Authors:

Breana Lavallee

Date Created:

Not specified

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About Paper:

Traditional methods require manual soil or plant sampling for identifying fertilizer nitrogen (N) needs for corn. New technologies are being developed as alternatives to manual sampling. Operational efficiency is a key factor that farmers consider when adopting a new technology. The objective of this study was to evaluate information from three platforms (satellite, drone, and a handheld device) for estimating agronomic optimum nitrogen rates (AONR) for corn during their vegetative period. The specific objectives were to 1) calculate the actual AONR based on corn grain yield, 2) estimate AONR using data from satellite, drone, and handheld device at growth stage V8, 3) identify which platform provided the best estimation, and 4) summarize their advantages and disadvantages in terms of operational efficiency. In order to accomplish this, data from an ongoing Purdue N study conducted in Indiana was used. The field evaluated (60 acres) was composed of 6 N treatments applied immediately after planting and replicated three times. Data collection was completed in 2022 and focused on grain yield, chlorophyll data, multispectral satellite imagery (3m spatial resolution), and drone imagery (0.05m). Data was processed in Rstudio for estimating AONR based on vegetation indices (from satellite and drone platforms) and chlorophyll data (handheld sensor) using Rstudio. Results will be presented at the symposium.

Source:

Purdue University / 2023

Topics:

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Co-authors:

Breana Lavallee