation of cassava under current and future climate. The period 1980–2010 was used to represent the baseline, while future projection covers three periods including the near future (2010–2039), mid-century... A.B. Yamungu, A. Egeru, M.J. Majaliwa, B.M. Dossa |
2. 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 |
3. A precision irrigation app for smart water management by farmersIn a context of climate change and water scarcity which is globally recognized, Morocco is one of the countries that are facing already insufficient water supply for irrigation in order to sustain productivity and food security. Therefore, there is a strong need for adapting agricultural practices and developing new technologies for efficient and smart irrigation management to make best use of available water and maximize productivity per unit of consumed water. Recent studies have shown that... A. Abouabdillah , R. Bouabid |
4. Monitoring irrigation water use at large scale irrigated areas using remote sensing in water scarce environmentIncreasing pressure on available water resources in semi-arid region will affect the availability of water for irrigated agriculture. In this context, adoption of innovative and cost-effective tools for water management and analysis of water use patterns in irrigated areas is required for an efficient and sustainable use of water resources. This study aims to evaluate a remote sensing-based approach which allows estimation of the temporal and spatial distribution of crop evapotranspiration... M. Kharrou, V. Simonneaux, M. Le page, S. Er-raki, G. Boulet, J. Ezzahar, S. Khabba, A. Chehbouni |
5. The status of precision agriculture and its adoption in MoroccoPrecision agriculture (PA), as an integrated crop management system that uses various tools and technologies for assessing and monitoring soil and crop spatial variability and for implementing site-specific (variable rate) applications, is a concept that becomes nowadays in many developed countries a common practice rather than an innovation. On the contrary, in most developing countries, agriculture is still struggling with the basics of farming and is constrained by many factors, such as land... R. Bouabid |
6. Comparison of soil testing and scanning methods for spatial variability assessment of soil fertility: implications for precision agricultureUnderstanding spatial variability of soil fertility is a key to variable rate nutrient applications for precision fertilization. The objective of this study was to assess field spatial variability of soil fertility using two approaches, a gridded soil testing and a scanner-based technique. Measurements were performed on a quarter pivot silage corn field of 13 ha. For the first approach, soil samples were taken on a geopositioned grid and were analyzed for the main physicochemical and nutrient... R. Bouabid |
7. Spatial variability of soil and tree nutrient status in relation to bitter pit incidence in apple orchards in the Sais plateau, MoroccoDiscreet spatial variability of soil fertility affects crop productivity and quality. In general, nutrient deficiencies are the most incriminated. However, excess or unbalanced nutrient can also impact seriously both yield and quality, especially in fruit tree crops. Bitter-pit, a nutrient disorder related to K-Ca-Mg unbalance in apple orchards can cause major loss of apple quality in field, as well as on post-harvest following periods of cold storage. Conventional composite sampling for soil... R. Bouabid |
8. From Drone to Satellite – Does It Work?Multispectral drone-sensors are useful for detailed studies of crop characteristics in field trials, e.g. to create prediction models on nitrogen (N) uptake, or even estimates of optimal N rate to apply. To enable wide application of such models, they may be applied in satellite image-based decision support systems for farmers. However, successful transfer of models based on spectral data from one platform to another, requires strong and stable correlation between data from the different sensors.... M. Söderström, K. Persson |
9. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear RegressionTraditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index (NDVI)... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud |