Work

IoT technologies in smart agriculture for crop yield prediction and artificial intelligence application

Year: 2026

Type: article

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/e3sconf/202671902008/pdf

Authors: Zhadyra Kopzhassarova, Nabat Suieuova, Gulbarshin Rakhimbayeva, Ainagul Nakay, Saltanat Yendibayeva, Nuraly Zhailaubayev, Zhanar Kemelbekova

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7165022660

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