SmartSoils
收藏RapidAPI2023-03-30 更新2024-05-11 收录
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https://rapidapi.com/bourassijihad/api/smartsoils
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# Soil Properties Prediction using Vis-NIR spectra and Machine Learning
Our RapidAPI project offers a solution for determining soil properties using machine learning models. This implementation is based on Vis-NIR reflectance spectra data and has been trained on a dataset of 448 wavelengths between 400nm and 1000nm, along with the corresponding soil properties. The use of various machine learning algorithms ensures high accuracy in predicting 74 different soil properties. Integration with ...
创建时间：
2023-03-30
搜集汇总
数据集介绍
背景与挑战
背景概述
SmartSoils数据集旨在通过可见光-近红外反射光谱和机器学习技术预测土壤属性。它基于400至1000纳米范围内的448个波长数据训练模型，能够高精度地预测多达74种不同的土壤性质。
以上内容由遇见数据集搜集并总结生成
