Ayan, Aryan and Shesh, Ranjan and Sonu, Kumar and Soumalya, Sau and Amol, Prakash and Kamlesh, Lal (2024) Design, Fabrication and Monitoring of Automated Polyhouse. International Journal of Environment and Climate Change, 14 (5). pp. 418-423. ISSN 2581-8627
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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.
Item Type: | Article |
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Subjects: | Library Keep > Agricultural and Food Science |
Depositing User: | Unnamed user with email support@librarykeep.com |
Date Deposited: | 29 May 2024 08:28 |
Last Modified: | 30 May 2024 06:52 |
URI: | http://archive.jibiology.com/id/eprint/2441 |