{"title":"基于研究的人工智能(A.I. )农业:综述","authors":"Idris A. Adamu","doi":"10.9734/ajarr/2024/v18i8722","DOIUrl":null,"url":null,"abstract":"The world is dynamic in nature as Agriculture remains the backbone of human existence. Human being surely depends on agriculture for existence and the way agriculture is carried out keep on changing from traditional to modern method. Presently, machines are being used to carry out almost all agricultural activities. The most recently introduced method in agriculture and other related fields is the used of Artificial Intelligence. Artificial Intelligence is recently introduced in the field of agriculture because of its wide use and importance related to our daily life. The problems faced by farmers are enormous which include, low output, soil treatment, diseases and pest management couple with big data requirements, and many others. AI is applied in agriculture in four (4) dimension ways, in crop management, weed management, disease management and soil management. This application helps to manage the cost effectiveness, accuracy and high performance in a more efficient and better ways. The paper makes a review on the application of AI in the field of agriculture for more productivity in the present teeming population. The benefits, dangers and solutions to Artificial Intelligence created problems were suggested. Automated farm machinery like driverless tractors, smart irrigation, fertilization systems, IoT-powered agricultural drones, smart spraying, vertical farming software, and AI-based greenhouse robots for harvesting are just some examples. Compared with any human farm worker, AI-driven tools are far more efficient and accurate.","PeriodicalId":505193,"journal":{"name":"Asian Journal of Advanced Research and Reports","volume":"53 45","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study Based Artificial Intelligence (A.I.) Agriculture: A Review\",\"authors\":\"Idris A. Adamu\",\"doi\":\"10.9734/ajarr/2024/v18i8722\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The world is dynamic in nature as Agriculture remains the backbone of human existence. Human being surely depends on agriculture for existence and the way agriculture is carried out keep on changing from traditional to modern method. Presently, machines are being used to carry out almost all agricultural activities. The most recently introduced method in agriculture and other related fields is the used of Artificial Intelligence. Artificial Intelligence is recently introduced in the field of agriculture because of its wide use and importance related to our daily life. The problems faced by farmers are enormous which include, low output, soil treatment, diseases and pest management couple with big data requirements, and many others. AI is applied in agriculture in four (4) dimension ways, in crop management, weed management, disease management and soil management. This application helps to manage the cost effectiveness, accuracy and high performance in a more efficient and better ways. The paper makes a review on the application of AI in the field of agriculture for more productivity in the present teeming population. The benefits, dangers and solutions to Artificial Intelligence created problems were suggested. Automated farm machinery like driverless tractors, smart irrigation, fertilization systems, IoT-powered agricultural drones, smart spraying, vertical farming software, and AI-based greenhouse robots for harvesting are just some examples. Compared with any human farm worker, AI-driven tools are far more efficient and accurate.\",\"PeriodicalId\":505193,\"journal\":{\"name\":\"Asian Journal of Advanced Research and Reports\",\"volume\":\"53 45\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Advanced Research and Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9734/ajarr/2024/v18i8722\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Advanced Research and Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/ajarr/2024/v18i8722","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Study Based Artificial Intelligence (A.I.) Agriculture: A Review
The world is dynamic in nature as Agriculture remains the backbone of human existence. Human being surely depends on agriculture for existence and the way agriculture is carried out keep on changing from traditional to modern method. Presently, machines are being used to carry out almost all agricultural activities. The most recently introduced method in agriculture and other related fields is the used of Artificial Intelligence. Artificial Intelligence is recently introduced in the field of agriculture because of its wide use and importance related to our daily life. The problems faced by farmers are enormous which include, low output, soil treatment, diseases and pest management couple with big data requirements, and many others. AI is applied in agriculture in four (4) dimension ways, in crop management, weed management, disease management and soil management. This application helps to manage the cost effectiveness, accuracy and high performance in a more efficient and better ways. The paper makes a review on the application of AI in the field of agriculture for more productivity in the present teeming population. The benefits, dangers and solutions to Artificial Intelligence created problems were suggested. Automated farm machinery like driverless tractors, smart irrigation, fertilization systems, IoT-powered agricultural drones, smart spraying, vertical farming software, and AI-based greenhouse robots for harvesting are just some examples. Compared with any human farm worker, AI-driven tools are far more efficient and accurate.