Applications of Artificial Intelligence in Sericulture
Rubi Sut
*
Department of Sericulture, Assam Agricultural University (AAU), Jorhat, Assam, India.
Bidisha Kashyap
Department of Sericulture, Assam Agricultural University (AAU), Jorhat, Assam, India.
Toko Naan
Division of Sericulture, Sher-e-Kashmir University of Agricultural Science and Technology, Jammu, India.
*Author to whom correspondence should be addressed.
Abstract
The Sericulture industry is one of the major cottage industries producing higher income with lower input. The industry requires critical inputs like quality seed, quality feed, skilled labour with optimum environmental conditions for smooth running and higher production. Most of these input processes involve only manual assesment of phenotypic traits and are human-centric. In the current environment, producing high-quality silk is crucial to reaching sustainability by 2030. The identification of the barriers preventing the increase of silkworm production is limited by the traditional technique. With the development of artificial intelligence, it is providing many benefits to sectors like sericulture where expert systems are being used to solve many problems like disease and pest, gender classification, changing environmental conditions in both host plant as well as silkworm. For the sericulture industry to thrive amidst a changing world, it must keep pace with evolving challenges. This necessitates emphasizing the integration of intelligent tools. There are various advanced tools like Artificial Intelligence, advanced mechanisations etc. and their use is limited to some extent. As the use of AI is gaining momentum, the sericulture industry is also bound to use them to some extent even though they are not very much popular. This article underscores the importance of leveraging technology for a prosperous future and economy.
Keywords: Artificial Intelligence, voice recognition, image processing, sericulture, pest and disease, gender classification, host plant