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Modeling Plant Health Monitoring Solutions for Farmers and Gardeners

Publication Type : Conference Paper

Publisher : IEEE

Url : https://doi.org/10.1109/ICECA63461.2024.10800994

Keywords : Accuracy;Plants (biology);Memory management;Automata;Crops;Production;Agriculture;Finite element analysis;Reliability;Monitoring;Plant Health Monitoring;Automata Theory;nondeterministic finite automaton (NFA);Pushdown Automaton (PDA);Agriculture

Campus : Bengaluru

School : School of Computing

Department : Computer Science and Engineering

Year : 2024

Abstract : Monitoring plant health is crucial for ensuring optimal growth and preventing diseases. An accurate and reliable monitoring system plays a vital role in modern agriculture and enables farmers to make the right decisions and improve crop production. The project aims to build an understanding of how plants grow and stay healthy. The non-deterministic Finite automata (NFA) is used to represent the different health stages of the plant, like whether it is healthy or unhealthy. At first, the NFA is made with all the relevant transitions, then the limitations of this approach are discussed, and then opt for a better alternative like a Pushdown Automata (PDA), which could handle more complex situations in a better manner. Overall, the aim is to improve the understanding of plant health and help farmers and gardeners take better care of their plants.

Cite this Research Publication : A V S S Sampath, G Meher Pranav, Saurabh Kiran Mahuli, V Kanapathi, D Radha, Modeling Plant Health Monitoring Solutions for Farmers and Gardeners, [source], IEEE, 2024, https://doi.org/10.1109/ICECA63461.2024.10800994

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