Datasets

subject: Corn

Total is 49 Results
Purdue Agronomy Farm Corn Solar Radiation Intercepted (SRI) (831805)

10.4231/R7V122QR

Craig S. T. Daughtry

07/27/2015

The overall objectives of this research are the identification and measurement of corn crop canopy variables which are related to crop growth and final yield and relationships between those variables and remotely sensed canopy spectral reflectance.

Agriculture Barnes 12-1000 Corn Crop Science Crops Exotech 100 LARS radiometer Remote Sensing solar illumination spectral observations

Purdue Agronomy Farm Corn Solar Radiation Intercepted (SRI) (841805)

10.4231/R7B27S7R

Kevin P. Gallo

07/28/2015

The objectives of this research are 1) the identification and measurement of corn crop canopy variables, 2) development of relationships between identified variables, and 3) development and testing of methods in corn crop yield models

Agriculture Barnes 12-1000 Corn Crop Science Crops Exotech 100 LARS radiometer Remote Sensing Soil Science solar illumination spectral observations

Southeast Purdue Agricultural Center (SEPAC) drainage research data, 1984-2020

10.4231/CTM1-0Y45

Eileen J Kladivko ORCID logo , Giorgi Chighladze ORCID logo , Laura C Bowling ORCID logo , Lori Abendroth ORCID logo

12/16/2022

This dataset contains research data obtained during a long-term subsurface drainage research project conducted at the Southeast Purdue Agricultural Center in Jennings County, Indiana, from 1984 to 2020.

Agronomy Corn Crop yield Drainage Indiana

Implementing IPM: effects on pests, pollinators, and crop yield

10.4231/4DQF-3G13

Ian Kaplan ORCID logo , Jacob Pecenka

08/04/2021

Data on pesticide use, insect pests, pollinators, and crop yield across multiple years in a multi-crop agroecosystem.

agroecosystems Bees Corn Crop yield Entomology Environmental Issues Insecticides Melons pesticides pollinators

Model Code for: Quantifying the Impacts of Compound Extremes on Agriculture and Irrigation Water Demand

10.4231/Q07D-J369

Danielle Grogan , Iman Haqiqi ORCID logo , Thomas Hertel , Wolfram Schlenker

06/08/2020

This Stata code estimates a model to investigate the impacts of compound extremes, water stress, and heat stress on crop yields. It requires "soilMoistureData.dta".

Agricultural Economics climate impacts compound extremes Corn heat stress water stress

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