Exploring rates and timing of new agricultural practices with the ADOPT tool

This dataset contains data from 22 peer reviewed studies and white papers (117 observations), representing 43 countries, that used the Adoption Diffusion Outcome Prediction Tool (ADOPT) to predict the adoption and diffusion of agricultural innovations between 2014 and 2022. The dataset reports predicted peak adoption rate (PPAR (%)) and predicted time to peak adoption (PTTP (years)) of various agricultural innovations/practices. The agricultural practices from each paper are categorized under 6 broad types: technological, new cropping system, new crop/variety, management inputs, improved livestock genetics, conservation. Motivation for practice adoption is also recorded in the dataset. Motivation for adoption was typically explicitly reported in the papers; however, if it was not, two members of the research team independently classified the practice into one (or more) of the three motivation categories (motivation was inferred for four of the 22 studies) and then discussed and rec..., , # Exploring rates and timing of new agricultural practices with the ADOPT tool

Dataset DOI: [10.5061/dryad.sbcc2frm1](https://doi.org/10.5061/dryad.sbcc2frm1)

## Description of the data and file structure

### Files and variables

#### File: ADOPT_database_FOR_SUBMISSION.xlsx

**Description:** 

This dataset contains data from 22 peer reviewed studies and white papers (117 observations), representing 43 countries, that used the Adoption Diffusion Outcome Prediction Tool (ADOPT) to predict the adoption and diffusion of agricultural innovations between 2014 and 2022.

##### Variables

Note: Any missing values are indicated as \"NA\"

| Column name | **Description** |
| :----------------------- | :--------------------------------...,