Datasets

subject: Corn

Total is 48 Results
North Dakota Intensive Test Site 0817 (811247)

10.4231/R7PG1PP9

Marvin E. Bauer

07/22/2015

The objective of this experiment was to provide a data set which can be used as an intermediate level of extrapolation between data collected from controlled experimental plots at field research stations and data collection by satellite scanners

Agriculture barley Corn Crop Science Crops durum wheat FSS LARS oats Remote Sensing Soil Science solar illumination Soybeans spectral observations spring wheat sugar beets Sunflower

Agronomic responses of soybean to long-term implementation of tillage and crop rotation systems in Indiana from 1975 to 2022

10.4231/2KQ5-KR50

D R Griffith , Garrett S Verhagen , J V Mannering , Terry D West , Tony J Vyn ORCID logo

02/02/2023

This dataset includes soybean population, heights, grain moisture at harvest, and grain yield measured in the Long-Term Tillage (LTT) study at the Agronomy Center for Research and Education (ACRE) in West Lafayette, IN, USA from 1975 to 2022.

Agronomy chisel-plow conservation tillage Corn crop rotation grain moisture Grain Yield Maize moldboard-plow no-till plant height plant population planting date Purdue University ridge-till Soybean strip-till

Agronomic responses of corn to long-term implementation of tillage and crop rotation systems in the US Corn Belt, from 1975 to 2022

10.4231/E031-BS21

D R Griffith , Garrett Verhagen , J V Mannering , Terry D West , Tony Vyn ORCID logo

02/02/2023

This dataset includes corn population, heights, grain moisture at harvest, and grain yield measured in the Long-Term Tillage (LTT) study at the Agronomy Center for Research and Education (ACRE) in West Lafayette, IN, USA from 1975 to 2022.

Agronomy chisel-plow conservation tillage Corn crop rotation grain moisture Grain Yield Maize moldboard-plow no-till plant height plant population planting date Purdue University ridge-till Soybean strip-till

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

Multi-Species Prediction of Physiological Traits with Hyper-Spectral Modeling

10.4231/FPHP-0153

Meng-yang Lin , Mitchell R Tuinstra ORCID logo

02/11/2022

High-throughput hyperspectral imaging in corn and sorghum can be used in multi-species models to predict water and nitrogen status of plants within and across these crop species.

Abiotic stress Agronomy Corn Ecophysiology High-throughput Phenotyping Machine Learning nitrogen content partial least square regression relative water content Remote Sensing Sorghum

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