A Subeesh

Orcid: 0000-0001-6128-3292

According to our database1, A Subeesh authored at least 10 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Deep autoencoder-driven feature learning and meta-heuristic optimized machine learning modelling for crop water stress identification.
Evol. Syst., September, 2025

Deep learning and computer vision in plant disease detection: a comprehensive review of techniques, models, and trends in precision agriculture.
Artif. Intell. Rev., March, 2025

Deep learning assisted real-time nitrogen stress detection for variable rate fertilizer applicator in wheat crop.
Comput. Electron. Agric., 2025

2024
State-of-the-art AI-enabled mobile device for real-time water stress detection of field crops.
Eng. Appl. Artif. Intell., 2024

Implementation of IoT and Fuzzy Logic Driven Real-Time Smart Storage Monitoring System.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023
Development of an automated mobile robotic sprayer to prevent workers' exposure of agro-chemicals inside polyhouse.
J. Field Robotics, September, 2023

AI-enabled farm-friendly automatic machine for washing, image-based sorting, and weight grading of citrus fruits: Design optimization, performance evaluation, and ergonomic assessment.
J. Field Robotics, September, 2023

Development of an optimally designed real-time automatic citrus fruit grading-sorting​ machine leveraging computer vision-based adaptive deep learning model.
Eng. Appl. Artif. Intell., April, 2023

2022
Deep learning approaches and interventions for futuristic engineering in agriculture.
Neural Comput. Appl., 2022

2019
Analysis of Most Significant Bands and Band Ratios for Discrimination of Hydrothermal Alteration Minerals.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019


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