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Remote and Proximal Sensing

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Authors

Abdellah, E

Atnafu, O

Bayad, M

Ben-Dor, E

EL KHALFI, C

ENDRIS, S

Gerrard, B

HAJJAJ, H

IBNO NAMR, K

Masemola, R

Mesfin, T

Tamiru, S

Topics

Remote and Proximal Sensing

Type

Oral

Year

2024

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Filter results4 paper(s) found.
1. Evaluating Soil Organic Matter Under a No-Till System Using Digital Sensors (EM38 and MSP3) Agriculture, especially in no-till systems, plays a crucial role in ensuring global food security. The pressure on agricultural lands due to a growing population and climate change necessitates innovative solutions. Proximal soil sensing using electromagnetic induction (EMI) and electrical conductivity (ECa) sensors has gained prominence. These technologies provide rapid, non-destructive measurements of soil properties, offering advantages over remote sensing and laboratory analyses... H. Hajjaj, K. Ibno namr, E. Abdellah , C. El khalfi Download paper
2. High Resolution Mapping of Long-Term Soil Organic Carbon Stocks and Changes in Morocco Soil organic carbon (SOC) as a major part of the soil organic matter (SOM) is important for soil productivity stability and climate change mitigation. Current regional SOC maps are not detailed enough and thus, do not support decision-making at farm and landscape and do not track carbon long-term changes. Using large soil dataset, multispectral satellite data, climate data and machine learning , we created a high-resolution topsoil (0-30cm) map of Morocco and estimated t... B. Gerrard, E. Ben-dor, M. Bayad Download paper
3. Development and Validation of an Algorithm for Optical Sensor-based Nitrogen Fertilization for Durum Wheat in Central Ethiopia I. Algorithm Development Monitoring in-season nitrogen (N) management using proximal optical sensors is often considered highly cost-effective and efficient. Developing a successful sensor-based algorithm to optimize in-season N application for durum wheat could enhance productivity and nitrogen use efficiency. This study aimed to develop and validate a sensor-based algorithm for N fertilization of durum wheat in central Ethiopia. The developed algorithm is based on the prediction of total N uptake from normalized di... S. Endris, T. Mesfin, O. Atnafu, S. Tamiru Download paper
4. Assessing The Potential Of Drone Remotely Sensed Data In Detecting The Soil Water Content, And Taro Leaf Chlorophyll Content Across Different Phenological Stages ... R. Masemola

Filter results4 paper(s) found.

1. Evaluating Soil Organic Matter Under a No-Till System Using Digital Sensors (EM38 and MSP3)

Agriculture, especially in no-till systems, plays a crucial role in ensuring global food security. The pressure on agricultural lands due to a growing population and climate change necessitates innovative solutions. Proximal soil sensing using electromagnetic induction (EMI) and electrical conductivity (ECa) sensors has gained prominence. These technologies provide rapid, non-destructive measurements of soil properties, offering advantages over remote sensing and laboratory analyses... H. Hajjaj, K. Ibno namr, E. Abdellah , C. El khalfi

Download paper

2. High Resolution Mapping of Long-Term Soil Organic Carbon Stocks and Changes in Morocco

Soil organic carbon (SOC) as a major part of the soil organic matter (SOM) is important for soil productivity stability and climate change mitigation. Current regional SOC maps are not detailed enough and thus, do not support decision-making at farm and landscape and do not track carbon long-term changes. Using large soil dataset, multispectral satellite data, climate data and machine learning , we created a high-resolution topsoil (0-30cm) map of Morocco and estimated t... B. Gerrard, E. Ben-dor, M. Bayad

Download paper

3. Development and Validation of an Algorithm for Optical Sensor-based Nitrogen Fertilization for Durum Wheat in Central Ethiopia I. Algorithm Development

Monitoring in-season nitrogen (N) management using proximal optical sensors is often considered highly cost-effective and efficient. Developing a successful sensor-based algorithm to optimize in-season N application for durum wheat could enhance productivity and nitrogen use efficiency. This study aimed to develop and validate a sensor-based algorithm for N fertilization of durum wheat in central Ethiopia. The developed algorithm is based on the prediction of total N uptake from normalized di... S. Endris, T. Mesfin, O. Atnafu, S. Tamiru

Download paper

4. Assessing The Potential Of Drone Remotely Sensed Data In Detecting The Soil Water Content, And Taro Leaf Chlorophyll Content Across Different Phenological Stages

... R. Masemola