Image analysis – Applications – Animal – plant – or food inspection
Patent
1993-12-07
1998-06-09
Boudreau, Leo
Image analysis
Applications
Animal, plant, or food inspection
382286, 348144, 47 58, G06K 900, A01C 100
Patent
active
057648190
ABSTRACT:
Methods for classifying plants by remote sensing and image analysis technology are presented. These methods are useful for evaluating plants and for selecting plants for a plant breeding program which has as its goal to selectively alter phenotype. The methods combine the newer techniques of remote sensing technology to obtain indirect correlates of the traits of interest, with classical pedigree breeding strategies. Thermal and infrared reflectance measures of plant canopies are examples of energy values measured by remote sensing, used to indirectly predict the selected traits.
REFERENCES:
patent: 3752914 (1973-08-01), England et al.
patent: 3978324 (1976-08-01), Royner
patent: 4015366 (1977-04-01), Hall, III
patent: 4227211 (1980-10-01), Disbrow
patent: 5253302 (1993-10-01), Massen
Hatfield, Phytopathology, 80(1):37-39, 1990.
Jia et al., SPIE Optics in Agriculture, 1379:246-253, 1990.
Everitt et al., Remote Sensing of Environment, 22:423-428, 1987.
Johannsen & Ranson, Proceedings of the Workshop on Aflatoxin in Maize, El Batan, Mexico, Apr. 7-11, 1986, pp. 110-118.
Dialog search report.
Blum et al, "IR Thermal Sensing of Plant Canopies as a screening technique for dehydration avoidance in wheat" 1982, abstract.
Johnson G. Richard
O'Brien James V.
Orr Peter M.
Warner David C.
Boudreau Leo
Dekalb Genetics Corporation
Kelley Chris
LandOfFree
Methods for classifying plants for evaluation and breeding progr does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Methods for classifying plants for evaluation and breeding progr, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Methods for classifying plants for evaluation and breeding progr will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2211377