[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-122827-en":3,"doc-seo-122827-105":30,"detail-sidebar-cat-0-en-105":91},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},122827,3848291630094,"Emma Wilson","https://eur-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45",6,"Technology","Agriculture Automation System using Machine Learning and Internet of Things","Agriculture Automation System using Machine Learning and Internet of Things focuses on improving crop yield and reducing irrigation wastage through automation and data-driven control. The approach monitors temperature, humidity, and soil moisture using sensors connected to an Arduino board. Field-sensed data is processed with a decision tree machine learning algorithm to predict outcomes and support advance decision-making for water supply. The system promotes ease of farm management, enabling timely actions and more efficient resource use for farmers.","Agriculture Automation System using Machine Learning and  \nInternet of Things  \nAsha K N 1, Gahana N, Shishira Gowda, Harsha C R4 and Chandana D M5 1Assistant Professor, Department ofCSE, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, INDIA 2Student, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, INDIA 3Student, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, INDIA 4Student, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, INDIA 5Student, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka, INDIA  \n5Corresponding Author: [chandudm0609@gmail.com](chandudm0609@gmail.com)  \nReceived: 21-05-2023 Revised: 06-06-2023 Accepted: 22-06-2023  \nABSTRACT  \nAgriculture balances both food requirement for mankind and supplies indispensable raw materials for many industries, and it is the most significant and fundamental occupation in India. The advancement in inventive farming techniques is gradually enhancing the crop yield making it more profitable and reduce irrigation wastages. This project aims at making use of evolving technology i.e., IOTand smart agriculture using automation. Monitoring environmental conditions is the major factor to improve yield of the efficient crops. The feature of this project includes development of a system which can monitor temperature, humidity and moisture content of the crops in agricultural field through sensors using Arduino board. Decision tree algorithm, an efficient machine learning algorithm is applied on the data sensed from the field in to predict results efficiently which helps in decision making regarding water supply in advance.  \nKeywords– Automation, Crop Management, Internet of Things, Machine Learning  \nI. INTRODUCTION  \nINDIA is an agricultural country. India ranks second worldwide in farm output. Nowadays, at regular intervals the lands are manually irrigated by the farmers. In this process there is possibility in which the water consumption may be more or time taken by the water to reach the time may also exceed which leads to dryness of the crops. To meet the growing demand of irrigation and due to uncertain climatic conditions, it is necessary to focus on sustainable irrigation approaches and improving the efficiency of such existing irrigation systems, we have come up with this system that is going to help the farmers to work in ease by adopting certain modern-day technologies.  \nIn today’s era, there has been a significant shift towards automation in agriculture to improve productivity, efficiency, and sustainability. One of the emerging trends in this field is the integration of Internet of Things (IoT) and Machine Learning (ML) into agricultural systems. IoT devices can be deployed in  \nvarious forms such as sensors, drones, and actuators. These devices can monitor environmental conditions, soil moisture, crop growth, and livestock health, among other parameters. By collecting real time data from the farm, IoT enables farmers to make informed decisions and take timely actions. In agriculture, ML algorithms can analyze the vast amount of data collected by IoT devices and extract valuable insights. These insights can help farmers optimize irrigation schedules, predict crop diseases, detect pest infestations, and improve overall farm management. The integration of IoT and ML in agriculture automation systems offers several benefits such as farmers can access real-time data about their crops and livestock through mobile applications or web portals. This remote monitoring capability enables them to respond quickly to any issues, saving time and resources.  \nFurthermore, the integration of IoT and ML in agriculture automation systems holds tremendous potential for transforming the way farming is done. It enables farmers to monitor their operations remotely, make data-driven decisions, and adopt precision agriculture practices.  \nA. Existing System  \nCurrently, there are numerous researches on Agriculture Automation System. Many autho","cbCaijp3sS7dPwQ1","https://ap.wps.com/l/cbCaijp3sS7dPwQ1","pdf",344102,1,5,"English","en",105,"# Introduction\n## Existing System\n## Proposed System\n## Scope of the Project\n## System Design and Methodology","[{\"question\":\"What does the proposed agriculture automation system monitor in the field?\",\"answer\":\"It monitors environmental parameters such as temperature, humidity, and soil moisture using sensors with an Arduino board.\"},{\"question\":\"How does machine learning contribute to the system’s decisions?\",\"answer\":\"A decision tree algorithm analyzes the sensed data to predict results and assist in advance decision-making for water supply.\"},{\"question\":\"Why is integrating IoT with agriculture automation beneficial?\",\"answer\":\"IoT enables real-time data collection and remote access, helping farmers respond quickly and optimize irrigation and farm management.\"}]","Agriculture Automation System using Machine Learning and Internet of Things | PDF",1785813109,13,{"code":4,"msg":31,"data":32},"ok",{"site_id":24,"language":23,"slug":33,"title":13,"keywords":34,"description":14,"schema_data":35,"social_meta":86,"head_meta":88,"extra_data":90,"updated_unix":28},"agriculture-automation-system-using-machine-learning-and-internet-of-things","",{"@graph":36,"@context":85},[37,54,68],{"@type":38,"itemListElement":39},"BreadcrumbList",[40,44,48,51],{"item":41,"name":42,"@type":43,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":45,"name":46,"@type":43,"position":47},"https://docshare.wps.com/document/","Document",2,{"item":49,"name":12,"@type":43,"position":50},"https://docshare.wps.com/document/technology/",3,{"item":52,"name":13,"@type":43,"position":53},"https://docshare.wps.com/document/agriculture-automation-system-using-machine-learning-and-internet-of-things/122827/",4,{"url":52,"name":13,"@type":55,"author":56,"headline":13,"publisher":58,"fileFormat":61,"inLanguage":23,"description":14,"dateModified":62,"datePublished":62,"encodingFormat":61,"isAccessibleForFree":63,"interactionStatistic":64},"DigitalDocument",{"name":9,"@type":57},"Person",{"url":41,"name":59,"@type":60},"DocShare","Organization","application/pdf","2026-08-04",true,{"@type":65,"interactionType":66,"userInteractionCount":4},"InteractionCounter",{"@type":67},"ViewAction",{"@type":69,"mainEntity":70},"FAQPage",[71,77,81],{"name":72,"@type":73,"acceptedAnswer":74},"What does the proposed agriculture automation system monitor in the field?","Question",{"text":75,"@type":76},"It monitors environmental parameters such as temperature, humidity, and soil moisture using sensors with an Arduino board.","Answer",{"name":78,"@type":73,"acceptedAnswer":79},"How does machine learning contribute to the system’s decisions?",{"text":80,"@type":76},"A decision tree algorithm analyzes the sensed data to predict results and assist in advance decision-making for water supply.",{"name":82,"@type":73,"acceptedAnswer":83},"Why is integrating IoT with agriculture automation beneficial?",{"text":84,"@type":76},"IoT enables real-time data collection and remote access, helping farmers respond quickly and optimize irrigation and farm management.","https://schema.org",{"og:url":52,"og:type":87,"og:title":13,"og:site_name":59,"og:description":14},"article",{"robots":89,"canonical":52},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":92},[93,97,101,105,109,112,117,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":46,"category_name":94,"show_sort_weight":95,"slug":96},"Story & Novel",90,"story-novel",{"id":47,"doc_module":4,"doc_module_name":46,"category_name":98,"show_sort_weight":99,"slug":100},"Literature",80,"literature",{"id":53,"doc_module":4,"doc_module_name":46,"category_name":102,"show_sort_weight":103,"slug":104},"Exam",70,"exam",{"id":21,"doc_module":4,"doc_module_name":46,"category_name":106,"show_sort_weight":107,"slug":108},"Comic",60,"comic",{"id":11,"doc_module":4,"doc_module_name":46,"category_name":12,"show_sort_weight":110,"slug":111},50,"technology",{"id":113,"doc_module":4,"doc_module_name":46,"category_name":114,"show_sort_weight":115,"slug":116},7,"Healthcare",40,"healthcare",{"id":118,"doc_module":4,"doc_module_name":46,"category_name":119,"show_sort_weight":120,"slug":121},8,"Research & Report",30,"research-report",{"id":123,"doc_module":4,"doc_module_name":46,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":46,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":46,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":135,"doc_module":4,"doc_module_name":46,"category_name":136,"show_sort_weight":21,"slug":137},19,"General","general"]