Work

Research on soil testing and planting in STM32 based on lightweight neural networks

Year: 2024

Type: conference-paper

Source: International Symposium on Advances in Electrical, Electronics and Computer Engineering (ISAEECE)

DOI: 10.1117/12.3034453

Authors: Yang Li, Jing Shu, Kexuan Chen, Xinyu Li, Zixian Wu

Institution: University of Electronic Science and Technology of China

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: closed

OpenAlex ID: W4403467674

FWCI: 0.75

Cites:

Cited by: 1

Related to: 10