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Abdul Rasheed, M

Atiah, K

HARKANI , A

Er-Raki, S

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Authors

Teye, E

Abinadaw, T

Atiah, K

Amuah, C

KHARROU, M

Simonneaux, V

Le page, M

Er-Raki, S

Boulet, G

Ezzahar, J

Khabba, S

Chehbouni, A

Kassim, Y

Richard Oteng-Frimpong, R

Kanvenaa Puozaa, D

Kofi Sie, E

Abdul Rasheed, M

Abdul Rashid, I

Danquah, A

A. Akogo, D

Rhoads, J

Hoisington, D

D. Burow, M

Balota, M

IBN EL MOKHTAR, F

KRIMIBENCHEQROUN , S

HARKANI , A

HOUMAIRI , H

IDRISSI , O

Abdellah , E

Topics

Adoption of Precision Agriculture

Precision Water Management

On-Farm Experimentation

Adoption of Precision Agriculture

Type

Oral

Year

2020

2022

2024

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Authors

Filter results4 paper(s) found.
1. Feasibility studies on developing farmer friendly rapid in-situ evaluation technique for soil quality in cocoa planation based on pocket-sized near-infrared spectroscopy and chemometrics Rapid and in-situ determination of soil quality holds a brighter potential for improving food security, food quality and minimizing waste of excessive application of soil amendments with its effect of pollution. In this study a pocket-sized NIR spectroscopy (740 -1070 nm) and chemometrics coupled with mobile phone was used to predict nitrogen (N), phosphorus (P), potassium (K), pH and calcium (Ca2+) in cocoa plantation soils in Ghana. Different partial least square algorithms (Full...
2. Monitoring irrigation water use at large scale irrigated areas using remote sensing in water scarce environment Increasing 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 Download paper
3. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way ... Y. Kassim
4. High-Throughput Field Phenotyping of Ascochyta Blight Disease Severity in Chickpea Using Multispectral Imaging Ascochyta blight (AB) caused by Ascochyta rabiei (Pass.) Labr. is an important and widespread disease of chickpea (Cicer arietinum L.) worldwide. The disease is particularly severe under cool and humid weather conditions, leading to crop losses at all stages of chickpea growth. Screening for resistant cultivars remains the most effective, economical and ecological method of disease management. However, traditional phenotyping methods that relying on trained experts are... F. Ibn el mokhtar, S. Krimibencheqroun , , A. Harkani , H. Houmairi , O. Idrissi , E. Abdellah , E. Abdellah Download paper

Filter results4 paper(s) found.

1. Feasibility studies on developing farmer friendly rapid in-situ evaluation technique for soil quality in cocoa planation based on pocket-sized near-infrared spectroscopy and chemometrics

Rapid and in-situ determination of soil quality holds a brighter potential for improving food security, food quality and minimizing waste of excessive application of soil amendments with its effect of pollution. In this study a pocket-sized NIR spectroscopy (740 -1070 nm) and chemometrics coupled with mobile phone was used to predict nitrogen (N), phosphorus (P), potassium (K), pH and calcium (Ca2+) in cocoa plantation soils in Ghana. Different partial least square algorithms (Full...

2. Monitoring irrigation water use at large scale irrigated areas using remote sensing in water scarce environment

Increasing 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

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3. Implementing Field-Based High Throughput Plant Phenotyping: The Open Source Way

... Y. Kassim

4. High-Throughput Field Phenotyping of Ascochyta Blight Disease Severity in Chickpea Using Multispectral Imaging

Ascochyta blight (AB) caused by Ascochyta rabiei (Pass.) Labr. is an important and widespread disease of chickpea (Cicer arietinum L.) worldwide. The disease is particularly severe under cool and humid weather conditions, leading to crop losses at all stages of chickpea growth. Screening for resistant cultivars remains the most effective, economical and ecological method of disease management. However, traditional phenotyping methods that relying on trained experts are... F. Ibn el mokhtar, S. Krimibencheqroun , , A. Harkani , H. Houmairi , O. Idrissi , E. Abdellah , E. Abdellah

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