Dark Mode
Indian Rice Crop Pest & Weather Data
Data Science and Analytics
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
This dataset focuses on rice pest and disease information specifically for India, correlating it with weather-based parameters. Rice, a pivotal cereal grain, serves as the most widely consumed staple food globally, particularly across Asia and Africa, providing a significant portion of human caloric intake. This resource offers insights into the intricate relationship between meteorological conditions and the health of rice crops within India.
Columns
- Observation Year: The year the observation was recorded. Ranges from 1959 to 2011.
- Standard Week: The week of the year. Ranges from 1 to 52.
- Pest Value: A numerical value representing pest prevalence.
- Collection Type: The methodology used for data collection, including 'Number/Light trap' and 'Percentage'.
- MaxT: Maximum temperature.
- MinT: Minimum temperature.
- RH1(%): Relative Humidity 1, expressed as a percentage.
- RH2(%): Relative Humidity 2, expressed as a percentage.
- RF(mm): Rainfall in millimetres.
- WS(kmph): Wind Speed in kilometres per hour.
- SSH(hrs): Sunshine Hours in hours.
- EVP(mm): Evapotranspiration or Evaporation in millimetres.
- PEST NAME: The name of the specific rice pest, such as Yellowstemborer or Gallmidge.
- Location: The geographical location of the observation, including places like Maruteru and Rajendranagar.
Distribution
The dataset is provided as a CSV data file, named
RICE.csv, with a size of 1.67 MB. It comprises 14 columns and contains approximately 19.4 thousand records.Usage
This dataset is ideal for agricultural research, pest management strategies, and climate impact studies on rice cultivation. It can be used for developing predictive models for pest outbreaks, informing crop protection decisions, and enhancing understanding of weather-dependent disease propagation in rice crops across India.
Coverage
The geographical scope of this dataset is India, with observations recorded in specific locations such as Maruteru and Rajendranagar. The data spans a time range from 1959 to 2011, covering all weeks of the year (Standard Week 1 to 52).
License
CC0: Public Domain
Who Can Use It
- Agricultural Scientists and Researchers: To study pest ecology and disease epidemiology in rice.
- Farmers and Agronomists: For informed decision-making regarding crop management and pest control.
- Policymakers: To develop agricultural policies and resource allocation for pest mitigation.
- Climate Change Researchers: To analyse the impact of changing weather patterns on crop health and food security.
- Data Scientists and Analysts: For developing machine learning models to forecast pest and disease outbreaks.
Dataset Name Suggestions
- Indian Rice Crop Pest & Weather Data
- India Rice Disease & Weather Parameters
- Agricultural Pest & Weather Insights for Indian Rice
- Rice Crop Health Data - India Weather Correlates
Attributes
Original Data Source: Indian Rice Crop Pest & Weather Data
QUALITY