Azlan Zahid

According to our database, Azlan Zahid authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Detection and infected area segmentation of apple fire blight using image processing and deep transfer learning for site-specific management.

Md. Sultan Mahmud, Long He, Azlan Zahid, Paul H. Heinemann, Daeun Choi, Grzegorz Krawczyk, Heping Zhu

Comput. Electron. Agric., June, 2023

Sensing and Automation Technologies for Ornamental Nursery Crop Production: Current Status and Future Prospects.

Md. Sultan Mahmud, Azlan Zahid, Anup Kumar Das

Sensors, February, 2023

2022

Deep Learning in Controlled Environment Agriculture: A Review of Recent Advancements, Challenges and Prospects.

Mike Oluwatayo Ojo, Azlan Zahid

Sensors, 2022

2021

Opportunities and Possibilities of Developing an Advanced Precision Spraying System for Tree Fruits.

Md. Sultan Mahmud, Azlan Zahid, Long He, Phillip Martin

Sensors, 2021

Technological advancements towards developing a robotic pruner for apple trees: A review.

Azlan Zahid, Md. Sultan Mahmud, Long He, Paul H. Heinemann, Daeun Choi, James Schupp

Comput. Electron. Agric., 2021

Development of a LiDAR-guided section-based tree canopy density measurement system for precision spray applications.

Md. Sultan Mahmud, Azlan Zahid, Long He, Daeun Choi, Grzegorz Krawczyk, Heping Zhu, Paul H. Heinemann

Comput. Electron. Agric., 2021

LiDAR-sensed tree canopy correction in uneven terrain conditions using a sensor fusion approach for precision sprayers.

Md. Sultan Mahmud, Azlan Zahid, Long He, Daeun Choi, Grzegorz Krawczyk, Heping Zhu

Comput. Electron. Agric., 2021

A systematic literature review on deep learning applications for precision cattle farming.

Md. Sultan Mahmud, Azlan Zahid, Anup Kumar Das, Muhammad Muzammil, Muhammad Usman Khan

Comput. Electron. Agric., 2021

2020

Development of an integrated 3R end-effector with a cartesian manipulator for pruning apple trees.

Azlan Zahid, Md. Sultan Mahmud, Long He, Daeun Choi, Paul H. Heinemann, James Schupp

Comput. Electron. Agric., 2020