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AfPCA Proceedings 2024

Proceedings

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Sharma, S
Shaibu, I
Safar, V
Saleh, A.M
Shaddad, S
Singh, V
Souissi, A
Samri, S
Söderström, M
Sbai, I
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Authors
AbdelRahman, M.A
Saleh, A.M
El Sharkawy, M.M
Farg, E
Arafat, S.M
Söderström, M
Piikki, K
Kihara, J
Mutua, J
Wetterlind, J
Charvat, K
Safar, V
Kubickova, H
Aberkani, K
Matese, A
Samri, S
Said, M
Di Gennaro, S
Toscano, P
Alshihabi, O
Nouiri, I
Mechri, M
Angar, H
Piikki, K
Martinsson, J
Söderström, M
Chivenge, P
Saito, K
Bunquin, M
Sharma, S
Dobermann, A
Hachana, A
Hemissi, I
Achour, I
Souissi, A
Sifi, B
Aboelkhier, H
Nasrallah, A
Shaddad, S
Buttafuoco, G
Singh, V
Söderström, M
Persson, K
Agbemabiese, Y.K
Abubakari, P
Dzomeku, P.K
Shaibu, I
Sbai, I
SEHBAOUI, F
Hmimou, M
Topics
Mapping and Geostatistics
Precision Nutrient Management
Satellite Imagery
Decision Support Systems
Proximal and Remote Sensing
Precision Water Management
Precision Nutrient Management
Type
Oral
Poster
Year
2020
2022
2024
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Authors

Filter results12 paper(s) found.

1. Spatial Interpolation for Mapping Hydraulic Soil Properties in GIS Environment

Soil water information is an essential input for environmental, hydrological or land surface models. There is a need for reliable soil water information with current coverage in the area. A number of 60 soil profiles data were evaluated for the performance of estimates inverse distance weighting to map some of the soil quality properties. soil profiles were used for the application of geostatistics. Maps with the investigated coverage were produced with the soil information available about soil... M.A. Abdelrahman, A.M. Saleh, M.M. El sharkawy, E. Farg, S.M. Arafat

2. Mapping spatial variability of soil nutrient deficiencies in smallholder villages – a prerequisite for improved crop production in Africa

Smallholder farming is the dominating type of agricultural production in many parts of Africa. If cultivation practices can be adapted to match the specific needs of individual smallholder plots, this can certainly be regarded as a form of precision agriculture (PA), considering their limited size. A fundamental prerequisite for successful application of PA is the availability of basic information on soil properties at a detailed enough level. To fill yield gaps, site specific information must... M. Söderström, K. Piikki, J. Kihara, J. Mutua, J. Wetterlind

3. The Vision of Future Earth Observation for Agriculture

The main objective of EO4AGRI is to catalyze the evolution of the European capacity for improving operational agriculture monitoring from local to global levels based on information derived from Copernicus satellite observation data and through exploitation of associated geospatial and socio-economic information services. EO4AGRI assists the implementation of the EU Common Agricultural Policy (CAP) with special attention to the CAP2020 reform, to requirements of Paying Agencies, and... K. Charvat, V. Safar, H. Kubickova

4. Orchard Yield Assessment in North-East of Morocco using Satellite Imagery

Agricultural sector represents one of the pillars of the Moroccan economy. The Green Morocco Plan (GMP) established in 2008 present the main engine of development of this sector and for local economy. One of the objectives of Pillar I and Pillar II of GMP was to maximize production with less use of water resources. As an effect of climate change, Morocco is experiencing a strong variability in spatial and temporal variability of precipitation with a detrimental effect on yield and quality of crop... K. Aberkani, A. Matese, S. Samri, M. Said, S. Di gennaro, P. Toscano

5. CropSAT – opportunities for applications in precision agriculture in Africa

The present paper aims at describing the CropSAT system, a Sentinel-2-based interactive decision support system (DSS) that provides vegetation index (VI) maps free-of-charge all across the globe for different applications in precision agriculture. We summarize research results from the ongoing developmental process and pointing to opportunities for development and application in precision agriculture in Africa. The DSS was initially developed in a research project at the Swedish University of... O. Alshihabi, I. Nouiri, M. Mechri, H. Angar, K. Piikki, J. Martinsson, M. Söderström

6. Nutrient management tailored to smallholder agriculture enhances productivity and sustainability

Plant nutrition plays a central role in the global challenge to produce sufficient and nutritious food, lessen rural poverty, and reduce the environmental footprint of crop production. Efficient fertilizer use requires tailored solutions that are scientifically sound, practical and scalable especially for smallholder farmers, such as the crop-led site-specific nutrient management (SSNM) approach developed in the 1990s for cereal production systems in Asia to address variability among farms. Originating... P. Chivenge, K. Saito, M. Bunquin, S. Sharma, A. Dobermann

7. Some essential nutrients, active limestone and pH status of north and center Tunisian soils.

     Tunisia is a North African country characterized by a Mediterranean climate in the north and Saharan climate in the south part of the country, which resulted in a high geo-morphological diversity of its soils. The last are known by their various fertility status that is affected by abiotic constrains such as salinity, drought, erosion and low organic matter concentration. Thereby, soil fertility is largely linked to geographical position, making fertilization recommendation... A. Hachana, I. Hemissi, I. Achour, A. Souissi, B. Sifi

8. A geostatistical approach to define a soil fertility index based on the main soil macronutrients

Soil fertility is greatly affected by main soil macronutrients such as nitrogen (N), phosphorus (P), and potassium (K). These macronutrients can be used to define a synthetic fertility index to support soil fertilization. The study was aimed to propose a geostatistical approach to define a synthetic fertility index based on factorial cokriging. It consists in quantifying and reducing the spatial variability of multivariate data to only a few factors, related to different spatial scales. Such factors... H. Aboelkhier, A. Nasrallah, S. Shaddad, G. Buttafuoco

9. Precision Nitrogen Management in Maize Using an Optical Sensor in the Indo-Gangetic Plains

Blanket fertilizer nitrogen (N) for large irrigated maize field lead to low N use efficiency (NUE) due to spatial and in season temporal variability. In order to achieve higher NUE, a fertilizer N management strategy using GreenSeekerTMoptical sensor was evaluated.  GreenSeekerTM uses visible and near-infrared spectral response from crop canopies. We conducted 03 field experiments during 2012-14 in monsoon season maize to define relationship and develop algorithm between in season... V. Singh

10. From Drone to Satellite – Does It Work?

Multispectral drone-sensors are useful for detailed studies of crop characteristics in field trials, e.g. to create prediction models on nitrogen (N) uptake, or even estimates of optimal N rate to apply. To enable wide application of such models, they may be applied in satellite image-based decision support systems for farmers. However, successful transfer of models based on spectral data from one platform to another, requires strong and stable correlation between data from the different sensors.... M. Söderström, K. Persson

11. Modelling Fertigation and Micro-Climate Parameters for Greenhouse Tomato (Solanum Lycopersicum L.)

Amidst the hiking price of fertilizer and projected water scarcity across the world, it is imperative to explore the interaction between fertilizer, irrigation and genotype notwithstanding the micro-climate parameters so as to maximize yield while protecting the environment. The Decision Support System for Agrotechnology Transfer (DSSAT) is a model which employs all these input factors to help predict yield and thereby make an informed decision.  The study sort to calibrate and validate the... Y.K. Agbemabiese, P. Abubakari, P.K. Dzomeku, I. Shaibu

12. Use of “FertiEdge” Application for Optimizing Wheat Fertilization

Wheat is a crop of global importance, and effective fertilization is crucial to maximize yield and quality. Traditional methods of fertilization often result in under- or over-application of nutrients, resulting in environmental problems and suboptimal crop yields. FertiEdge is a digital application that provides accurate fertilization recommendations based on real-time data, it’s an innovative tool designed to enhance the efficiency of wheat fertilization. This study evaluates its impact... I. Sbai, F. Sehbaoui, M. Hmimou