Development of cloud-based Light intensity monitoring system for green house using Raspberry Pi

Author:

Khot Sandip Balaso,Gaikwad M. S.

Publisher

IEEE

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Learning for Plant Disease Detection and Crop Yield Prediction based on NPP-WPF Analysis in Smart Agriculture;2023 7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC);2023-10-11

2. A Novel Internet of Things based Approach for Crop Cultivation and Precision Agronomy;2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS);2023-03-23

3. Smart Lysimeter with Artificial Lighting & Plant Monitoring System;Communications in Computer and Information Science;2023

4. CEESys: A Cloud-Edge-End System for Data Acquisition, Transmission and Processing Based on HiSilicon and OpenHarmony;Metaverse – METAVERSE 2023;2023

5. Design and Implementation of Smart Greenhouse and Experiment in Strawberry Cultivation;2022 8th International Conference on Contemporary Information Technology and Mathematics (ICCITM);2022-08-31

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