AUTOMATED NUTRIENT DEFICIENCY DETECTION IN PLANTS: A REVIEW

Authors

  • Gaganjot Kaur

Abstract

Indian economy is dependent on Agriculture, which includes growing certain plants for food
and numerous other wanted items as well as nurturing of domestic animals. Nutrients have a
significant job in crop production and farming. Harvest yields is decreasing continuously.
There are number of explanations behind this diminishing of harvest yield. Nutrient
deficiency is one such factor included. The proper and timely finding of nutrient insufficiency
and suitable fertilizer for that insufficiency are the serious issues looked by growers.
Subsequently, so as to improve productivity, a consistent checking framework for following
the nutrient status in plants is required for increasing the quality pf yield as well as
production. Different frameworks using digital image processing, computer vision, IOT are
used to analyze the deficiency side effects a lot sooner than natural eyes could perceive. This
empowers the farmers to implement remedial activity in time. This paper concentrates on the
review of different techniques for diagnosing nutrient deficiency in plants.

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Published

2020-12-01

How to Cite

Gaganjot Kaur. (2020). AUTOMATED NUTRIENT DEFICIENCY DETECTION IN PLANTS: A REVIEW. PalArch’s Journal of Archaeology of Egypt / Egyptology, 17(6), 5894 - 5901. Retrieved from http://mail.palarch.nl/index.php/jae/article/view/1865