ARCHIVES

Research Article

Plant Disease Detection Using Machine Learning & Image Processing

Malathi T1 Muhammed Nayif M Navab Metha2 Nourin S3 Prince Sajuvin4 Jaison Mathew John5
1234 B. Tech in Computer Science and Engineering, St. Thomas College of Engineering & Technology, Chengannur, Kerala, India 5Assistant Professor, Department of Computer Science and Engineering, St. Thomas College of Engineering & Technology, Chengannur, Kerala, India.

Published Online: May-June 2024

Pages: 10-14

Abstract

Abstract: Most of individuals on earth make their living for the most part from horticultural work. Assuming there are any issues in that essential area, the populace's way of life will endure. Accordingly, it's vital for keep the agribusiness area in the right equilibrium by protecting something very similar from destructive impacts like plant sicknesses, dryness, and so on. In the rural area, ranchers get more cash-flow from cultivation than from different yields. These plants are helpless against numerous sicknesses rapidly, and early manual illness determination in crops is extremely difficult. stage. AI methods are utilized instead of manual illness distinguishing proof, which could prompt blunders. Picture.The impacted region of the picture is caught to finish the handling.

Related Articles

2024

Embedding Artificial Intelligence for Personal Voice Assistant Using NLP

2024

Analysis of Pedestrian Steel Bridge subjected the Seismic Load and Wind Load using Damper at different Span

2024

Review Paper on Comparison of Asymmetric and Symmetric RCC Building with Soil Structure Interaction by Dynamic Loading

2024

BLYNK RFID and Retinal Lock Access System

2024

ML-Driven Facial Synthesis from Spoken Words Using Conditional GANs

2024

Research on smart baby cradle using sensor technology

Share Article

X
LinkedIn
Facebook
WhatsApp

Or copy link

https://theijire.com/archives/10.59256/ijire.20240503003

*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.