Design, Fabrication and Monitoring of Automated Polyhouse
Aryan Ayan *
Vaugh Institute of Agricultural Engineering & Technology, Sam Higginbottom University of Agriculture Technology & Sciences, Prayagraj-211007, India.
Ranjan Shesh
Vaugh Institute of Agricultural Engineering & Technology, Sam Higginbottom University of Agriculture Technology & Sciences, Prayagraj-211007, India.
Kumar Sonu
Vaugh Institute of Agricultural Engineering & Technology, Sam Higginbottom University of Agriculture Technology & Sciences, Prayagraj-211007, India.
Sau Soumalya
Vaugh Institute of Agricultural Engineering & Technology, Sam Higginbottom University of Agriculture Technology & Sciences, Prayagraj-211007, India.
Prakash Amol
Department of Renewable Energy Engineering, Vaugh Institute of Agricultural Engineering & Technology, Sam Higginbottom University of Agriculture Technology & Sciences, Prayagraj-211007, India.
Lal Kamlesh
Department of Farm Machinery & Power Engineering, Vaugh Institute of Agricultural Engineering & Technology, Sam Higginbottom University of Agriculture Technology & Sciences, Prayagraj-211007, India.
*Author to whom correspondence should be addressed.
Abstract
The agriculture sector faces the challenge of feeding a growing population while dealing with the effects of climate change. With the limited expansion of cropland, agriculture automation has become necessary. Internet of Things (IoT) and Artificial Intelligence (AI) have made significant strides in various industries, including agriculture. These digital technologies offer smart systems that can monitor, control, and visualize farm operations in realtime, approaching human expertise. The potential applications of IoT and AI in agriculture include smart machinery, irrigation systems, pest control, crop monitoring, and more. Automated polyhouses equipped with IoT and AI components can optimize crop conditions, enhancing yield and quality while minimizing climate impacts. Over the past decade, research in this field has matured, transitioning from conceptual stages to implementation. The integration of AI and IoT into agriculture practices poses technical challenges, but understanding these technologies will facilitate their adoption and the development of IoT and AI-based solutions in farming.
Keywords: Polyhouse, agriculture, automation, internet of things, artificial intelligence