Prediction Of Pesticides And Quality Of Fruits Using Deep Learning
Gayatri Vilasrao Deshmukh
, Tathe Simran Santosh , Temgire Sneha Sanjeev
Convolutional Neural Network, Sensors
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.
"Prediction Of Pesticides And Quality Of Fruits Using Deep Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1968 - 1971, May-2023, Available :https://ijsdr.org/papers/IJSDR2305312.pdf
Volume 8
Issue 5,
May-2023
Pages : 1968 - 1971
Paper Reg. ID: IJSDR_206772
Published Paper Id: IJSDR2305312
Downloads: 000347117
Research Area: Electronics & Communication Engg.
Country: Pune, Maharashtra, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
