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Abdelfattah, M.A

Ahamefule, E.H

Amao, P.A

Abail, Z

ABLEDE, .A

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Authors

KOUDJEGA, K

GANYO , K.K

ABLEDE, .A

ANI , S.E

AFAWOUBO , K

ANOUMOU , D

ASSIH-FARAM,

MENSAH , A

TCHALLA-KPONDI,

KPEMOUA , K.E

LOMBO , Y

Amao, P.A

Amujoyegbe, B

Oyedele, D

Abail, Z

Benaouda, H

Chikhaoui, M

Benyahia, H

Iben Halima, O

Baraka, M

Douaik, A

Iaaich, H

Zouahri, A

Omari, F

Amin, M.E

Abdelfattah, M.A

Mohamed, E.S

Belal, A.A

Nabil, M

Mahmoud, A.G

Wahab, A.A

Olaniyan, O.J

Ahamefule, E.H

Topics

Precision Nutrient Management

Precision Agriculture for Field and Plantation Crops

Precision Nutrient Management

Precision Planting/Harvesting

Precision Water Management

Type

Oral

Poster

Year

2020

2022

Home » Authors » Results

Authors

Filter results5 paper(s) found.
1. Determining Nutrients rates for Maize, Rice, Cotton, and Tomato in Dry Savannah zone of Togo based on site specific nutrient management approach Inadequate fertilizer application limits crop yields and lead to the soil fertility depletion. This study aims at formulating nutrients rates recommendations for main the crops in dry savannah zone of Togo. Site specific nutrient management approach based on spatial variations in nutrients status, crops nutrients requirement and average crop yields under field conditions was used to determine recommendations rates in N, P and K. For maize cropping, nutrients needs are 94 kgN.ha-1, 42...
2. Fertilizer Micro-dosing on Growth and Vegetative Yield of Fluted Pumpkin (Telfairia occidentalis Hook. f) The study evaluated growth and vegetative response of fluted pumpkin (Telfairia occidentalis Hook. f) to levels and time of micro-dosing Urea fertilizer. The experiment was conducted in two growing seasons of late and early cropping seasons of 2017 and 2018 respectively at the Teaching and Research Farm of Obafemi Awolowo University. The experiment was a factorial laid out in a Randomized Complete Block Design (RCBD) with four replications involving seasons, levels of fertilizer (0, 20,... P.A. Amao, B. Amujoyegbe, D. Oyedele
3. Assessment of Nitrogen and Phosphorus Content (NP) in Citrus Trees Using UAV-imagery Derived Vegetation Indices and Machine Learning Algorithms Monitoring nutrient status of citrus trees is fundamental to ensure optimum fruit yield and quality. However, this task is traditionally time-consuming and laborious. Unmanned Aerial Vehicles (UAVs), with their high temporal and spatial resolution imagery, are demonstrating a great potential to substitute traditional methods in assessing nutrient status of several crops, including citrus. In this study, we evaluated the performance of vegetation indices (VIs) derived from UAV multispectral images... Z. Abail, H. Benaouda, M. Chikhaoui, H. Benyahia, O. Iben Halima, M. Baraka, A. Douaik, H. Iaaich, A. Zouahri, F. Omari
4. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear Regression Traditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index (NDVI)... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud
5. Delineation of Management Zones of Irrigation Schemes in Nigeria Based on Selected Soil Properties Effective field management is required to maximize economic returns and environmental control and soil and crop management. This study was conducted to delineate the management zones (MZ) of Oke-Oyi and Eiyenkorin Irrigation Schemes (EOIS) based on selected soil properties to aid efficient water and fertilizers use and enhance productivity. Soil samples were taken at goe-referenced grid-sampling points. Total soil samples collected for each location at 0 – 20 cm and 20 – 40 cm depths... A.A. Wahab, O.J. Olaniyan, E.H. Ahamefule Download paper

Filter results5 paper(s) found.

1. Determining Nutrients rates for Maize, Rice, Cotton, and Tomato in Dry Savannah zone of Togo based on site specific nutrient management approach

Inadequate fertilizer application limits crop yields and lead to the soil fertility depletion. This study aims at formulating nutrients rates recommendations for main the crops in dry savannah zone of Togo. Site specific nutrient management approach based on spatial variations in nutrients status, crops nutrients requirement and average crop yields under field conditions was used to determine recommendations rates in N, P and K. For maize cropping, nutrients needs are 94 kgN.ha-1, 42...

2. Fertilizer Micro-dosing on Growth and Vegetative Yield of Fluted Pumpkin (Telfairia occidentalis Hook. f)

The study evaluated growth and vegetative response of fluted pumpkin (Telfairia occidentalis Hook. f) to levels and time of micro-dosing Urea fertilizer. The experiment was conducted in two growing seasons of late and early cropping seasons of 2017 and 2018 respectively at the Teaching and Research Farm of Obafemi Awolowo University. The experiment was a factorial laid out in a Randomized Complete Block Design (RCBD) with four replications involving seasons, levels of fertilizer (0, 20,... P.A. Amao, B. Amujoyegbe, D. Oyedele

3. Assessment of Nitrogen and Phosphorus Content (NP) in Citrus Trees Using UAV-imagery Derived Vegetation Indices and Machine Learning Algorithms

Monitoring nutrient status of citrus trees is fundamental to ensure optimum fruit yield and quality. However, this task is traditionally time-consuming and laborious. Unmanned Aerial Vehicles (UAVs), with their high temporal and spatial resolution imagery, are demonstrating a great potential to substitute traditional methods in assessing nutrient status of several crops, including citrus. In this study, we evaluated the performance of vegetation indices (VIs) derived from UAV multispectral images... Z. Abail, H. Benaouda, M. Chikhaoui, H. Benyahia, O. Iben Halima, M. Baraka, A. Douaik, H. Iaaich, A. Zouahri, F. Omari

4. Potato Yield Prediction Using Multi-temporal Sentinel-2 Data and Multiple Linear Regression

Traditional potato growth models have a number of flaws, i.e., the cost of data collection, quality of input data, and the absence of spatial information in some cases. To address these challenges, we created a multiple linear regression model (MLRM) that uses the multi-temporal Sentinel-2 derived indices to predict potato yield. Along the growing season (from October 2019 to February 2020) eight Sentinel-2 imageries were collected, afterwards, the normalized difference vegetation index (NDVI)... M.E. Amin, M.A. Abdelfattah, E.S. Mohamed, A.A. Belal, M. Nabil, A.G. Mahmoud

5. Delineation of Management Zones of Irrigation Schemes in Nigeria Based on Selected Soil Properties

Effective field management is required to maximize economic returns and environmental control and soil and crop management. This study was conducted to delineate the management zones (MZ) of Oke-Oyi and Eiyenkorin Irrigation Schemes (EOIS) based on selected soil properties to aid efficient water and fertilizers use and enhance productivity. Soil samples were taken at goe-referenced grid-sampling points. Total soil samples collected for each location at 0 – 20 cm and 20 – 40 cm depths... A.A. Wahab, O.J. Olaniyan, E.H. Ahamefule

Download paper