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Abstract

Most of the developing countries economy largely depends on the agriculture. More than half of the population rely on agriculture related activities for their survival. In spite of dependency on agriculture, the technological development of agricultural work in developing country is not comparable to the countries like Australia or Israel. The main reason behind the lack of development is the small size of farms. Such farmers cannot afford expensive technology available in the market due to limited profit margins. The report describes an autonomous fertilization system that takes care of the fertilization requirements of the small scale farms at affordable rates. The system is divided in two parts namely User Interface and Control System. The user interface is designed using the state of the art Raspberry Pi board and a touch screen LCD. The control system is developed using the Arduino platform and can control five fertilizers at a time. The output of the system is the mix of the fertilizer, which is forced into the drip irrigation system of the farm. The system has built in data for the fertilization requirement for important crops and vegetation. The system also facilitates the customize fertilization requirements to be added in the system as per the user requirements.

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Authors and Affiliations

Vijay Savani
Akash Mecwan
Jayesh Patel
Piyush Bhatasana
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Abstract

Modern control and measurement systems are equipped with interfaces to operate in local area networks and are typically intended to perform complicated data processing and control algorithms. The authors propose a digital system for rapid prototyping of target application devices. The concept solution separates the processing and control section from the hardware interface and user interface section. Both sections constitute independent ARM-based controllers interconnected via a direct USB link. Popular libraries can be used and low-level procedures developed, which enhances the system’s economic viability. A test unit developed for the purpose of the study was built around a SoC ARM7 microsystem and an off-the-shelf palmtop device. It demonstrated a continuous data stream transfer capability up to 150 kB per second, which was sufficient to monitor the performance of an electricity line.

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Authors and Affiliations

Jacek Augustyn
Andrzej Bień

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