Smart Application to Screen, Alert and Suggest Remedies for Cotton Disease

Authors

  • Khushal Shah Singapore International School, Mumbai International Baccalaureate Diploma Program
  • Reetu Jain On My Own Technology Pvt Ltd, Mumbai, India

Keywords:

Convolutional Neural Networks, Smart Phone, Image processing, Machine Learning, Transfer Learning

Abstract

Cotton cultivation is very unpromising sometimes as the plants get diseased. The farmers with their naked eyes cannot differentiate between the cotton quality. When these diseased plants are sent for industrialization, the clothes made from these are hazardous for humans. India produces 26% of the cotton in the world, making it the lead producer. There are various factors that affect cotton, like high water consumption causing pollution, soil degradation, greenhouse gas emissions, use of harmful pesticides and fertilizers. Farmers in debt, when face with land clearing, soil erosion, loss of biodiversity resulting in low productivity, often commit suicide. To stop this sorrowful scenario from continuing, I along with my team came up with a deep learning project of reducing the amount of infected cotton being sent to be clothed.

References

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Published

2022-05-09

How to Cite

Khushal Shah, & Reetu Jain. (2022). Smart Application to Screen, Alert and Suggest Remedies for Cotton Disease . iJournals:International Journal of Software & Hardware Research in Engineering ISSN:2347-4890, 10(4). Retrieved from https://ijournals.in/journal/index.php/ijshre/article/view/108