Work

Enhancing Crop Yield Prediction Using IoT-Based Soil Moisture and Nutrient Sensors

Year: 2025

Type: article

Source: Springer Link (Chiba Institute of Technology)

DOI: 10.1051/shsconf/202521601029/pdf

Authors: Zaid Alsalami, G. Mohammed, Tummala Srinivas

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: W7124453126

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