The Institute for Technology Development, Spectral Visions supports NASA’s Commercial Remote Sensing Program, located at John C. Stennis Space Center in Mississippi, in various areas of agricultural research. During the 1999 growing season, Spectral Visions worked with USDA-ARS researchers and Perthshire Farms to conduct a large-scale spatially-variable insecticide (SVI) research experiment on 1023 acres of cotton in the Mississippi Delta. This experiment was designed to explore the role of remote sensing technology in precision farming to help improve profits and reduce chemical application costs by applying insecticides more efficiently throughout the field. Pesticide applications are one of the greatest costs incurred by a cotton producer. Past research suggests that vibrant cotton plants, as indicated by remotely sensed imagery, provide ideal habitat and are often infested by the tarnished plant bug (Heteroptera: Miridae). In addition, the plant bugs tend to infest cotton plants that are producing first squares and radiate outward as the cotton plants mature and increase in squaring rates. This research utilizes remotely sensed imagery to help identify vibrant cotton plants within a field, produce a SVI prescription (spray-ON or spray-OFF), and apply the prescription through GPS-controlled spray-rig equipment. The 1999 Perthshire Farms experiment resulted in five SVI applications with a 30-40% average reduction of insecticide applied and no negative impacts on yield. In building upon the 1999 results, the team designed a 2050-acre SVI experiment for the 2000 growing season at Perthshire Farms. The results of the Perthshire Farms experiments will be detailed in the following paper. In attempts to replicate this experiment on different geographical locations within the U.S. cotton-belt, a 1000-acre SVI experiment was attempted this year at Hardwick Farms in Newellton, LA. Both experiments utilized SVI and blanket-application fields ranging from 10-200 acres to further test the effectiveness of remote sensing technology to help improve profits through more efficient application of insecticides. However, low plant bug counts at Hardwick Farms negated the SVI experiment during the 2000 season. Even though no actual SVI experiments were conducted at Hardwick Farms, the implementation of the methodology, partnerships formed with the LSU research station scientists, and practical experiences gained will be invaluable for a successful implementation of a 2001 large-scale SVI experiment. The team also began studying spatial relationships within other cotton pests in addition to the tarnished plant bug. Development and implementation of these large-scale experiments produced many challenges throughout the season. These included efficient field scouting and sampling, timeliness of imagery collection, delivery, and turnaround, SVI development and application of prescriptions, GPS and controller communication problems, lead and lag times associated with product mixing and boom application, collection of yield data at harvest, and analysis of results.