Project Search
Since its inception in 2004, CIG has funded hundreds of projects, boosting natural resource conservation while helping producers improve the health of their operations for the future. Use this tool to search for CIG projects based on any of the criteria listed below.
CIG projects from 2004-2009 may be missing information in the following categories: Resource Concern (specific), Conservation Practice, Production/Use.
Showing 391 - 400 of 1802 projects
O'Donal's Acquisition Company, LLC
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ME
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2017
Demonstrate that greenhouse heat loss can be significantly reduced with a well-designed energy efficient greenhouse.
Newberry SWCD
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SC
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2017
This project proposed developing 3 soil health teams to provide outreach and education throughout South Carolina.
New Mexico State University
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NM
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2017
Evaluate the effects of changes to corn row spacing and corn stubble height on soil health and soil erosion levels.
Montclair University
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NJ
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2017
This project intends to develop innovative and sustainable strategies for addressing agricultural stormwater-induced impacts on environmental systems. This project will also provide a scientific basis for the utilization of innovative low-cost adsorbent-coated wood mulches for retention of multiple contaminants from agricultural stormwater.
Michigan Technological University
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MI
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2017
Evaluate and demonstrate four types of forest road surfacing methods/materials to protect soil and water resources in an actively managed forest.
Michigan State University
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MI
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2017
A multidisciplinary team of an outreach specialist, web developers, and key agricultural stakeholder groups set out to produce a Computer Assisted Nutrient Management Planning Program (CANMaPP) on-line tool to streamline and document nutrient management planning in Michigan.
Methodist Services
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PA
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2017
This project grew the mushroom Stropharia Rugosoannulata over woodchips coming from the landscape industry in Philadelphia to decompose in short term. Mushrooms were harvested and organic matter produced used as amendment for vegetable production.
EcoTrust
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OR
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2017
The goals are to enhance the toolkit for engaging landowners in stewardship planning and accelerate landowner adoption of conservation practices. Our objectives are to demonstrate, replicate, and disseminate methods and supporting materials for integrating high-resolution remote sensing (LIDAR imagery) —particularly publicly-available LIDAR—with new mobile inventory technologies to deliver rapid assessments of family forest properties.
Connecticut Resource Conservation Development Area
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CT
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2017
Project objectives included the creation of a pilot project in CT with two hubs or locations where purchased equipment was to be housed by a hosting farm and used cooperatively by the farms in the surrounding area. The primary area of consideration was Soil Health. This is due in part because of CT RC&D's experience in managing the Soil Health Initiative in partnership with USDA NRCS since February 2011 and because of the interest from farms who want to do soil health using organic methods. The concept of using equipment attachments to a tractor or four wheeler rather than using pesticides is nothing new, however it is underutilized in Connecticut. By implementing this pilot project CT RC&D allowed more agricultural producers to implement no-till and cover crop on their farms, increasing soil health. That project had an additional goal of reducing the use of herbicides and the runoff from them to the surrounding water systems. With two hubs of equipment usage it allowed other types of producers to see the equipment in action and be better informed about implementing such type equipment at their farm of similar or larger size.
White River Irrigation District
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AR
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2017
To develop, test and validate an Internet of Agriculture (IoAg) Network and Service Platform that will provide precision agricultural data to enable farmers to increase crop yield, minimize cost, reduce water usage, and improve conservation of natural resources and environment. The primary work will be accomplished in the Grand Prairie Region of Arkansas where an extensive amount of work and investment has been made in automating on-farm data acquisition, data transfer, and control systems. One common problem with all data sensors is the communication and data transfer system that is either expensive and/or not compatible with other systems making it difficult for growers or organizations to collect and utilize field resource data critical to their operation.