日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

IoT/農業arXiv:2202.08153

IoTによるスマート植物モニタリング・水やり・防犯システム

IoT Smart Plant Monitoring, Watering and Security System

シェア:XThreadsFacebookLINEはてブBluesky

植物の健康状態や土壌水分・湿度・気温を遠隔監視し、アプリから水やりできるIoTガーデニング自動化システムを提案した論文。

著者: U. H. D. Thinura Nethpiya Ariyaratne, V. Diyon Yasaswin Vitharana, L. H. Don Ranul Deelaka, H. M. Sumudu Maduranga Herath

分類: cs.CY, cs.RO

原文アブストラクト

Interest in home gardening has burgeoned since governments around the world-imposed lockdowns to suppress the spread of COVID-19. Nowadays, most families start to do gardening during this lockdown season because they can grow vegetables and fruits or any other plants that they want in their day-to-day life. So, they can survive without spending money on online grocery shopping for fruits and vegetables during this lockdown season. In Sri Lanka, home gardening was a trend during the past couple of months due to this pandemic. Most of the families were trying to do gardening for their needs. But the problem is, nowadays the government is trying to release those restrictions to start day-to-day work in Sri Lanka. With this situation, people are starting to do their jobs and they do not have time to spend in their gardens continuing their gardening. We thought about this problem and tried to find a solution to continue the gardening work while doing their jobs. The major concern is people cannot monitor their plants every time and protect their garden. So, we decided to automate the garden work. With our new solution, gardeners can monitor some important factors like the plant's healthiness, soil moisture level, air humidity level, and the surrounding temperature and water their garden from anywhere in the world at any time by using our app. Plant health has a significant impact on plant development, production, and quality of agricultural goods. The goal of this study is to create an automated system that can identify the presence of illness in plants based on variations in plant leaf health state is created utilizing sensors such as temperature, humidity, and color....

  1. 1パナソニックHDら、ロボット操作AI「T-Rex」を共同開発 12タスクで平均成功率65%研究・技術
  2. 2Hugging Face、ロボット学習基盤「LeRobot v0.7.0」を公開 対話操作と大規模データ学習に対応新製品・発表
  3. 3NVIDIA、Vera CPUのエージェント処理性能を公表 x86比で速度・電力効率を比較半導体・GPU
  4. 4Agility、SPAC合併でナスダック上場資金調達
  5. 5AGIBOTのG2 6台、上海のコンビニで24時間試験 1,730タスクを実施量産・展開
PR本紙発行元 EmplifAI