A. Subeesh

发表

Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India

Dinesh Kr. Vishwakarma, Manish Kumar, A. Elbeltagi, 2022, Stochastic Environmental Research and Risk Assessment.

Deep learning approaches and interventions for futuristic engineering in agriculture

M. Tiwari, S. Chakraborty, D. Jat, 2022, Neural Computing and Applications.

Deep learning based computer vision approaches for smart agricultural applications

Ashutosh Kumar Singh, D. K. Vishwakarma, V. G. Dhanya, 2022, Artificial Intelligence in Agriculture.

Modelling reference evapotranspiration using Gene Expression Programming and Artificial Neural Network at Pantnagar, India

P. Heramb, Pramod Kumar Singh, K. R. Ramana Rao, 2022, Information Processing in Agriculture.

Water Stress Identification of Winter Wheat Crop with State-of-the-Art AI Techniques and High-Resolution Thermal-RGB Imagery

M. Tiwari, A. Chandel, Y. Rajwade, 2022, Plants.

State-of-the-art computer vision techniques for automated sugarcane lodging classification

A. Chandel, D. Jat, K. Dubey, 2023, Field Crops Research.

Drought indicator analysis and forecasting using data driven models: case study in Jaisalmer, India

Dinesh Kr. Vishwakarma, Manish Kumar, A. Elbeltagi, 2022, Stochastic Environmental Research and Risk Assessment.

Automation and digitization of agriculture using artificial intelligence and internet of things

A. Subeesh, C. R. Mehta, 2021, Artificial Intelligence in Agriculture.

Deep convolutional neural network models for weed detection in polyhouse grown bell peppers

N. S. Chandel, K. Singh, Y. Rajwade, 2022, Artificial Intelligence in Agriculture.

Development of an optimally designed real-time automatic citrus fruit grading-sorting machine leveraging computer vision-based adaptive deep learning model

S. Chakraborty, D. Jat, K. Dubey, 2023, Eng. Appl. Artif. Intell..

Analysis of Most Significant Bands and Band Ratios for Discrimination of Hydrothermal Alteration Minerals

Shailesh Deshpande, A. Subeesh, Anjali Saini, 2019, 2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS).

An automated weed identification framework for sugarcane crop: A deep learning approach

C. Raj, A. Subeesh, N. Chandel, 2023, Crop Protection.

Defects identification in raw jute fibre using convolutional neural network models

D. Shakyawar, A. Subeesh, B. Saha, 2023, The Journal of The Textile Institute.

Predictive Modelling of Reference Evapotranspiration Using Machine Learning Models Coupled with Grey Wolf Optimizer

P. Heramb, Ankur Srivastava, K. R. Ramana Rao, 2023, Water.

Flood Early Detection System Using Internet of Things and Artificial Neural Networks

Naveen Chauhan, Prashant Kumar, A. Subeesh, 2018, International Conference on Innovative Computing and Communications.