Name: Crop Yield Prediction Dataset
Creator: Kaggle
License: https://datacatalog.worldbank.org/public-licenses

About this Dataset

Crop Yield Prediction Dataset

Context

The science of training machines to learn and produce models for future predictions is widely used, and not for nothing. Agriculture plays a critical role in the global economy. With the continuing expansion of the human population understanding worldwide crop yield is central to addressing food security challenges and reducing the impacts of climate change.

Crop yield prediction is an important agricultural problem. The Agricultural yield primarily depends on weather conditions (rain, temperature, etc), pesticides and accurate information about history of crop yield is an important thing for making decisions related to agricultural risk management and future predictions.

Acknowledgements

All dataset(publicly available dataset) here are taken form FAO (Food and Agriculture Organization) and World Data Bank.
http://www.fao.org/home/en/
https://data.worldbank.org/

Tables

Pesticides

@kaggle.patelris_crop_yield_prediction_dataset.pesticides

27.67 KB
4349 rows
7 columns


CREATE TABLE pesticides (
  "domain" VARCHAR,
  "area" VARCHAR,
  "element" VARCHAR,
  "item" VARCHAR,
  "year" BIGINT,
  "unit" VARCHAR,
  "value" DOUBLE
);

Rainfall

@kaggle.patelris_crop_yield_prediction_dataset.rainfall

7.2 KB
6727 rows
3 columns


CREATE TABLE rainfall (
  "n__area" VARCHAR,
  "year" BIGINT,
  "average_rain_fall_mm_per_year" VARCHAR
);

Temp

@kaggle.patelris_crop_yield_prediction_dataset.temp

133.04 KB
71311 rows
3 columns


CREATE TABLE temp (
  "year" BIGINT,
  "country" VARCHAR,
  "avg_temp" DOUBLE
);

Yield

@kaggle.patelris_crop_yield_prediction_dataset.yield

297.56 KB
56717 rows
12 columns


CREATE TABLE yield (
  "domain_code" VARCHAR,
  "domain" VARCHAR,
  "area_code" BIGINT,
  "area" VARCHAR,
  "element_code" BIGINT,
  "element" VARCHAR,
  "item_code" BIGINT,
  "item" VARCHAR,
  "year_code" BIGINT,
  "year" BIGINT,
  "unit" VARCHAR,
  "value" BIGINT
);

Yield Df

@kaggle.patelris_crop_yield_prediction_dataset.yield_df

314.17 KB
28242 rows
8 columns


CREATE TABLE yield_df (
  "unnamed_0" BIGINT,
  "area" VARCHAR,
  "item" VARCHAR,
  "year" BIGINT,
  "hg_ha_yield" BIGINT,
  "average_rain_fall_mm_per_year" DOUBLE,
  "pesticides_tonnes" DOUBLE,
  "avg_temp" DOUBLE
);