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Kamau, J.W

HARKANI , A

Kenea, W.B

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Authors

Terhoeven-Urselmans, T

Fletcher, D

Karanja, M.M

Kamau, J.W

Kenea, W.B

Tura, T.B

Woldekristos, A.N

IBN EL MOKHTAR, F

KRIMIBENCHEQROUN , S

HARKANI , A

HOUMAIRI , H

IDRISSI , O

Abdellah , E

Topics

Precision Agriculture for Small Holders

Precision Nutrient Management

Adoption of Precision Agriculture

Type

Oral

Year

2020

2022

2024

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Filter results3 paper(s) found.
1. Deep Learning is bringing pan-African small holder advisory services based on mid-infrared spectroscopic soil analysis to the next level The majority of African smallholder farmers do not have access to soil analytical services. The main reasons are relatively high costs of wet chemical services and difficult logistics. As a result they have to rely on blanket fertilizer recommendations. This often causes poor soil management due to very heterogeneous soil conditions. As a result, the return on investment from blanket fertilizer recommendations is low and fertilizer acceptance is not growing among smallholder farmers. Soil spectral... T. Terhoeven-urselmans, D. Fletcher, M.M. Karanja, J.W. Kamau
2. Precision Maize Nutrition: Evidences from On-farm Experimentation of Quefts Estimated Nutrient Requirement for Variable Densities in Smallholder Farmers in Ethiopia Quantitative Evaluation of the Fertility of Tropical Soils (QUEFTS) model is an important tool for estimating optimal nutrient requirement of crops. The study was conducted to evaluate QUEFTS estimated (QE) nutrient requirement of maize in two pant densities (32,443 and 53,333 plants/ha in Central Rift Valley (CRV); 27724 and 62,000 plants/ha in Jimma) on fields of three farmers wealth classes (poor, medium and wealth) in contrasting agro-ecologies of Ethiopia. QUEFTS follows a target oriented... W.B. Kenea, T.B. Tura, A.N. Woldekristos Download paper
3. 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 results3 paper(s) found.

1. Deep Learning is bringing pan-African small holder advisory services based on mid-infrared spectroscopic soil analysis to the next level

The majority of African smallholder farmers do not have access to soil analytical services. The main reasons are relatively high costs of wet chemical services and difficult logistics. As a result they have to rely on blanket fertilizer recommendations. This often causes poor soil management due to very heterogeneous soil conditions. As a result, the return on investment from blanket fertilizer recommendations is low and fertilizer acceptance is not growing among smallholder farmers. Soil spectral... T. Terhoeven-urselmans, D. Fletcher, M.M. Karanja, J.W. Kamau

2. Precision Maize Nutrition: Evidences from On-farm Experimentation of Quefts Estimated Nutrient Requirement for Variable Densities in Smallholder Farmers in Ethiopia

Quantitative Evaluation of the Fertility of Tropical Soils (QUEFTS) model is an important tool for estimating optimal nutrient requirement of crops. The study was conducted to evaluate QUEFTS estimated (QE) nutrient requirement of maize in two pant densities (32,443 and 53,333 plants/ha in Central Rift Valley (CRV); 27724 and 62,000 plants/ha in Jimma) on fields of three farmers wealth classes (poor, medium and wealth) in contrasting agro-ecologies of Ethiopia. QUEFTS follows a target oriented... W.B. Kenea, T.B. Tura, A.N. Woldekristos

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3. 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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