Retrieving and processing agro-meteorological data from API-client sources using R software.

ABSTRACT:

Objectives

The main purpose of this publication is to help users (students, researchers, farmers, advisors, etc.) of weather data with agronomic purposes (e.g. crop yield forecast) to retrieve and process gridded weather data from different Application Programming Interfaces (API client) sources using R software.

Data description

This publication consists of a code-tutorial developed in R that is part of the data-curation process from numerous research projects carried out by the Ciampitti's Lab, Department of Agronomy, Kansas State University. We make use of three weather databases for which specific libraries were developed in R language: (i) DAYMET (Thornton et al. in https://daymet.ornl.gov/ , 2019; https://github.com/bluegreen-labs/daymetr ), (ii) NASA-POWER (Sparks in

SUBMITTER: Correndo AA 

PROVIDER: S-EPMC8157746 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature