Applied Agricultural Solutions
From the Lab to the Field
Generate innovative research-based technological solutions to agricultural problems to improve productivity, efficiency, and economic outcomes while lowering environmental risk
CORNELL FIELD CROPS NEWS:
New Alfalfa-Grass NDF Estimation Tool for Smart Phones
CORNELL FIELD CROPS NEWS:
Abnormal Alfalfa Growth
NORTHERN NEW YORK AGRICULTURAL DEVELOPMENT PROGRAM:
Forage Science & Artificial Intelligence
NY Researchers Pioneer Field Assessment/Management tool
Alfalfa Grass Spring Harvest Management Webapp
The system is now online for use by farmers, researchers, consultants, and extension educators in New York.
Pure grass tool is based on Parsons et al. (2012).
Image grass fraction estimator in the alfalfa-grass tool is based on an advanced version (multi-year, multi-species, multi-camera) of McRoberts et al. (2016).
Over-Wintered Cover Crop Application: coming soon…
Spring forage harvest management in New York State
McRoberts, K.C., Benson, B.M., Mudrak, E.L., Parsons, D., and Cherney, D.J.R. 2016. Application of local binary patterns in digital images to estimate botanical composition in mixed alfalfa–grass fields. Comput Electron Agric.123: 95-103.
Manuscript details the method we applied to estimate botanical composition in mixed fields of alfalfa and grass. An advanced version has now been built into a webapp for use by farmers.
Parsons, D., McRoberts, K., Cherney, J.H., Cherney, D.J.R., Bosworth, S., and Jimenez-Serrano, F. 2012. Preharvest neutral detergent fiber concentration of temperate perennial grasses as influenced by stubble height. Crop Sci. 52(2): 923-931.
Development of regression equations to predict neutral detergent fiber concentration and dry matter loss with varying harvest stubble height for spring grasses.
Conference proceedings and extension articles
McRoberts, K.C., and Cherney, D.J.R. 2014. Quality estimation for harvests in mixed alfalfa-grass stands. The Manager. February 2014.
McRoberts, K.C., Cherney, J.H., Benson, B.M., and Cherney, D.J.R. 2012. Reducing farmer uncertainty in spring forage harvests: Digital image analysis and artificial intelligence to predict alfalfa-grass stand composition. Poster presentation of abstract at American Society of Agronomy Joint International Annual Meetings, Cincinnati, OH.
McRoberts, K.C., Cherney, J.H., Benson, B.M., and Cherney, D.J.R. 2012. Image recognition to predict alfalfa-grass stand composition. Oral presentation of abstract at 2012 Joint North American Alfalfa Improvement, Trifolium, & Grass Breeders Conference, Ithaca, NY.
USDA NE SARE Grant
Over-Wintered Cover Crop Harvest Management
McRoberts, K.C., Ketterings, Q.M., Benson, B.M., Ort, S., and Godwin, G. 2013. Estimating accumulated biomass and nitrogen pools in over-wintered cover crops: digital image analysis versus manual sampling. Poster presentation of abstract at ASA Annual Meetings, Tampa, FL.
Estimation of gray leaf spot lesion dimensions in infected corn leaves from scanned images
Benson J.M., Poland J.A., Benson B.M., Stromberg E.L., and Nelson R.J. 2015. Resistance to gray leaf spot of maize: genetic architecture and mechanisms elucidated through nested association mapping and near-isogenic line analysis. PLoS Genet. 11:e1005045.
Leaf fungal lesion detection imaging technology is part of methods.