Intelligent Agricultural Machinery Using Deep Learning
| العنوان: | Intelligent Agricultural Machinery Using Deep Learning |
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| المؤلفون: | Nioosha Khorasani, Gabriel Thomas, Simone Balocco, Avery Simundsson, Danny Mann |
| المصدر: | IEEE Instrumentation & Measurement Magazine. 24:93-100 |
| بيانات النشر: | Institute of Electrical and Electronics Engineers (IEEE), 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Artificial intelligence, Computer science, media_common.quotation_subject, Big data, 02 engineering and technology, Maquinària agrícola, Neural networks (Computer science), Software, Aprenentatge automàtic, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Xarxes neuronals (Informàtica), Conversation, Electrical and Electronic Engineering, Agricultural machinery, Instrumentation, media_common, Artificial neural network, business.industry, Intel·ligència artificial, Deep learning, 020208 electrical & electronic engineering, Sorting, Data science, Witness, business |
| الوصف: | Artificial intelligence, deep learning, big data, self-driving cars…, these are words that have become familiar to most people and have captured the imagination of the public and have brought hopes as well as fears. We have been told that artificial intelligence will be a major part of our lives, and almost all of us witness this when decisions made by algorithms show us commercial advertisements that specifically target our interests while using the web. In this paper, the conversation around artificial intelligence focuses on a particular application, agricultural machinery, but offers enough content so that the reader can have a very good idea on how to consider this technology for not only other agricultural applications such as sorting and grading produce, but also other areas in which this technology can be a part of a system that includes sensors, hardware and software that can make accurate decisions. Narrowing the application and also focusing on one specific artificial intelligence approach, that of deep learning, allow us to illustrate from start to end the steps that are usually considered and elaborate on recent developments on artificial intelligence. |
| وصف الملف: | application/pdf |
| تدمد: | 1941-0123 1094-6969 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92fff764ff3039218aaa1a669743f8edTest https://doi.org/10.1109/mim.2021.9400957Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....92fff764ff3039218aaa1a669743f8ed |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19410123 10946969 |
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