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- W4200495625 abstract "Increase in the population has led to an increase in the demand commencing from the food industry eventually to the farmers to produce more quantities of food. To address this issue and help farmers to automate some of their effort involved, we have proposed an Artificial Intelligence Operation Model for poly house farming. This includes an autonomous vehicle to navigate through the poly house capable to execute multiple tasks such as harvesting, weed removal, etc. following the Global Positioning System route and an AI Imaging Model. The vehicle capable of moving forward, rotating, consists of a Global positioning system sensor, a magnetometer, a motor driver, and DC motors. The imaging model uses Convolutional neural network classifier and cost analysis is performed with various layers and a case study is proposed. The model trained with 5 layers for different parameters considered are tabulated and analyzed." @default.
- W4200495625 created "2021-12-31" @default.
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- W4200495625 date "2021-10-24" @default.
- W4200495625 modified "2023-10-18" @default.
- W4200495625 title "A Polyhouse: Autonomous Navigation Using IOT Technologies & CNN" @default.
- W4200495625 doi "https://doi.org/10.1109/mysurucon52639.2021.9641668" @default.
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