2024, Vol. 4, Issue 1, Part C
Smart sericulture: Integrating automation, IoT (Internet of things), and AI (Artificial intelligence) for the next generation of silk farming
Author(s): Raksha Sharma CM, Anil Kumar U, Lavanya V, Pritish Chavan and Mahanth Kumar B
Abstract: "Smart Sericulture: Integrating Automation, IoT (Internet of Things), and AI (Artificial Intelligence) for the Next Generation of Silk Farming" suggests a forward-thinking approach to modernizing and improving the silk farming process. Smart Sericulture refers to the use of advanced technologies to enhance traditional silk farming practices, making them more efficient, sustainable, and productive. "Smart" implies integrating digital and automated systems to optimize various aspects of silk production, from mulberry cultivation to cocoon harvesting. Automation in sericulture could be applied to various farming activities, such as feeding silkworms, temperature control in silkworm rearing houses, or even harvesting the cocoons. Using automated systems could significantly reduce the manual labor required, minimize human error, and improve the consistency and quality of silk production. IoT (Internet of Things) could be leveraged in sericulture to create an interconnected system of devices that monitor and control critical environmental factors like temperature, humidity, and air quality. Sensors could collect real-time data on the health of the silkworms, soil conditions for mulberry trees, or the progression of cocoon development. This data can be used to make informed decisions and predict the best times for harvesting. IoT devices could also enable remote monitoring, allowing farmers to check on their crops and livestock from anywhere. AI (Artificial Intelligence) could be used to analyze data collected by IoT sensors, enabling predictive models that forecast potential issues such as disease outbreaks or suboptimal environmental conditions. AI algorithms can help optimize resource usage, improving yield and efficiency by identifying patterns in environmental data or silkworm behavior. Machine learning can also be applied to predict the growth cycle of silkworms, allowing for better planning and management of resources.
Pages: 238-248 | Views: 88 | Downloads: 54Download Full Article: Click Here
How to cite this article:
Raksha Sharma CM, Anil Kumar U, Lavanya V, Pritish Chavan, Mahanth Kumar B. Smart sericulture: Integrating automation, IoT (Internet of things), and AI (Artificial intelligence) for the next generation of silk farming. South Asian J Agric Sci 2024;4(1):238-248.