Robotic Crop Assessment
{'Code': '15030000', 'Directorate': {'Abbreviation': 'TIP', 'LongName': 'Dir for Tech, Innovation, & Partnerships'}, 'Division': {'Abbreviation': 'TI', 'LongName': 'Translational Impacts'}}
{'SignBlockName': 'Ritchie B. Coryell', 'PO_EMAI': None, 'PO_PHON': None}
An automated crop assessment method based upon a photo-diode array              sensor and a micro-computer analyzer is examined.  This method exploits         the visual damage patterns, from biological infestations, found on the          leaves of the crop.  Current techniques take a leaf sample along a              field diagonal for laboratory analysis, after a problem is determined.          This method, because of its reliance upon the farmer visually detecting         crop damage, gives pathogens a change to become established.  Once              established, the extensive use of expansive wide area fungicides,               herbicides, and pesticides is required to eradicate the pathogen.  The          fungus Verticillium Albo-atrum will be used because of its                      well-documented effects on leaves and its ease-of-handling.                     Objectivess are (1) to determine the ability of an automated sensor to          detect Verticillium Albo-atrum, (2) to determine the automated sensors'         resolution requirements; and (3) to determine the sensors performance           in relation to human beings.
{'FirstName': 'Kevin', 'LastName': 'Howard', 'PI_MID_INIT': 'D', 'PI_SUFX_NAME': None, 'PI_FULL_NAME': 'Kevin D Howard', 'EmailAddress': None, 'PI_PHON': None, 'NSF_ID': '000472459', 'StartDate': '02/01/1986', 'EndDate': None, 'RoleCode': 'Principal Investigator'}
{'Name': 'K D Howard Enterprises Inc', 'CityName': 'Valencia', 'ZipCode': '913553064', 'PhoneNumber': '8052544911', 'StreetAddress': '23515 Lyons Ave., #274', 'StreetAddress2': None, 'CountryName': 'United States', 'StateName': 'California', 'StateCode': 'CA', 'CONGRESSDISTRICT': '25', 'CONGRESS_DISTRICT_ORG': 'CA25', 'ORG_UEI_NUM': None, 'ORG_LGL_BUS_NAME': None, 'ORG_PRNT_UEI_NUM': None}
{'Name': None, 'CityName': None, 'StateCode': None, 'ZipCode': None, 'StreetAddress': None, 'CountryCode': None, 'CountryName': None, 'StateName': None, 'CountryFlag': None, 'CONGRESSDISTRICT': None, 'CONGRESS_DISTRICT_PERF': '""'}
{'Code': '5371', 'Text': 'SBIR Phase I'}
{'url': 'https://www.nsf.gov/awardsearch/download?DownloadFileName=1985&All=true', 'xml': '8560873.xml'}