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AfPCA Proceedings 2024

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Kamutando, C.N
Soaud, A.A
Koné, S
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.A
El-Metwally , E.A
Ali, A.M
Sayed, R.K
Koné, S
Chinwa, H
Kamutando, C.N
Topics
Proximal and Remote Sensing
Policy Support Innovations
Precision Nutrient Management
Mapping and Geostatistics
Climate Smart Agriculture
Type
Oral
Year
2020
2024
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Authors

Filter results5 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. IMPACT OF SENSOR-BASED PRECISION NITROGEN MANAGEMENT ON WHEAT YIELD AND NITROGEN USE EFFICIENCY

Optical sensors are promising new technology for precision nitrogen management in crops. Fertilizer N management for wheat (Cultivar: Giza 171) using optical sensor (GreenSeeker®) was evaluated at the Experimental Farm of Faculty of Agriculture, Cairo University, Giza Governorate, Egypt. The experiment was laid out in randomized block design with three replications during two successive winter seasons (2017/2018 and 2018/2019) to quantify the relationship between N uptake at jointing growth... A.A. Soaud, E.A. El-metwally , A.M. Ali, R.K. Sayed

4. Cartographie interactive des exploitations de noix de cajou des producteurs de la coopérative COPRODIGO de Gohitafla

L’agriculture a connu de profondes mutations : la spécialisation, la réduction de la main d’œuvre agricole, la mécanisation croissante. Ces dernière années, l'intégration des technologies de l'information et de la communication dans la gestion des exploitations agricoles a donné naissance à l'agriculture de précision. Ces innovations technologiques permettent de piloter et d’optimiser les principales... S. Koné

5. Predicting the Distribution of Groundnut Phytopathogens Under Current and Future Climatic Scenarios in Zimbabwe

Groundnut (Arachis hypogaea L.) is an important oil crop with immense nutritional and economic benefits, but its productivity in sub-Saharan Africa (SSA) is threatened by a plethora of phytopathogens such as groundnut rosette virus, Alternaria leafspots, early leafspots and peanut rust. In Zimbabwe, ecological niches and epidemiology of these pathogenic microbial strains, particularly under the current and predicted climate change scenarios, are still poorly understood. Yet, this information... H. Chinwa, C.N. Kamutando