• Mississippi State University
• Engineering Research Center
• NASA - Stennis Space Center

• Daniel B. Reynolds
• David R. Shaw

The overall objective is to determine reflectivity patterns for specific weed species under a variety of growth stages and environmental conditions through both aerial and ground-based sensors and to develop the ability to generate species specific weed distribution maps at the whole field level. These weed distribution maps will then be utilized with MSU-Herb to develop herbicide treatment maps. Factors impinging upon this ability (weed density, ground cover, plant residues, physiological effects, nutrition, moisture, and herbicide injury) will also be evaluated in order to develop models encompassing a wide range of possible scenarios.

Crop Type: Cotton, Soybean, Weeds

Study Site: Brooksville, Starkville, Stoneville

• 128 band hyperspectral (visible and near IR)
• 3 band multispectral (visible and near IR)
• ASD radiometers
• GPS ground referenced weed maps

Data will be available for a limited number of species in one to two years. Continued research will be necessary to develop comprehensive spectral libraries of agronomically important weed and crop species.

The ability to detect and map areas in fields containing threshold populations of weeds using remote sensing images is a major step in an efficient, environmentally-friendly integrated pest management program. These capabilities would be of value to crop consultants, farmers, extension and research personnel, and ultimately the general public. Realization of these research objectives would support all three objective of the RSTC. These capabilities would clearly demonstrate the utility and increase the level of understanding of remote sensing technology among crop producers in the state. The models would be modified as needed to increase acceptance and aid in their implementation, and developing them in conjunction with MSU-HERB would facilitate a standardized process for implementation at the farm level.