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AKPONIKPE, I.P

Atnafu, O

Aduaramigba, V

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Authors

OKAFOR, B.N

Aduaramigba, V

Denton, O

TIDJANI, M.A

TOVIHOUDJI, P.G

AKPONIKPE, I.P

VANCLOOSTER, M

ENDRIS, S

Mesfin, T

Atnafu, O

Tamiru, S

Topics

Precision Agriculture for Field and Plantation Crops

Precision Water Management

Remote and Proximal Sensing

Type

Oral

Poster

Year

2020

2022

2024

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Authors

Filter results3 paper(s) found.
1. Mapping of micronutrients status in soils under multivarietal Citrus sinensis production for precision agriculture Citrus production in Nigeria is below the world average; and this is caused among other things by poor soil management. The situation is further acerbated by blanket fertilizer application and low application of precision in soil fertility management. A study was carried out on a 34 year old multi varietal citrus orchard under sweet orange (Citrus sinensis) to determine the current soil fertility status and variability of micronutrients. Soil samples were collected at a sampling depth... B.N. Okafor, B.N. Okafor, V. Aduaramigba, O. Denton Download paper
2. Strengthening the Knowledge Base for Sustainable Management of Inland Valleys in West Africa: Two Pilot Case Study Sites from Benin. Inland valleys offer a unique opportunity for increasing food security in West-Africa, but their potential is constrained by poor water management and a limited hydrological understanding. Increasing the hydrological understanding of inland valleys should be based on long term and detailed validated observations of hydrological fluxes in the different components of the inland valleys. We present in this study, two new pilot case study sites which aim observing the long-term dynamics of water... M.A. Tidjani, P.G. Tovihoudji, I.P. Akponikpe, M. Vanclooster
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. Mapping of micronutrients status in soils under multivarietal Citrus sinensis production for precision agriculture

Citrus production in Nigeria is below the world average; and this is caused among other things by poor soil management. The situation is further acerbated by blanket fertilizer application and low application of precision in soil fertility management. A study was carried out on a 34 year old multi varietal citrus orchard under sweet orange (Citrus sinensis) to determine the current soil fertility status and variability of micronutrients. Soil samples were collected at a sampling depth... B.N. Okafor, B.N. Okafor, V. Aduaramigba, O. Denton

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2. Strengthening the Knowledge Base for Sustainable Management of Inland Valleys in West Africa: Two Pilot Case Study Sites from Benin.

Inland valleys offer a unique opportunity for increasing food security in West-Africa, but their potential is constrained by poor water management and a limited hydrological understanding. Increasing the hydrological understanding of inland valleys should be based on long term and detailed validated observations of hydrological fluxes in the different components of the inland valleys. We present in this study, two new pilot case study sites which aim observing the long-term dynamics of water... M.A. Tidjani, P.G. Tovihoudji, I.P. Akponikpe, M. Vanclooster

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