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rahuldkjain / Crop_Prediction

Sponsor
Star 31

ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers. The team decided to use Machine Learning techniques on various data to came out with better solution. This solution uses Decision Tree Regression technique to predict the crop value using the data trained from authentic datasets of Annual Rainfall, WPI Index for about the previous 10 years. This implementation proved to be promising with 93-95% accuracy.

python flask machine-learning crop dataset wpi rainfall decision-tree-regression price-prediction multivariable crop-price-prediction
  • Updated Apr 23, 2019
  • HTML
intensity_duration_frequency_analysis

MarkusPic / intensity_duration_frequency_analysis

Star 15

heavy rain as a function of the duration and the return period acc. to DWA-A 531 (2012) This program reads the measurement data of the rainfall and calculates the distribution of the rainfall as a function of the return period and the duration for duration steps up to 12 hours (and more) and return period in a range of '0.5a <= T_n <= 100a'

python duration analysis rainfall dwd idf measurement-data precipitation kostra dwa heavy-rain intensity-duration-frequency design-rainfall duration-steps return-period dwa-a-531
  • Updated May 28, 2022
  • Jupyter Notebook

rhymeswithmogul / aprs-weather-submit

Star 14
Open

issue in order aprs string

5
pd9mwo
pd9mwo commented Jan 17, 2022

look like there is an issue with the order to send to APRS-IS

PD9MWO-4>APRS,TCPIP*:@171407z5216.39N/00437.37E_110/004t049g012P000h83b10256L063Xaprs-weather-submit/1.4
but must be
PD9MWO-4>APRS,TCPIP*:@171407z5216.39N/00437.37E_110/004g012t049P000h83b10256L063Xaprs-weather-submit/1.4

the raw packets on aprs.fi
GOOD
2022-01-17 15:09:09 CET: PD9MWO-4>APRS,TCPIP*,qAC,T2EDM:@1714

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bug good first issue

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