A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations. - Sambandh Bhusan Dhal; Kyle Jungbluth; Raymond Lin; Seyed Pouyan Sabahi; Muthukumar Bagavathiannan; Ulisses Braga-Neto; Stavros Kalafatis (Sensors, 2022)

A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops. - Krishna Chaitanya Gadepally; Sambandh Bhusan Dhal; Mahendra Bhandari; Juan Landivar 001; Stavros Kalafatis; Kevin J. Nowka (CISS, 2023)

Realistic Predictors for Regression and Semantic Segmentation. - Krishna Chaitanya Gadepally; Sambandh Bhusan Dhal; Stavros Kalafatis; Kevin J. Nowka (SERA, 2023)

An IoT-Based Data-Driven Real-Time Monitoring System for Control of Heavy Metals to Ensure Optimal Lettuce Growth in Hydroponic Set-Ups. - Sambandh Bhusan Dhal; Shikhadri Mahanta; Jonathan Gumero; Nick O'Sullivan; Morayo Soetan; Julia Louis; Krishna Chaitanya Gadepally; Snehadri Mahanta; John Lusher; Stavros Kalafatis (Sensors, 2023)

Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops. - Sambandh Bhusan Dhal; Stavros Kalafatis; Ulisses Braga-Neto; Krishna Chaitanya Gadepally; Jose Luis Landivar-Scott; Lei Zhao 014; Kevin J. Nowka; Juan Landivar 001; Pankaj Pal; Mahendra Bhandari (Remote. Sens., 2024)