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Description: 对农作物六种经典水分生产函数模型的相关数据进行拟合求函数中参数(Fitting the parameters of the six classical crop water production function models by fitting the related data)
Platform: |
Size: 102400 |
Author: 安静的高调 |
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Description: 一款简易的作物模型，数据及其源代码，可用于一年生作物生育期，生物量模拟(A simple crop model for annual crop.)
Platform: |
Size: 100352 |
Author: pavel0622 |
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Description: 基本知识
绘制矩形
清除矩形区域
圆弧
路径
绘制线段
绘制贝塞尔曲线
线性渐变
径向渐变（发散）
图形变形（平移、旋转、缩放）
矩阵变换（图形变形的机制）
图形组合
给图形绘制阴影
绘制图像（图片平铺、裁剪、像素处理[不只图像、包括其他绘制图形]）
绘制文字
保存和恢复状态（context）
保存文件
结合setInterval制作动画(basic knowledge
Draw rectangle
Clear rectangular area
Arc
path
Draw a line segment
Drawing Bezier curves
Linear gradient
Radial gradient (diverging)
Graphic distortion (translation, rotation, scaling)
Matrix transformation (mechanism of graphic deformation)
Graphic combination
Draw a shadow on the graphic
Draw an image (picture tile, crop, pixel processing [not just images, including other drawing graphics])
Drawing text
Save and restore state (context)
save document
Create animation with setInterval)
Platform: |
Size: 29696 |
Author: markhenry |
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Description: 基于ZigBee的智能农作物监控系统，智能农业有很好的帮助(Intelligent crop monitoring system based on ZigBee, intelligent agriculture has a very good help.)
Platform: |
Size: 10836992 |
Author: koji_ono |
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Description: 使用超绿特征分割作物图像。具体来说，首先使用超绿特征将图像灰度化，然后经过中值滤波后，使用Otsu最大类内方差方法将图像二值化，得到分割图像。(The crop image is segmented by super green feature. Specifically, firstly, the image is grayed by Super-Green feature, and then after median filtering, the Otsu maximum intra-class variance method is used to binarize the image to get the segmented image.)
Platform: |
Size: 804864 |
Author: ANR~ |
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Description: 基于gdal实现批量裁剪tif图像，对于遥感影像同样适用。(gdal batch crop tif images)
Platform: |
Size: 1024 |
Author: 周琦crush |
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Description: 时间序列分析是根据系统观测得到的时间序列数据，通过曲线拟合和参数估计来建立数学模型的理论和方法。它一般采用曲线拟合和参数估计方法(如非线性最小二乘法)进行。时间序列分析常用在国民经济宏观控制、区域综合发展规划、企业经营管理、市场潜量预测、气象预报、水文预报、地震前兆预报、农作物病虫灾害预报、环境污染控制、生态平衡、天文学和海洋学等方面。(Time series analysis is a theory and method to establish mathematical model by curve fitting and parameter estimation based on time series data obtained from systematic observation. It is usually carried out by curve fitting and parameter estimation methods (such as nonlinear least square method). Time series analysis is often used in macro-control of national economy, regional comprehensive development planning, enterprise management, market potential prediction, meteorological forecast, Hydrological Prediction, earthquake precursor prediction, crop pest and disease disaster prediction, environmental pollution control, ecological balance, astronomy and oceanography.)
Platform: |
Size: 53313536 |
Author: Sandy_Zhao |
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