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AfPCA Proceedings 2024

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Abou-Zeid , S
AYERDI-GOTOR, A
Biswas, A
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Authors
Biswas, A
Fu, Y
Taneja, P
Lin, S
Daggupati, P
Vasava, H
Gobezie, T.B
Biswas, A
Soaud, A
Abou-Zeid , S
Ali, A
Hassan, D
LEBRINI, Y
AYERDI-GOTOR, A
Topics
Proximal and Remote Sensing
Policy Support Innovations
Precision Nutrient Management
Proximal and Remote Sensing
Type
Oral
Year
2020
2022
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Filter results4 paper(s) found.

1. 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

2. Just a moment; the need for streamlining precision agriculture data in Africa

Precision agriculture (PA) data sources in the era of digital agriculture are diverse in terms of the range of technology options and the types of data they generate. These include proximal sensors, unmanned aerial vehicle (UAV), satellites, farm machinery mounted sensors and robotics to generate static data or real time information (e.g., yield monitoring). Government institutions, scientists and private sectors take the lion’s share in generating PA data at innovation, validation and dissemination... T.B. Gobezie, A. Biswas

3. Chlorophyll Meter Based Precision Nitrogen Management in Maize Grown in Alluvial Soil in Egypt

Precision nitrogen (N) management is essential for profitable crop production and to minimize N losses to the environment that are a consequence of an excessive N supply. Chlorophyll meter-based N management can help to achieve high N use efficiency, as aquick and non-destructive spectral characteristics of leaves, which can be used to diagnose plant N deficiency and graduate N fertilization with improve N use efficiency. Field experiments were conducted during two consecutive years, 2019 and... A. Soaud, S. Abou-zeid , A. Ali, D. Hassan

4. Performance of Remote Sensing Data and Machine Learning for Wheat Disease Detection

The use of agrochemicals has many impacts on humans’ health and generates many environmental issues. However, a suitable management of agrochemicals inputs, such as insecticides, fungicides, and herbicides, is crucial to the success of wheat crops under climate change conditions. The use of remote sensing technologies in agriculture was raised within the technological evolution of materials and techniques during last decades. The development of new and cheap sensors has been the main reason... Y. Lebrini, A. Ayerdi-gotor