IJSDR
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

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Paper Title: Prediction Of Pesticides And Quality Of Fruits Using Deep Learning
Authors Name: Gayatri Vilasrao Deshmukh , Tathe Simran Santosh , Temgire Sneha Sanjeev
Unique Id: IJSDR2305312
Published In: Volume 8 Issue 5, May-2023
Abstract: As we know that pesticides are very important in the production of fruits and also in agriculture. Fruits contains important vitamins and minerals. Having much amount of fruit can help protect you against heart diseases, cancer and Diabetes . But very dangerous pesticides go into the human body through fruits which are very harmful to humans. So advantageous solution is needed to detect the health of fruit so that human beings can be trustly eat the fruit. This work is to focus to make a system with the help of hardware associated with software to obtain correct output. By using sensors like pH Sensor, DHT11 Sensor and Gas Sensor a prototype of the system is developed.
Keywords: Convolutional Neural Network, Sensors
Cite Article: "Prediction Of Pesticides And Quality Of Fruits Using Deep Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1968 - 1971, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305312.pdf
Downloads: 000337211
Publication Details: Published Paper ID: IJSDR2305312
Registration ID:206772
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1968 - 1971
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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