Mango Farming Optimization With AI: Boosting Cultivation Efficiency-Reference-Cited by-同舟云学术

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Mango Farming Optimization With AI: Boosting Cultivation Efficiency

Published:2023-09-13 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Computing and Information Technology (ICCIT)
language:
Short-container-title:

Author:

Ahmed Syed Umaid¹,Khan Mohammad Rafay²,Siddiqui Muhammad Emmad³

Affiliation:

1. National University of Computer & Emerging Sciences (FAST),Department of Computer Sciences,Karachi,Pakistan

2. NED University of Engineering and Technology,Department of Electronic Engineering,Karachi,Pakistan

3. NED University of Engineering and Technology,Department of Industrial & Manufacturing Engineering,Karachi,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10273859/10273869/10273915.pdf?arnumber=10273915

Reference19 articles.

1. YOLOv5-lotus an efficient object detection method for lotus seedpod in a natural environment

2. Detection and Location of Dead Trees with Pine Wilt Disease Based on Deep Learning and UAV Remote Sensing

3. Multilayer Convolution Neural Network for the Classification of Mango Leaves Infected by Anthracnose Disease

4. Recent progress in omics and biotechnological approaches for improved mango cultivars in Pakistan

5. YOLOv3: An Incremental Improvement;redmon,2018

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