Automation Intervention for Monitoring Agriculture Farming Scale: A Review-Reference-Cited by-同舟云学术

Automation Intervention for Monitoring Agriculture Farming Scale: A Review

Published:2023-07-06 Issue: Volume: Page:
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Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Joshi Kapil¹,Kumar Santosh²,Bhatla Shruti³,Kaushik Vishal⁴,Anandaram Harishchander⁵,Kumar Anil⁶

Affiliation:

1. Uttaranchal University,Department of CSE Uttaranchal Institute of Technology,Dehradun,India

2. Sharda University,Department of Mathematics Sharda School of Basic Sciences and Research,Greater Noida,UP,India

3. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,Uttarakhand,India

4. UPES,School of Computer Science,Dehradun,India

5. Amrita Vishwa Vidyapeetham,Centre for Computational Engineering and Networking,Coimbatore,Tamil Nadu,India

6. DIT University,School of Computing,Dehradun,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10307391.pdf?arnumber=10307391

Reference23 articles.

1. Artificial Intelligence in Agriculture Sector: Case Study of Blue River Technology

2. A smart agricultural model by integrating IoT, mobile and cloud-based big data analytics

3. Sensor based Smart Plant Monitoring using IOT and Deep Learning: A Systematic Approach

4. A novel image processing algorithm to separate linearly clustered kiwifruits

5. Kiwifruit recognition at nighttime using artificial lighting based on machine vision;longsheng;International Journal of Agricultural and Biological Engineering,2015

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