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Estimation of nitrogen content in cucumber plant (Cucumis sativus L.) leaves using hyperspectral imaging data with neural network and partial least squares regressions

Sajad Sabzi, Razieh Pourdarbani, Mohammad H. Rohban, Ginés García-Mateos, Juan  I. Arribas Abstract In recent years, farmers have often mistakenly resorted to overuse of chemical fertilizers to increase crop yield. However, excessive consumption of fertilizers might...

Potential of far ultraviolet (UV) 222 nm light for management of strawberry fungal pathogens

Wojciech Janisiewicz, Fumiomi Takeda, Breyn Evans, Mary Camp Abstract Recently developed, night-time irradiation provided the breakthrough that made ultraviolet (UV) technology with 254 nm (UV–C) commercially feasible as a sustainable alternative to synthetic...

Detection of necrotrophic DNA marker of anthracnose causing Colletotrichum gloeosporioides fungi in harvested produce using surface plasmon resonance

Aabha Bajaj, Anand M.Shrivastav, Evgeny Eltzov, Noam Alkan, Ibrahim Abdulhalim Abstract Agriculture and food crops monitoring is extremely important for securing the food supply chain to human society. Here, we developed a highly specific detection method for...

Achieving a robust Vis/NIR model for microbial contamination detection of Persian leek by spectral analysis based on genetic, iPLS algorithms and VIP scores

Sahar Rahi, Hossein Mobli, Bahareh Jamshidi, Aslan Azizi, Mohammad Sharifi Abstract Microbial contamination of vegetables is always known as a major food safety challenge. Persian leek is one of the most widely used herbs. Detection of Escherichia coli (E. coli ATCC...
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