Robert (Bobby) Grisso

Professor & Extension Engineer
Biological Systems Engineering

Office: 211 Seitz Hall
Blacksburg, VA 24061
(540) 231-6538
email: rgrisso@vt.edu

Research:
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News, Pubs, Extension, Teaching, Research

Using Spatial Data for Decision Support:

This project is taking spatial data that farmers have taken during yield monitoring and other machinery activitues and mining the data for potential productivity improvements during machinery operations. The first approach was to use the geo-referenced data and time sequenced informarion to determine actual field efficiency of a combine and planter. Turn time, unload and other service related frequencies and timing was studied and field efficiency maps were developed for different fields. The contoured traffic pattern fields took more time and were less efficient than the same machinery operating flat-straight rows fields. (See Applied Engineering in Ag Paper)

The second project is using steering rate data to review the difference of traffic patterns in the contoured and straight-traffic patterns. The goal would be to predict the field efficiency differences of fields with different traffic patterns and thereby give a economic value for traffic patterns experienced. (See ASAE Paper

Gear-Up and Throttle-Down Practices

GUTD has been a proven pratice to save fuel from tractors that are at partial power during field operations. The Nebraska Tractor Test data has a wealth of data for such analysis and is a great database for individual tractor and engine configurations. This project is reviewing the relationships of fuel usage and engine speed reductions to establish predictive relationships for using the GUTD practices. (See ASAE Paper)

Using Electrical Conductivity to Establish Management Zone in Coastal Piedmont Soils.

Electrical conductivity has been showed to be correlated to soil texture, organic matter and salinity issues. The project goal is to use a Veris cart, which measures EC, and with other data such as aerial photo's and soils maps to establish management zones from geo-referenced data. From these management zones and EC reading adjust the yield potential and the other agronomic inputs to maximize the economic return for each management zone.

Using the Electrical Conductivity Cart as a Draft Predictor.

The Veris cart is equipped with 6 smooth coulters used to measure EC. The draft from this cart has shown promise as reference implement to predict tillage draft of other tillage devices. Since the EC is correlated to soil texture, there is potential to also gather tillage draft data on a geo-referenced basis. This could be used to assess the potential tillage energy differences and could be additional information for profitability mapping on a site-specific basis. (See ASAE Paper)

News, Pubs, Extension, Teaching, Research

 
 
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