Shiny applications and dashboards in R

A R package for Participatory Plant Breeding statisticial analyses

Online application-tool analyzing agricultural texts by word fequencies, correlation and trends.

R toolbox to download and extract data from the "Agrometeorological indicators from 1979 to present derived from reanalysis" (AgERA5) dataset.

API Client for the 'ClimMob' platform in R

{extractOz}: Get local attribute information from GPS points for Australian agricultural research

This is the companion package to "A Hitchhiker's Guide to Statistics in Biology" by Stephen R. Bowley, Edzard van Santen, Simon Riley, and Ruth Hummel. It provides all the required data sets used in the text's example analyses, facilitates the installation of other packages required for those analyses and provides a few convenience functions, an…

As the population increases, demand for food increases too, which has led to large-scale land conversion to improve livestock production in Colombia. Fulfilling these criteria of increasing demand in a sustainable way is a challenge and remote sensing data provides an accurate method to support this task. In this study, Planet Scope multispectra…

Materials for the capacity building course on analysis of ranking data generated by citizen scientists with the triadic comparison of technology (tricot) approach

A machine learning model for forecasting the Swiss monthly milk price.

Spatial analysis of agricultural land use trends in Illinois with a focus on the Chicagoland area and collar counties in northeastern Illinois.

This repository is for the analysis presented in poster format at the 2020 ASA-CSSA-SSSA Virtual Meeting around social media engagement habits of farmers.

This repository contains data and analytical scripts on the impact of agricultural management practices on carbon sequestration and soil quality in Rio Verde, Goiás. It includes measurements of soil density, organic carbon, and carbon credits from no-till farming systems.

Data and code for replicating the JAFIO paper "Effects of Stock holding policy on Maize Prices: Evidence from Zambia"

This API leverages the power of environmental data—such as air temperature, humidity, and dew point—to predict the likelihood of diseases like Tarspot and Gray Leaf Spot and Spore on crops.

All of the work done in the Applied Plant Breeding and Microbial Biotechnology Lab

Code used in the paper: Crop management for climate adaptation supported by citizen science

Final project for MSBA 5112 (Stats for Business Analytics) at Seattle University. Examining household agricultural profits in Ghana using GLSS4 1998-1999.

Artificial Neural Networks for Irrigation (ANNI): predicting available water capacity (AWC) to optimize irrigation scheduling in vegetable production. Combines MLP, LSTM, and ensemble models with explainable AI techniques.