Multispectral Sensors and Machine Learning as Modern Tools for Nutrient Content Prediction in Soil

Multispectral Sensors and Machine Learning as Modern Tools for Nutrient Content Prediction in Soil

The combination of multispectral data and machine learning provides effective and flexible monitoring of the soil nutrient content, which consequently positively impacts plant productivity and food security, and ultimately promotes sustainable agricultural development overall. The aim of this study...

Full description

Saved in:
Bibliographic Details
Main Authors: Rafael Felippe Ratke, Paulo Roberto Nunes Viana, Larissa Pereira Ribeiro Teodoro, Fábio Henrique Rojo Baio, Paulo Eduardo Teodoro, Dthenifer Cordeiro Santana, Carlos Eduardo da Silva Santos, Alan Mario Zuffo, Jorge González Aguilera
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:AgriEngineering
Subjects:
machine learning
soil analysis
reflectance spectra
Online Access:https://www.mdpi.com/2624-7402/6/4/248
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2624-7402/6/4/248

Similar Items