(RDA, 2015; Statistical Manual, 2015). 정부에서는 농 약의 오남용을 방지하고 안전한 농산물을 생산하기 위한 일환으로 농약이 등록된 후에 농업현장에서의 사용실태 및 주요 작물의 단위면적당 농약사용량을 4년 주기로 조사하 고 있다. 농약 사용량에 대한 조사 순서는 1년차 과채류, 2년차 과 ABSTRACT. In order to investigate actual pesticide usage, this survey was carried out with farmers growing four crop groups, leaf vegetables, fruit vegetables, fruits, and rice from 2012 to 2015. Five hundred sixty farmers were selected in main crop production areas and were asked about their pesticide uses during the growing season. Investigations on pesticide damages to crop in recent 5 years showed that fruit vegetables had the highest proportion of damage at 14%, followed by rice at 11%, orchards at 11%, and leaf vegetables at 8%. Compared to the results of a pilot study which took place from 2009 to 2011, fruit vegetable damage increased by 4% while damage to rice and orchards decreased by 7-9%. This means continuous education on mixed spraying, usage methods, and precaution is required. In the survey on the safety guidelines for pesticide use, 6 items were well observed (89.0-95.0%), but one item for use of protective gear had the lowest observance (81.7%). A measure for protective gear for poisoning prevention is required. The survey of pesticide usage per area (kg a.i. ha ) showed that 1.65, 4.93, 10.98, and 3.16 kg a.i. ha −1 of pesticides were applied to leaf vegetables (6 species), fruit vegetables (6 species), fruits (6 species), and rice, respectively, which decreased from the usage reported in the pilot study. This change was likely caused by more effective pesticides and fewer pest outbreaks; therefore, shipments of pesticides have been decreasing. In the case of paddy rice herbicides, 43 products, including butachlor, were used for 1.3 kg ha −1. Herbicides represent 44% of pesticides used in paddy rice.

This study has been conducted to verify the applicability of FT-NIR (Fourier Transform Near Infrared) to prove coidentity between market agrochemical products and registered prescriptions. The spectrum correlations were investigated on 83 registered samples and there market products, 23 products which had same formulation and active ingredients and 68 products which had different active ingredients. In 83 samples/products, the primary differentiated spectrum correlation values were 95.86~100%, which mean that all samples qualified over 95% threshold. In 23 products which had same active ingredients and formulations, correlation values were 29.09~99.83%. 3 products over 99.0% were proved to have same active/ inert ingredients and formulations although they're from different manufacturers. The rest products except the 3 items were under 95%. In 68 products had different active ingredients, correlation values varied from 2.00% to 93.70%. Higher correlation is supposed to come from similarity of inert ingredients despite different active ingredients. They can be decided to unqualify under 95% threshold. So applicability of FT-NIR has been verified on qualitative distinction of coidentity between registered market agrochemicals.