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Gumede, N

Vasava, H

KRIMIBENCHEQROUN , S

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Authors

Biswas, A

Fu, Y

Taneja, P

Lin, S

Daggupati, P

Vasava, H

IBN EL MOKHTAR, F

KRIMIBENCHEQROUN , S

HARKANI , A

HOUMAIRI , H

IDRISSI , O

Abdellah , E

Gumede, N

Topics

Proximal and Remote Sensing

Adoption of Precision Agriculture

On-Farm Experimentation

Type

Oral

Year

2020

2024

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Authors

Filter results3 paper(s) found.
1. Estimating soil organic carbon from cell phone images Soil organic matter (SOM) is considered as the backbone of soil health and soil quality. Thus, its’ estimation is critical to support the development of management decision including precision agriculture. To overcome challenges of laborious, rather expensive and time-consuming laboratory measurements, recent advances in image acquisition systems provided a new dimension of image-based SOM prediction. However, challenges remain in using soil images taken directly in the field due to variable... A. Biswas, Y. Fu, P. Taneja, S. Lin, P. Daggupati, H. Vasava Download paper
2. 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
3. Benefits of Precision Agriculture in Sugarcane Farming: A case of KwaZulu-Natal, South Africa ... N. Gumede

Filter results3 paper(s) found.

1. Estimating soil organic carbon from cell phone images

Soil organic matter (SOM) is considered as the backbone of soil health and soil quality. Thus, its’ estimation is critical to support the development of management decision including precision agriculture. To overcome challenges of laborious, rather expensive and time-consuming laboratory measurements, recent advances in image acquisition systems provided a new dimension of image-based SOM prediction. However, challenges remain in using soil images taken directly in the field due to variable... A. Biswas, Y. Fu, P. Taneja, S. Lin, P. Daggupati, H. Vasava

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2. 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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3. Benefits of Precision Agriculture in Sugarcane Farming: A case of KwaZulu-Natal, South Africa

... N. Gumede