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Gatto, S

Abrahams, M

Oukarroum, A

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Authors

Kayad, A

Sozzi, M

Pirotti, F

Marinello, F

Sartori, L

Gatto, S

EL-MEJJAOUY, Y

Dumont, B

Vermeulen, P

Oukarroum, A

Mercatoris, B

Chtouki, M

Oukarroum, A

NGUYEN, F

Abrahams, M

Topics

Satellite Imagery

Proximal and Remote Sensing

Precision Nutrient Management

Small Holders and Precision Agriculture

Type

Oral

Year

2020

2022

2024

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Authors

Filter results4 paper(s) found.
1. Monitoring Corn (Zea mays) Yield using Sentinel-2 and Machine Learning for Precision Agriculture Applications Currently, there is a growing demand to apply precision agriculture (PA) management practices at agricultural fields expecting more efficient and more profitable management. One of PA principal components for site-specific management is crop yield monitoring which varies temporally between seasons and spatially within-field. In this study, we investigated the possibility of monitoring within-field variability of corn grain yield in a 22ha field located in Ferarra, North Italy. Archived yield data... A. Kayad, M. Sozzi, F. Pirotti, F. Marinello, L. Sartori, S. Gatto Download paper
2. Leaf-proximal Hyperspectral Data and Multivariate Modelling Approaches to Estimate Phosphorus and Potassium Content of Wheat Leaves The 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 Download paper
3. Improving Phosphorus Use Efficiency by Chickpea Crop Using Electromagnetic Induction, Soil Properties, and Crop Yield Data Under Semi-arid Conditions Under 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
4. Assessing the Potential of UAV-Acquired Multispectral Imagery Combined with Machine Learning Techniques in Mapping the Spatial Distribution of Taro And Sweet Potato in Smaller Holder Farms ... M. Abrahams

Filter results4 paper(s) found.

1. Monitoring Corn (Zea mays) Yield using Sentinel-2 and Machine Learning for Precision Agriculture Applications

Currently, there is a growing demand to apply precision agriculture (PA) management practices at agricultural fields expecting more efficient and more profitable management. One of PA principal components for site-specific management is crop yield monitoring which varies temporally between seasons and spatially within-field. In this study, we investigated the possibility of monitoring within-field variability of corn grain yield in a 22ha field located in Ferarra, North Italy. Archived yield data... A. Kayad, M. Sozzi, F. Pirotti, F. Marinello, L. Sartori, S. Gatto

Download paper

2. Leaf-proximal Hyperspectral Data and Multivariate Modelling Approaches to Estimate Phosphorus and Potassium Content of Wheat Leaves

The 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

Download paper

3. Improving Phosphorus Use Efficiency by Chickpea Crop Using Electromagnetic Induction, Soil Properties, and Crop Yield Data Under Semi-arid Conditions

Under 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

4. Assessing the Potential of UAV-Acquired Multispectral Imagery Combined with Machine Learning Techniques in Mapping the Spatial Distribution of Taro And Sweet Potato in Smaller Holder Farms

... M. Abrahams