相关实验视频

Updated: May 22, 2025

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Use of Principal Components for Scaling Up Topographic Models to Map Soil Redistribution and Soil Organic Carbon

Published on: October 16, 2018

将土壤信息与机器学习相结合,用于作物推,以提高农业产量

Hadeeqa Afzal¹, Madiha Amjad², Ali Raza³

¹Institute of Information Technology, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, 64200, Pakistan.

Scientific reports

|March 13, 2025

概括

选择合适的作物对农民来说至关重要. 本研究介绍了RFXG,一个集成机器学习模型,根据土壤和环境数据准确地推合适的作物,提高农业生产率.

科学领域:

农业科学农业科学
计算机科学计算机科学
数据科学数据科学数据科学

背景情况:

作物选择是农民的关键决定,直接影响生产力和利能力.
不准确的作物选择可能导致产量下降,粮食短缺和经济困难.
土壤湿度,营养水平 (N,K,P),pH,降雨量和温度等环境因素显著影响作物适应性.

研究的目的:

开发一个智能系统,向农民推合适的作物.
通过机器学习解决最佳作物选择的挑战.
改善农业决策和提高作物生产率.

主要方法:

开发了一种新的集体学习方法,RFXG,它结合了随机森林 (RF) 和极端梯度增强 (XGB).
评估了各种机器学习模型,包括额外树分类器,多层感知器,射频,决策树,物流回归和XGBoost.
使用超参数优化和K折交叉验证来确保强大的性能.

主要成果:

拟议的RFXG技术在合适的作物中达到98%的高推准确度.
该模型有效地处理了土壤和环境数据,以提供准确的作物建议.
该系统立即提供建议,使农民能够及时作出明智的决定.

结论:

采用RFXG集体学习方法,显著提高了作物推准确度.
这种智能系统为农民提供数据驱动的洞察力,以更好地选择作物.
该研究强调了机器学习的潜力,可以彻底改变农业实践,提高粮食安全.

关键词:

农业经济学农业经济学建议作物的作物建议.组合模型模型组合模型机器学习是机器学习.智能农业 - 智能农业智能农业是一种智能农业.土壤参数土壤参数

更多相关视频

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

A Telemetric, Gravimetric Platform for Real-Time Physiological Phenotyping of Plant–Environment Interactions

Published on: August 5, 2020

相关概念视频

Multiple Regression

Multiple Regression

Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...

Plant Breeding and Biotechnology

Plant Breeding and Biotechnology

Crop cultivation has a long history in human civilization, with records showing the cultivation of cereal plants beginning at around 8000 BC. This early plant breeding was developed primarily to provide a steady supply of food.

Key Elements for Plant Nutrition

Key Elements for Plant Nutrition

Like all living organisms, plants require organic and inorganic nutrients to survive, reproduce, grow and maintain homeostasis. To identify nutrients that are essential for plant functioning, researchers have leveraged a technique called hydroponics. In hydroponic culture systems, plants are grown—without soil—in water-based solutions containing nutrients. At least 17 nutrients have been identified as essential elements required by plants. Plants acquire these elements from the...

Light Acquisition

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.