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Woldekristos, A.N

Mesfin, T

Kenea, W

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Authors

Kenea, W.B

Tura, T.B

Woldekristos, A.N

Kenea, W

Woldekristos, A.N

Balemi, T

ENDRIS, S

Mesfin, T

Atnafu, O

Tamiru, S

Topics

Precision Nutrient Management

Small Holders and Precision Agriculture

Remote and Proximal Sensing

Type

Oral

Year

2022

2024

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Filter results3 paper(s) found.
1. 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
2. Sustainability of Maize Production with Farmers’ Practices and Redesigned Crop Management Practices in CRV and Jimma of Ethiopia Multi-criteria assessment of crop management practices is vital for sustainable crop production and environmental safety. In this study, sustainability of maize production with farmer’s practice (FP), redesigned plant density plus current fertilizer use (RDCF), current plant density plus redesigned fertilizer use (CDRF), and redesigned plant density and redesigned fertilizer use (RDRF) were assessed at farm level based on social, agronomic, economic and environmental principles in Central... W. Kenea, A.N. Woldekristos, T. Balemi 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 difference... S. Endris, T. Mesfin, O. Atnafu, S. Tamiru Download paper

Filter results3 paper(s) found.

1. 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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2. Sustainability of Maize Production with Farmers’ Practices and Redesigned Crop Management Practices in CRV and Jimma of Ethiopia

Multi-criteria assessment of crop management practices is vital for sustainable crop production and environmental safety. In this study, sustainability of maize production with farmer’s practice (FP), redesigned plant density plus current fertilizer use (RDCF), current plant density plus redesigned fertilizer use (CDRF), and redesigned plant density and redesigned fertilizer use (RDRF) were assessed at farm level based on social, agronomic, economic and environmental principles in Central... W. Kenea, A.N. Woldekristos, T. Balemi

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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 difference... S. Endris, T. Mesfin, O. Atnafu, S. Tamiru

Download paper