Leaf disease detection & Soil Nutrients Deficiency recognition system.

Leaf disease detection & Soil Nutrients Deficiency recognition system.
Author(s):
Harisha S B, Surya V Bhat, Sumedha S Hegde, Deeksha A S, Suhas D R
Keywords:
Arduino, PH sensor, moisture sensors, temperature and humidity sensor, GSM module
Abstract
A Plant diseases and soil nutrient deficiencies are major issues affecting the productivity and yield of crops. The early detection of these problems can help farmers take necessary measures to prevent further damage. This paper proposes a system for plant disease detection and soil nutrient deficiency recognition using VGG19, Python IDLE, Arduino Uno, temperature sensor, pH sensor, soil moisture sensor, and a GSM module for real-time information recording and transmission. The proposed system uses machine learning algorithms to analyze images of plants and provide early warning signals for diseases, and it also monitors soil conditions to detect nutrient deficiencies. The proposed system provides a cost-effective and efficient solution for farmers to enhance crop yields and productivity.
Article Details
Unique Paper ID: 160043 Publication Volume & Issue: Volume 9, Issue 12 Page(s): 901 - 907
Article Preview & Download

Share This Article

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org