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2019 | OriginalPaper | Buchkapitel

Design and Evaluation of Soil pH IoT Sensor Attribute for Rice Agriculture in Central Africa

verfasst von : Symphorien Karl Yoki Donzia, Hyun Yeo, Haeng-Kon Kim

Erschienen in: Applied Computing and Information Technology

Verlag: Springer International Publishing

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Abstract

The IoT platform is a crucial middleware that allows us to walk safely in the field of IoT agriculture. The Rice Intensification System (SRI) uses less water and improves rice yield through the synergy of several agronomic management practices around the world. Rice is a staple crop for many countries and is one of the three main food crops in Central Africa. Environmental stresses such as drought, salinity, disease, acidity and iron toxicity can limit growth and performance. In Central Africa, rice is grown mainly in the lowlands. Africa consumes 11.5 million tons of rice per year, of which 33.6% is imported. Import trends showed only a slight decrease of 55 000 tones, while rice production increased by 2.3 million tones. And Central Africa’s average self-sufficiency reached 37.9%. This is new way of more production in agriculture sector for saving a life have to be researched. The most natural one being the use of different machine in farm by connecting different sensors, connected devices, developing intelligent breeding systems as much as possible. In the paper, an architecture based on IoT agriculture is proposed after analyzing of soil organic. This work includes the expansion of rice management scales, including human resources, water and agricultural land; response strategies to irrigation during the drought; and the application of several agricultural water resources. Finally, it presents a architecture for IoT agriculture services based on cloud sensor infrastructure. Our results show that rice should be planted in lowland rice production systems in Central Africa.

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Metadaten
Titel
Design and Evaluation of Soil pH IoT Sensor Attribute for Rice Agriculture in Central Africa
verfasst von
Symphorien Karl Yoki Donzia
Hyun Yeo
Haeng-Kon Kim
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-98370-7_4