IDENTIFICATION OF TEA ROOT ROTS DISEASE THROUGH IMAGE RECOGNIZATION IN CONVENTIONAL NEURAL NETWORK

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

IDENTIFICATION OF TEA ROOT ROTS DISEASE THROUGH IMAGE RECOGNIZATION IN CONVENTIONAL NEURAL NETWORK
Author(s):
SONAM RAM, Mrs. LALITA PANIKA
Keywords:
CNN,PYTHON,MEDICINAL,DISEASES,DEEP-STUDY,LED-CAMERA
Abstract
This paper proposes the identification and prevention of tea root rot diseases. Root rot is the leading diseases of the tea leaves occurs during its growth period when it is planted in overwatered or poorly drained soil. This usually occurs when soil is not properly aerated and soil remained wet for a long time. A survey is conducted to identify various tea leave diseases and found that wet and non aerated soil leads to poor absorption of oxygen in the soil, as oxygen starvation takes place it allows the root to die and decay. This paper proposes that still prevention can be done to save the plants and use it commercially without much loss.
Article Details
Unique Paper ID: 151678 Publication Volume & Issue: Volume 8, Issue 1 Page(s): 491 - 493
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