Field Efficiency Determination Using Traffic Pattern Indices

Field efficiency is an important criterion for determining field capacity during field operations and, indirectly, for making important machinery management decisions. Geographic location data gathered with a yield monitor during harvest and a data logger during planting were used to provide time−motion studies of equipment and operator productivity. This study used these spatial and temporal data to quantify field performance of a combine and a planter. Seven Nebraska fields were used to compare results from soybean and corn production systems. Fields that were relatively flat with straight rows were contrasted with contoured fields with slopes of 3% to 5%. Two unique traffic patterns in fields with a center pivot were compared. Four traffic pattern indices were developed and averaged across each field to indicate the steering behavior (or adjustments) made during field operations. Geo−referenced data were used to predict field efficiency for various traffic patterns. Of the four indices compared, the average steering angle (θ) and its standard deviation had the strongest association with field efficiency with Pearson correlation coefficients of −0.654 and −0.664, respectively. The average steering angle for contoured traffic patterns were two to four times in magnitude that of straight− and gently curved−row traffic patterns. The steering angle index gave valuable information about field operating conditions but differences in data recording methods and operational characteristics imposed limitations on statistically appropriate comparison analyses

Panuring pampanitikan (PanPam): A sentence syntax and semantic based grammar checker for Filipino

In today content, people use the computer to type articles Filipino articles. Instead of manually checking for errors, a system can check it. One application of Natural Language Processing (NLP) is grammar checking. The general notion is that grammar checkers, by virtue of their name, attempt to locate errors, mark the portion of the text as dubious or erroneous, and give feedback to the users. In connection with this, this research developed a Filipino sentence syntax and semantic checker that was integrated in an open-source word processing tool. Panuring Pampanitikan is a plug-in to OpenOffice.org. Write that enables the said word processor to check for Filipino morphology, syntax and semantics. Testing of syntax checking yielded a recall of 90.47% and precision of 73.07% using 81 sentences. Testing of the spell checking using 350 misspelled words showed that the spell checker can suggest the expected word from misspelled words with one edit distance 99.33% of the time, and 42% of the time for words with two edit distances 350 misspelled words were used in spell check testing. 99% of the 150% misspelled words with one edit distance had the expected word suggestion, while 42% of the 200 misspelled words with two edit distances had the expected word suggestion. Semantic checking has an accuracy score of 80%

Field Efficiency Determination Using Traffic Pattern Indices

Field efficiency is an important criterion for determining field capacity during field operations and, indirectly, for making important machinery management decisions. Geographic location data gathered with a yield monitor during harvest and a data logger during planting were used to provide time−motion studies of equipment and operator productivity. This study used these spatial and temporal data to quantify field performance of a combine and a planter. Seven Nebraska fields were used to compare results from soybean and corn production systems. Fields that were relatively flat with straight rows were contrasted with contoured fields with slopes of 3% to 5%. Two unique traffic patterns in fields with a center pivot were compared. Four traffic pattern indices were developed and averaged across each field to indicate the steering behavior (or adjustments) made during field operations. Geo−referenced data were used to predict field efficiency for various traffic patterns. Of the four indices compared, the average steering angle (θ) and its standard deviation had the strongest association with field efficiency with Pearson correlation coefficients of −0.654 and −0.664, respectively. The average steering angle for contoured traffic patterns were two to four times in magnitude that of straight− and gently curved−row traffic patterns. The steering angle index gave valuable information about field operating conditions but differences in data recording methods and operational characteristics imposed limitations on statistically appropriate comparison analyses