Rice seeds vigor through image processing of seedlings

ABSTRACT: The aim of this paper was to verify the viability of digital image processing in the measurement of rice seedling and its potential use as seed vigor test. The experiment took place at the Laboratório Didático de Análise de Sementes, located in Capão do Leão (RS), using seeds of eight rice cultivars: Irga 424, Puitá Inta CL, BRS Esmeralda, SCS 116, Guri Inta CL, BRS Pampa, BRSGO Serra Dourada and Olimar. An image processing system (IPS) was used to measure length and area of shoot and root as an index of seed vigor in rice seeds. The experiment design was completely randomized with five replications. The evaluated variables were root and shoot length in graded ruler and by image, root and shoot area, and field emergence. Results obtained with the IPS were correlated with other quality tests though the Pearson tests. Determination of shoot length and leaf area of the seedlings obtained through IPS is effective for assessing the vigor of rice seeds.

摘要：本研究旨在验证数字图像处理技术应用于水稻幼苗测量的可行性，以及其作为种子活力检测方法的潜在价值。本实验于位于巴西南里奥格兰德州（RS）卡庞杜莱昂（Capão do Leão）的种子分析教学实验室（Laboratório Didático de Análise de Sementes）开展，供试材料为8个水稻品种的种子：Irga 424、Puitá Inta CL、BRS Esmeralda、SCS 116、Guri Inta CL、BRS Pampa、BRSGO Serra Dourada及Olimar。本研究采用图像处理系统（Image Processing System，IPS）测定水稻幼苗地上部与根系的长度及面积，以此作为水稻种子活力的评价指标。实验采用完全随机设计，设置5次重复。本次评估的变量包括：刻度直尺法与图像分析法测得的根系及地上部长度、根系及地上部面积，以及田间出苗率。通过Pearson相关性检验，将图像处理系统所得结果与其他种子品质检测结果进行相关性分析。通过图像处理系统测定水稻幼苗的地上部长度与叶面积，可有效评估水稻种子活力。