Thailand is an agricultural country. Most of the population consists of farmer. The rice is suitable to the climate of the country. And the main export of Thai is rice. The preparation of grain is also important.The farmer have to has an experience to choose the grain for growing the rice in farm. Good grian will give the high product. And good grain should completely free from contamination of disease and insect. Then it will be healthy seedlings. It is easy to harvest crops in a very high quality. Even it has good and high quality but it still has in impurities in the seed. Then the idea to create a project of sorting impurities from seeds. From the first it was built to help farmers to separate impurities such as grasses and husks. But the problem is the size of the maching is 140 x 150 x 160 cm which is larg and heavy then it makes the inconvenient to move. The preparation of the project is to develop an interest in sorting impurities in grain. The objective is to reduce the size to a smaller size than before. And increase the work more efficiency. The main aim is to sorting impurities in grain. Preparing the rice and put into the machin when power is opened. Rice will be flowing through the sieve which it works as a distribution and contamination. Then it will fail down into the sorting room. Impurities will be removed and the wind from the fan will blow the seeds. So we will get the good product and high quality. The results of the test. Wind is the best performance of the machine. Separating rice grains is 5.4 meters per second. The test of separating of the rice grains in 5 times and in the test of the 10 20 30 40 and 50 kg with a mixture of 10 percent of husk. the most effective of sorting rice is 10 kg. It can be isolated 99.30 percent with in 1.23 minutes.

This research has objectives to study about production process of four types of processed food product to study quality of processed food from pineapple Study the survey of consumer behavior of products made from pineapples that consumers like to eat if chopped chopped and processed into products that are already on the market. The top 3 are pineapple snacks (average 4.57) rice crackers (average 4.30). And flavored pineapple sheets (average 4.20) respectively. Study the processing process of pineapple from consumer product survey results. Pineapple pulp adds 40% in the ingredients of cracker products. The tasters give the most acceptance for their appearance color smell taste texture and overall liking. With an average of 8.10 8.83 7.95 8.03 7.95 and 8.00 respectively. Pineapple pulp replaced 100% banana juice. The tasters were the most accepted in terms of appearance color aroma taste texture and overall liking. The average values are 8.45 8.48 7.98 8.20 8.23 and 8.38 respectively. The optimum temperature and time for chopping and drying are temperatures at 90 degrees Celsius for 4 hours. Most respected in terms of appearance color smell taste texture and overall liking. With an average of 8.05 7.95 8.18 7.98 7.95 and 7.95 respectively. Study of chemical quality And physical quality of processed food products from pineapples Cracker products found that the quality of cracker chemistry Formula with the most moisture is as follows: Formula 3 (40%) Grams 3.30% Moisture Formula 2 (30%) Fat 21.37% Formula 3 (40%) crude fiber 8.38% Formula 1 (20%) Ash 2.00 percent Formula 2 (30%) Protein 2.03 percent as for physical quality brightness (L *) Formula 1 (20%) grams has the highest value 63.53 red (a *) and yellow (b *) Formula 3 (40%) grams has the highest values of 3.14 and 15.66. Pineapple pulp replaces some bananas by water. A pulp of banana pineapple replacement parts. The highest values are as follows: Formula 2 (30%) grams Moisture 54.01 percent Formula 1 (20%) grams Fat 0.35 percent Fat fiber 2.56 percent Ash 0.57 percent Formula 2 (30%) grams Protein 3.93 percent In physical quality the brightness (L *) formula 2 (30%) grams had the highest value 69.75 thered (a *) and the yellow (b *) formula 3 (40%) grams was very high. -1.61 and 12.67 dried seasoned pineapples The highest values are as follows: Formula 1 (20%) grams Moisture 8.02 percent Formula 3 (40%) Fat 0.68 percent Formula 2 (30%) grams Fiber 12.34 percent Formula 1 (20%) grams Ash 9.49 percent and 8.84 percent protein while the physical quality showed that the brightness (L *) formula 1 (20%) grams had the highest value 80.03 the red color (a *) had the highest value 9.24 and the yellow color ( b *) Formula 1 (20%) grams has the highest value. 24.76 Study consumer tests that affect In products processed pineapple Cracker products Consumers are satisfied with the product of cracker. At a medium liking level By giving a feeling to the product characteristics in appearance color smell smell and taste At a medium level Pineapple snack products At a medium liking level By giving a feeling to the product characteristics in appearance color smell smell and taste At a medium level Dehydrated Pineapple Products At a medium liking level By giving a feeling to the product characteristics in appearance color smell smell and taste At a medium level

The purpose of this research was to construct the appropriate forecasting model for the prices of field corn in Thailand using four time series analysis methods including Box-Jenkins method Holt’s exponential smoothing method damped trend exponential smoothing method and combined forecasting method. Time series data from the website of the Office of Agricultural Economics with total 227 months during January 1997 to November 2015 are used and divided into two series. The first 216 months from January 1997 until December 2014 used to build the forecasting models and the last 11 months from January until November 2015 used to compare the forecasting methods accuracies via the criteria of the lowest mean absolute percentage error and root mean squared error. Research finding indicated that combined forecasting model was the most accurate.

The study aimed to the cause of becoming in-debt of farmers to study the ways of debt solutions and to study the sustainable way to solve the debt problem of farmers at Thung Kula Rong Hai Plain. The researcher employs the mixed research methods. A sample of 400 people was surveyed by answering a questionnaire. The simple random sampling method was employed in selecting the Subjects Both descriptive statistics: Frequency percentage. 40 people from the sample group were interviewed to provide indepth information. The research interviewed selected farmers from four provinces at Thung Kula Rong Hai Plain using constructed questionnaires. Focus group interviewing also conducted with selected farmers and their community leaders from the same provinces. The research found that most of the farmers agreed that the project could solve and improve the debt problem; and enhance strenuous community. However there were some problems in management process for unclear objectives and procedure and lack of continuous evaluation.