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

SONAM RAM; Mrs. LALITA PANIKA

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

Authors: SONAM RAM, Mrs. LALITA PANIKA

Unique Paper ID: 151678
Volume: 8
Issue: 1
PageNo: 491-493

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.

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ISSN: 2349-6002
Volume: 8
Issue: 1
PageNo: 491-493

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

Available:https://ijirt.org/Article?manuscript=151678

23 Dec, 2021

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

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8.01 (Year 2024)

UGC Approved
Journal no 47859

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