Robotic agricultural instrument for automated extraction of nematode cysts and eggs from soil to improve integrated pest management.
Robotic agricultural instrument for automated extraction of nematode cysts and eggs from soil to improve integrated pest management.
复制标题
用于从土壤中自动提取线虫包囊和虫卵的机器人农业仪器，以改进病虫害综合管理。
DOI：
10.1038/s41598-021-82261-w
复制
发表时间：
2021-02-05
影响因子：
4.6
通讯作者：
Pandey S
中科院分区：
文献类型：
--
作者：
Legner CM;Tylka GL;Pandey S
蚕豆是全球粮食安全的重要作物。每年，许多大豆病害，特别是大豆胞囊线虫（SCN），都会降低大豆产量。由于没有明显的地上病害症状，很难在田间视觉上识别SCN的存在，更不用说其种群密度或数量了。评估SCN种群密度的唯一确定方法是直接从土壤中提取SCN孢囊，然后从孢囊中提取卵并计数。提取通常在商业土壤分析实验室和大学植物诊断诊所进行，并涉及筛分，洗涤，收集，研磨和清洁的重复步骤。在这里，我们提出了一个机器人仪器再现和自动化的功能，传统的方法，从土壤中提取线虫包囊，随后从回收的线虫包囊中提取卵。我们采用了一些机制来驱动载物台系统，使用夹具操纵各个筛子的位置，从悬浮在水中的土壤中回收孢囊和孢囊大小的物体，并研磨孢囊以释放它们的卵。所有系统功能都由触摸屏界面软件控制和操作。机器人仪器的性能进行了评估，使用土壤样品与SCN侵染从两个农场在不同的位置和结果与传统的技术。我们的新技术为SCN土壤诊断带来了自动化的好处，这是朝着这种严重的大豆害虫的长期综合害虫管理迈出的一步。
Soybeans are an important crop for global food security. Every year, soybean yields are reduced by numerous soybean diseases, particularly the soybean cyst nematode (SCN). It is difficult to visually identify the presence of SCN in the field, let alone its population densities or numbers, as there are no obvious aboveground disease symptoms. The only definitive way to assess SCN population densities is to directly extract the SCN cysts from soil and then extract the eggs from cysts and count them. Extraction is typically conducted in commercial soil analysis laboratories and university plant diagnostic clinics and involves repeated steps of sieving, washing, collecting, grinding, and cleaning. Here we present a robotic instrument to reproduce and automate the functions of the conventional methods to extract nematode cysts from soil and subsequently extract eggs from the recovered nematode cysts. We incorporated mechanisms to actuate the stage system, manipulate positions of individual sieves using the gripper, recover cysts and cyst-sized objects from soil suspended in water, and grind the cysts to release their eggs. All system functions are controlled and operated by a touchscreen interface software. The performance of the robotic instrument is evaluated using soil samples infested with SCN from two farms at different locations and results were comparable to the conventional technique. Our new technology brings the benefits of automation to SCN soil diagnostics, a step towards long-term integrated pest management of this serious soybean pest.
登录
查看更多内容
影响因子：
6.7
作者：
Juvale PS;Baum TJ
通讯作者：
Baum TJ
影响因子：
3.7
作者：
Kalwa, Upender;Legner, Christopher;Pandey, Santosh
通讯作者：
Pandey, Santosh
影响因子：
2.8
作者：
GERDEMANN, JW
通讯作者：
GERDEMANN, JW
影响因子：
3.2
作者：
Contina, J. B.;Dandurand, L. M.;Knudsen, G. R.
通讯作者：
Knudsen, G. R.
氟吡菌酰胺对中国番茄生产中南方根结线虫防治的评价
影响因子：
2.8
作者：
Ji, Xiaoxue;Li, Jingjing;Qiao, Kang
通讯作者：
Qiao, Kang