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MENSAH , A

Mohamed, E.S

Metwaly, M.M

Masvaya, E

Muyonga, J

MAZINAGOU, M

Majozi, N

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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

Masvaya, E

Abdellatif, B

Metwalli, M.R

Metwaly, M.M

AbdelRahman, M.A

Amin, M.E

Abdelfattah, M.A

Mohamed, E.S

Belal, A.A

Nabil, M

Mahmoud, A.G

N'GBENDEMA, A

SOGBEDJI, M.J

MAZINAGOU, M

Majozi, N

Wanyama , J

Ikabat, J

Kabenge, I

Hess, P

Nakawuka, P

Bwambale , E

Muyonga, J

Felicioni, S

Bühlmann, A

Anken, T

Topics

Precision Nutrient Management

Climate Smart Agriculture

Precision Planting/Harvesting

Precision Nutrient Management

Proximal and Remote Sensing

Water Management for Precision Agriculture

Type

Oral

Poster

Year

2020

2022

2024

Home » Authors » Results

Authors

Filter results7 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. Machine learning algorithms in predicting soil moisture content in intercropping systems under reduced tillage in a clay soil in semi-arid Zimbabwe Integration of legumes into maize-based cropping systems is advocated as a means to increase on-farm productivity in smallholder farming systems. However, in semi-arid areas of southern Zimbabwe soil water availability remains one of the major challenges to smallholder crop production. Although bio-physical models have been used in simulating soil water dynamics, results have been varied and incorporating machine learning (ML) algorithms can complement deterministic modelling tools in predicting... E. Masvaya
3. A Time Series Investigation to Assess Climate Change and Anthropogenic Impacts on the Degradation of Nile Delta, Egypt. Land degradation risk, status and rate in Nile Delta, Egypt were assessed for a time series using remote sensing data over the past five decades using TM, ETM and OLI. Quantitative deterioration of the area was produced based on the comparative study approach in the integrated weighted sum, weighted overlay and fuzzy model. Where degradation factors were compiled in a raster and each data set scored on a 1 to 5 (very low, low, moderate, high and very high scale). The data sets were then weighted... B. Abdellatif, M.R. Metwalli, M.M. Metwaly, M.A. Abdelrahman
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. Rice Production System and Major Nutrients Balance Assessment in Rice Cropping in the Irrigated Perimeter of the Zio Valley Knowledge of cropping systems and farming practices are essential towards improving crop yields. This study aims to characterize rice production systems, analyse fertilization practices and assess the impact of irrigated rice on the balance of major nutrients in Zio valley. The characterization of production systems and fertilization practices were carried out through a survey of a sample of 192 randomly selected producers, i.e. 34% of the total number of farmers in the four (4) villages of the... A. N'gbendema, M.J. Sogbedji, M. Mazinagou Download paper
6. Application of Remote Sensing Technologies for Monitoring within Field Soil and Crop Growth Variability ... N. Majozi
7. Design and Development of a LoRa Communication System for Scalable Smart Irrigation Systems Smart irrigation is a promising tool to optimize irrigation water use but is still faced with challenges related to usability and applicability attributed to several constraints such as high initial costs, complex user interface, poor connectivity, limited farm coverage, etc. This study aimed to solve some of these issues through the development and testing of a LoRa communication system using a Raspberry Pi 4, LoRa HAT concentrator, and Strega smart valve at the Makerere University Agricultural... J. Wanyama , J. Ikabat, I. Kabenge, P. Hess, P. Nakawuka, E. Bwambale , J. Muyonga, S. Felicioni, A. Bühlmann, T. Anken Download paper

Filter results7 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. Machine learning algorithms in predicting soil moisture content in intercropping systems under reduced tillage in a clay soil in semi-arid Zimbabwe

Integration of legumes into maize-based cropping systems is advocated as a means to increase on-farm productivity in smallholder farming systems. However, in semi-arid areas of southern Zimbabwe soil water availability remains one of the major challenges to smallholder crop production. Although bio-physical models have been used in simulating soil water dynamics, results have been varied and incorporating machine learning (ML) algorithms can complement deterministic modelling tools in predicting... E. Masvaya

3. A Time Series Investigation to Assess Climate Change and Anthropogenic Impacts on the Degradation of Nile Delta, Egypt.

Land degradation risk, status and rate in Nile Delta, Egypt were assessed for a time series using remote sensing data over the past five decades using TM, ETM and OLI. Quantitative deterioration of the area was produced based on the comparative study approach in the integrated weighted sum, weighted overlay and fuzzy model. Where degradation factors were compiled in a raster and each data set scored on a 1 to 5 (very low, low, moderate, high and very high scale). The data sets were then weighted... B. Abdellatif, M.R. Metwalli, M.M. Metwaly, M.A. Abdelrahman

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. Rice Production System and Major Nutrients Balance Assessment in Rice Cropping in the Irrigated Perimeter of the Zio Valley

Knowledge of cropping systems and farming practices are essential towards improving crop yields. This study aims to characterize rice production systems, analyse fertilization practices and assess the impact of irrigated rice on the balance of major nutrients in Zio valley. The characterization of production systems and fertilization practices were carried out through a survey of a sample of 192 randomly selected producers, i.e. 34% of the total number of farmers in the four (4) villages of the... A. N'gbendema, M.J. Sogbedji, M. Mazinagou

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6. Application of Remote Sensing Technologies for Monitoring within Field Soil and Crop Growth Variability

... N. Majozi

7. Design and Development of a LoRa Communication System for Scalable Smart Irrigation Systems

Smart irrigation is a promising tool to optimize irrigation water use but is still faced with challenges related to usability and applicability attributed to several constraints such as high initial costs, complex user interface, poor connectivity, limited farm coverage, etc. This study aimed to solve some of these issues through the development and testing of a LoRa communication system using a Raspberry Pi 4, LoRa HAT concentrator, and Strega smart valve at the Makerere University Agricultural... J. Wanyama , J. Ikabat, I. Kabenge, P. Hess, P. Nakawuka, E. Bwambale , J. Muyonga, S. Felicioni, A. Bühlmann, T. Anken

Download paper