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AfPCA Proceedings 2024

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Lin, S
Mahyou, H
Bakirdjian, E
SOUISSI, A
Gerrard, B
Shumba, A
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Authors
Bakirdjian, E
Harigaya, T
Osia, M
Zhu, J
Abuli, J
Biswas, A
Fu, Y
Taneja, P
Lin, S
Daggupati, P
Vasava, H
BARBOUCHI, M
BAHRI, H
SOUISSI, A
CHEIKH M'HAMED, H
ANNABI, M
Mahyou, H
Balaghi, R
Shumba, A
Gerrard, B
Ben-Dor, E
Bayad, M
Topics
Precision Agriculture for Small Holders
Proximal and Remote Sensing
Mapping and Geostatistics
Decision Support Systems
Remote and Proximal Sensing
Type
Oral
Year
2020
2024
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Filter results6 paper(s) found.

1. Digital platforms for boosting farmer knowledge: Two case studies in Kenya and Uganda

Approximately 80% of all farms in Africa, or 33 million farms, are two hectares or less in size. Many of these smallholder farmers do not have access to resources, including extension services, to improve their farms. Lack of knowledge of Good Agronomic Practices (GAPs) causes farmers to fail to reach their full yield potential. Extension workers responsible to provide these GAPs to farmers are spread thin. For example, as of March of 2019, there was one extension worker for every 1,800 coffee... E. Bakirdjian, T. Harigaya, M. Osia, J. Zhu, J. Abuli

2. Estimating soil organic carbon from cell phone images

Soil organic matter (SOM) is considered as the backbone of soil health and soil quality. Thus, its’ estimation is critical to support the development of management decision including precision agriculture. To overcome challenges of laborious, rather expensive and time-consuming laboratory measurements, recent advances in image acquisition systems provided a new dimension of image-based SOM prediction. However, challenges remain in using soil images taken directly in the field due to variable... A. Biswas, Y. Fu, P. Taneja, S. Lin, P. Daggupati, H. Vasava

3. Soil organic carbon mapping in Tunisia: comparison of different interpolation methods

Soil organic carbon (SOC) stock is an important carbon pool in terrestrial ecosystems. It plays an important role in agricultural productivity and is often used as a key indicator of soil quality whether for soil fertility or climate regulation. SOC stocks are difficult to estimate due to the large spatial variability. In this way, many different techniques have been conducted for predicting and mapping SOC content. However, although numerous techniques are in use, there is still debate on which... M. Barbouchi, H. Bahri, A. Souissi, H. Cheikh m'hamed, M. Annabi

4. Crop monitoring and forecasting system based on cloud data and capabilities

Various systems for crop monitoring & forecasting, using satellite images and meteorological data, exist around the world. Their complexity differs from one system to another, according to the temporal and spatial scale and according to the objectives assigned to them. Among the well known are the European Monitoring Agricultural ResourceS system, the USDA system of the Foreign Agricultural Service, the Moroccan CGMS system, the Belgian CGMS system and the Chinese CropWatch system.  The...

5. Does the combination of conservation agriculture and fertilizer microdosing improve soil chemical properties in semi-arid Zimbabwe in the short term?

Crop yields in the fragile semi-arid areas of Zimbabwe have been declining over time due to decline in soil fertility resulting mainly from droughts and lack of fertilizers. However, conservation agriculture (CA) and fertilizer micro-dosing (MD) have the potential to sustainably improve crop yields. A field experiment was set-up to assess the effects of integrating CA and MD on soil quality. It was hypothesized that the two practices improve soil chemical properties (soil organic carbon (SOC),... A. Shumba

6. High Resolution Mapping of Long-Term Soil Organic Carbon Stocks and Changes in Morocco

Soil organic carbon (SOC) as a major part of the soil organic matter (SOM) is important for soil productivity  stability and climate change mitigation. Current regional SOC maps are not detailed enough and thus, do not support decision-making at farm and landscape and do not track carbon long-term changes. Using large soil dataset, multispectral satellite data, climate data and machine learning , we created a high-resolution  topsoil (0-30cm) map of Morocco and estimated the... B. Gerrard, E. Ben-dor, M. Bayad