@article{3441,
author = "Gaurav Thakur and Pradeep Chouksey and Mayank Chopra",
abstract = "As technology is evolving exponentially every day, there has been very drastic changes in the art of farming and agricultural activities. To develop off season crops and to increase crop production, a smart concept of polyhouse is already being used by many farmers worldwide. The proposed research is an attempt to reduce the efforts, maintenance and workload of a farmer in a polyhouse environment using AI based frameworks. This paper will provide a framework to automate mostly all the processes used in a polyhouse. An AI based model will be created for an automated system which will automatically monitor and control all the environmental factors of the polyhouse. The tasks which will be automated are temperature, soil, humidity, pH and the main goal will be the detection of unhealthy and diseased plants using image processing and artificial intelligence. The main aim of this research will be a model to detect accurate diseases in plants inside a polyhouse. The prediction of diseases in crops inside the polyhouse will be carried out using the concepts of Artificial Intelligence.",
issn = "23191473",
journal = "IJAIR",
keywords = "YOLO;CNN;ANN;DHT11;Yield;Smart Agriculture",
month = "May",
number = "6",
pages = "124-129",
title = "{YOLO} {P}-{H}ouse: {A}n {AI} {B}ased {P}olyhouse",
volume = "11",
year = "2023",
}