Technology Based Agriculture

Registration ID: IJNRD_195458

Published ID: IJNRD2305445

DOI: Click Here to Get

H C Sujan Kumar , Jane Belita Dsouza , Neha G Rao , Sheikh Afraaz , Ganesh V N

YOLOv4, CNN, Machine leaning, Image processing, Android Studio, Arduino, Soil sensors, GSM.

In India, agriculture along with its associated sectors is the major source of livelihood for small and marginal farmers, which occupy about 85 % of farmers in the country. Crop production must be managed for plant diseases and weeds to be sustainable. Weeds are a concern because they crowd out valuable crops and take up space, water, and nutrients. Some weeds also become tangled in equipment, which hinders effective harvesting. Water wastage is also a big concern that the world faces. Nowadays water shortage is increasing day by day as a result saving water is also a topic of concern. Tools for weed and crop detection and plant disease data have been developed using machine learning techniques such as object detection and image classification. In this we provide a method for weed and crop detection and plant disease diagnosis that integrates object recognition and picture classification approaches. For object detection and image classification, the suggested method makes use of YOLOv4 algorithm and convolutional neural networks. And for automated irrigation system estimate how much quantity of water a crop would need. As a result, weed removal systems are essential. And automated irrigation system for plants can be supplied with water in a proper time interval.

Published Paper   E-Certificate

H C Sujan Kumar, Jane Belita Dsouza, Neha G Rao, Sheikh Afraaz, & Ganesh V N (May-2023). Technology Based Agriculture. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), e394-e399. https://ijnrd.org/papers/IJNRD2305445.pdf

Volume 8 Issue 5, May-2023

Pages : e394-e399

Paper Reg. ID: IJNRD_195458

Published Paper Id: IJNRD2305445

Downloads: 000121984

Research Area: Electronics & Communication Engg. 

Country: Mangalore, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305445.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305445

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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