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Smart-Hydroponic-Based Framework for Saffron Cultivation: A Precision Smart Agriculture Perspective

doi: 10.3390/su14031120
Saffron, one of the most expensive crops on earth, having a vast domain of applications, has the potential to boost the economy of India. The cultivation of saffron has been immensely affected in the past few years due to the changing climate. Despite the use of different artificial methods for cultivation, hydroponic approaches using the IoT prove to give the best results. The presented study consists of potential artificial approaches used for cultivation and the selection of hydroponics as the best approach out of these based on different parameters. This paper also provides a comparative analysis of six present hydroponic approaches. The research work on different factors of saffron, such as the parameters responsible for growth, reasons for the decline in growth, and different agronomical variables, has been shown graphically. A smart hydroponic system for saffron cultivation has been proposed using the NFT (nutrient film technique) and renewable sources of energy.
- Chitkara University India
- University of Malaya Malaysia
- Chitkara University India
- Universidad de Ingeniería y Tecnología Peru
- University of Malaya Malaysia
IoT, Environmental effects of industries and plants, saffron, TJ807-830, hydroponics, IoT; saffron; NFT; hydroponics; WSN, TD194-195, WSN, Renewable energy sources, Environmental sciences, NFT, GE1-350
IoT, Environmental effects of industries and plants, saffron, TJ807-830, hydroponics, IoT; saffron; NFT; hydroponics; WSN, TD194-195, WSN, Renewable energy sources, Environmental sciences, NFT, GE1-350
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).37 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
