Internet of things-based remote monitoring and classification of Spinacia oleracea leaf disease using deep learning approach
SP Jena, S Chakravarty… - International Journal of …, 2024 - inderscienceonline.com
Due to the change in the climatical conditions, there is a considerable impact on the plant's
growth. Hence, a system with a model has been developed for monitoring Spinacia oleracea …
growth. Hence, a system with a model has been developed for monitoring Spinacia oleracea …
Prediction of Stock Price Using Machine Learning Techniques
SP Jena, AK Yadav, D Gupta… - 2023 IEEE 2nd …, 2023 - ieeexplore.ieee.org
The paper presents a study on stock price prediction using a Long Short-Term Memory
(LSTM) model and other machine learning techniques like Random Forest (RF). The LSTM …
(LSTM) model and other machine learning techniques like Random Forest (RF). The LSTM …
Identification and Detection of Leaf Miner, Pests Infestation in Cucurbitaceae Family in Real Time Infield Scenarios using YOLOv5s Object Detection Model
MAK Prasad, NS Rani… - … on Computing for …, 2024 - ieeexplore.ieee.org
This study contributes to technological developments in precision agriculture by developing
a YOLOv5sbased model with a high F1 score and mAP, highlighting its potential for real …
a YOLOv5sbased model with a high F1 score and mAP, highlighting its potential for real …
Integration of Cellular IoT for Greenhouse Monitoring, Controlling and Notification System
To harvest crops at the ideal time, conventional farmers must often physically tour the farms
to measure various environmental parameters, including temperature, humidity, light …
to measure various environmental parameters, including temperature, humidity, light …