Datta, A and Cherwoo, L and Oo, H N and Prabhu, N and Kumar, Saurav and Sharma, Anupama and Bhondekar, A P (2024) Aquatic Weed Mining Using Artificial Intelligence. In: Artificial Intelligence and Society 5.0 Issues, Opportunities, and Challenges. Chapman and Hall/CRC, New York, pp. 246-266. ISBN 9781003397052
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Water hyacinth (Eichhornia crassipes) is regarded as one of the most invasive aquatic weeds because of its high proliferation rate, nutrient depletion capabilities from water bodies, heavy metal absorption, and high adaptability to new environments. A variety of management strategies have been employed for its control, all of which involve the removal of weeds and dumping in landfills, where it further releases toxins into the environment. At present all management and control strategies lack sustainable use of the weed and in turn harm the environment. Hence, better alternatives for control and management of this weed are needed. Water hyacinths are nutrient rich and a great source of biomass, which can be further converted to biofuel and bioenergy. Through biochemical, thermochemical, and physiochemical conversion of biomass from water hyacinth, a solution to a multi-level problem could be achieved. By employing new mining strategies, successful collection, treatment, and utilization of the said biomass are possible. This could mean a potential answer to the growing biomass and bioenergy demand, with sustainable and bioeconomic utilization of water hyacinth. To control the spreading of water hyacinth, the first step is to mine and monitor its growth. Managing and controlling this aquatic weed can help society create a bankable economic model for rural entrepreneurship and help small and medium enterprises (SMEs) with alternative bioresources for their respective products such as handicrafts items, fish feed, handmade paper, bio-compost, and disposable filters for heavy metal pollution in aquatic sources (like Ar, Pb, Zn, etc.). This study presents that aquatic weeds can be controlled and managed effectively with artificial intelligence (AI)-based technologies to achieve the goal of Society 5.0 to balance economic advancement with the resolution of social problems.
| Item Type: | Book Section |
|---|---|
| Divisions: | Global Research Program - Resilient Farm and Food Systems |
| CRP: | UNSPECIFIED |
| Uncontrolled Keywords: | artificial intelligence, aquatic weed mining |
| Subjects: | Others > Weed Science |
| Depositing User: | Mr Nagaraju T |
| Date Deposited: | 15 Sep 2025 07:16 |
| Last Modified: | 15 Sep 2025 07:16 |
| URI: | http://oar.icrisat.org/id/eprint/13326 |
| Acknowledgement: | UNSPECIFIED |
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