Search Results - "Gadepally, Krishna Chaitanya"

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

“…Heavy metal concentrations that must be maintained in aquaponic environments for plant growth have been a source of concern for many decades, as they cannot be…”
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Testing the Performance of LSTM and ARIMA Models for In-Season Forecasting of Canopy Cover (CC) in Cotton Crops by Dhal, Sambandh Bhusan, Kalafatis, Stavros, Braga-Neto, Ulisses, Gadepally, Krishna Chaitanya, Landivar-Scott, Jose Luis, Zhao, Lei, Nowka, Kevin, Landivar, Juan, Pal, Pankaj, Bhandari, Mahendra

“…Cotton (Gossypium spp.), a crucial cash crop in the United States, requires the constant monitoring of growth parameters for informed decision-making…”
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CNN-based real-time prediction of growth stage in soybeans cultivated in hydroponic set-ups by Dhal, Sambandh Bhusan, Mahanta, Shikhadri, Gadepally, Krishna Chaitanya, He, Samuel, Hughes, Mary, Moore, Janie, Nowka, Kevin J., Kalafatis, Stavros

“…The purpose of this research is to create a deep learning model capable of predicting the day of harvest for soybeans growing in hydroponic conditions. The…”
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A Deep Transfer Learning based approach for forecasting spatio-temporal features to maximize yield in cotton crops by Gadepally, Krishna Chaitanya, Dhal, Sambandh Bhusan, Bhandari, Mahendra, Landivar, Juan, Kalafatis, Stavros, Nowka, Kevin

“…Cotton is an important economic crop farmed in the United States. Monitoring cotton crop growth metrics during in-season growth, from early season growth to…”
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Realistic Predictors for Regression and Semantic Segmentation by Gadepally, Krishna Chaitanya, Bhusan Dhal, Sambandh, Kalafatis, Stavros, Nowka, Kevin J.

“…Computer vision and image processing algorithms work well under strong assumptions. Computer vision algorithms are not expected to do well on all kinds of…”
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Effects of Noise on Machine Learning Algorithms Using Local Differential Privacy Techniques by Gadepally, Krishna Chaitanya, Mangalampalli, Sameer

“…Noise has been used as a way of protecting privacy of users in public datasets for many decades now. Differential privacy is a new standard to add noise, so…”
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