Zobrazeno 1 - 10
of 222
pro vyhledávání: '"ARTIFICIAL intelligence in agriculture"'
Autor:
Çağlar, Ersin1 ecaglar@eul.edu.tr
Publikováno v:
International Journal of Agriculture, Environment & Food Sciences. Sep2024, Vol. 8 Issue 3, p486-494. 9p.
Autor:
Sharma, Monika, Solanki, Pradeep Kumar
Publikováno v:
International Research Journal of Innovations in Engineering & Technology; Oct2024, Vol. 8 Issue 10, p32-38, 7p
Autor:
Samarth Godara, Shbana Begam, Ram Swaroop Bana, Jatin Bedi, Rajni Jain, Md. Ashraful Haque, Rajender Parsad, Sudeep Marwaha, Madhu Patial, Saber Shirzad, Ravi Nirmal
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract To meet the challenges of increasing food production demand globally, extracting insights regarding the persistent agriculture-related problems on a nationwide scale is the need of the hour. Policymakers now have limited possibilities for ac
Externí odkaz:
https://doaj.org/article/e9f0ae66622b4ff1a7ca851a4b5808dd
Autor:
Klawitter, Katrin
Publikováno v:
Gärtnerbörse: Das Magazin für Zierpflanzenbau. sep2024, Vol. 16 Issue 5, p18-24. 7p.
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2018, Vol. 35 Issue 3, p2731-2740. 10p.
Publikováno v:
Frontiers of Agricultural Science & Engineering; Jun2024, Vol. 11 Issue 2, p347-354, 8p
Publikováno v:
IEEE Access, Vol 12, Pp 294-311 (2024)
Advancements in information sciences can play a vital role in strengthening the nation’s sustainable agriculture goals. In this direction, we propose a framework for a text-based query-response generation system to cope with the demand for timely h
Externí odkaz:
https://doaj.org/article/ce2cf615643e4050a1775aa0dc2598a1
Autor:
Young, Sydney
Publikováno v:
Harvard International Review. Winter2020, Vol. 41 Issue 1, p45-47. 3p.
Autor:
Elmore, Chad
Publikováno v:
Diesel Progress; Apr2024, Vol. 90 Issue 3, p28-31, 4p
Advancements in rice disease detection through convolutional neural networks: A comprehensive review
Autor:
Burak Gülmez
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e33328- (2024)
This review paper addresses the critical need for advanced rice disease detection methods by integrating artificial intelligence, specifically convolutional neural networks (CNNs). Rice, being a staple food for a large part of the global population,
Externí odkaz:
https://doaj.org/article/ff934da82b444103857a942bfa814c4d