CN112021052A - 一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法 - Google Patents

一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法 Download PDF

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CN112021052A
CN112021052A CN202010981688.1A CN202010981688A CN112021052A CN 112021052 A CN112021052 A CN 112021052A CN 202010981688 A CN202010981688 A CN 202010981688A CN 112021052 A CN112021052 A CN 112021052A
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刘中芳
高越
张鹏九
杨静
聂园军
郭瑞峰
牛国飞
卫振和
樊建斌
范仁俊
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Abstract

本发明涉及农业虫害防治技术领域,具体涉及一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,该方法基于丁子香酚、苦参碱、除虫菊素、氨基寡糖素、中华通草蛉联合防控果树山楂叶螨;通过人工栽种紫花苜蓿,在苹果园内形成紫花苜蓿与自然生草相结合的混合生草模式,为天敌提供食物和栖息场所,然后基于果树山楂叶螨发生程度的评估结果及当前对应的果园内中华通草蛉数量进行化学药剂的用法用量和待释放中华通草蛉数量的规划,从而使得果园内的中华通草蛉数量能始终处于一个较为合理的水平,达到持续控制害虫危害的目的,大大的减少了化学农药的使用量。

Description

一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的 方法
技术领域
本发明涉及农业虫害防治技术领域,具体涉及一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法。
背景技术
山楂叶螨是我国落叶果树的主要害螨之一,在我国北方苹果园中危害尤为严重,为果园生产中的主要害螨之一。
目前,对于山楂叶螨的防治主要是采用化学农药进行喷杀,但是长期不合理地使用农药,不仅造成环境污染,导致害螨再猖撅,而且可使害螨产生抗药性,降低其对药物的敏感度;另外,大量喷施化学农药还会造成果品农残超标,影响食用者的身体健康。
发明内容
为解决上述问题,本发明提供了一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,在可以实现苹果园山楂叶螨控制的同时,大大的减少了化学农药的使用量。
为实现上述目的,本发明采取的技术方案为:
一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,该方法基于丁子香酚、苦参碱、除虫菊素、氨基寡糖素、中华通草蛉联合防控果树山楂叶螨。
进一步地,所述丁子香酚、苦参碱、除虫菊素、氨基寡糖素的质量比为1:0.6:3:1,使用时,需与水复配,复配所得的杀虫剂中按质量百分比计,含1.8%的除虫菊素。
进一步地,具体包括如下步骤:
S1、在果树行间隔一行种植紫花苜蓿,形成紫花苜蓿+自然生草的组合生草模式;
S2、基于果树上的山楂叶螨痕迹实现山楂叶螨发生程度的评估,同时采用五点取样法实现果园内中华通草蛉数量及分布情况的估算;
S3、基于果树山楂叶螨发生程度的评估结果及当前对应的果园内中华通草蛉数量进行果树山楂叶螨防治方案的规划;
S4、基于规划的果树山楂叶螨防治方案进行中华通草蛉的释放以及化学药剂的喷施。
进一步地,所述步骤S1中,每667m2需紫花苜蓿草种1.0~2.0kg,4~6月仅保留花苜蓿草,7月以后保留部分水肥消耗少的自然杂草。
进一步地,步骤S2中,首先通过无人机实现果树图像集的定点采集,然后基于Faster R-CNN 模型实现果树图像集中山楂叶螨痕迹的识别,所述山楂叶螨痕迹包括山楂叶螨痕迹、叶片斑点痕迹、叶片颜色,然后实现山楂叶螨痕迹数量的统计、叶片斑点痕迹面积的计算、叶片颜色数量的统计,最后根据山楂叶螨痕迹总数量、叶片颜色总数量以及叶片斑点痕迹面积基于模糊神经网络算法实现当前山楂叶螨发生程度的评估。
进一步地,所述无人机所采集到的果树图像均携带有POS数据,因此,步骤S2中所得的当前山楂叶螨发生程度结果均携带对应的地理位置参数。
进一步地,所述步骤S3基于模糊神经网络算法根据果树山楂叶螨发生程度的评估结果及当前对应的果园内中华通草蛉数量进行山楂叶螨防治方案的规划。
进一步地,所述果树山楂叶螨防治方案包括化学药剂的用法用量及需要释放的中华通草蛉数量。
进一步地,所述模糊神经网络算法基于历史山楂叶螨发生程度及其对应所需的中华通草蛉数量、化学药剂用法用量学习所得。
本发明具有以下有益效果:
通过人工栽种紫花苜蓿,在苹果园内形成紫花苜蓿与自然生草相结合的混合生草模式,为天敌提供食物和栖息场所,然后基于果树山楂叶螨发生程度的评估结果及当前对应的果园内中华通草蛉数量进行化学药剂的用法用量和待释放中华通草蛉数量的规划,从而使得果园内的中华通草蛉数量能始终处于一个较为合理的水平,达到持续控制害虫危害的目的,大大的减少了化学农药的使用量。
采用丁子香酚、苦参碱、除虫菊素、氨基寡糖素复配所得的化学农药配合中华通草蛉进行果树山楂叶螨的防治,在可以实现果树山楂叶螨有效防治的同时,可以减少化学农药对中华通草蛉的危害,并提高果树自身的抗病性,进而提高果树产量。
具体实施方式
下面结合具体实施例对本发明进行详细说明。以下实施例将有助于本领域的技术人员进一步理解本发明,但不以任何形式限制本发明。应当指出的是,对本领域的普通技术人员来说,在不脱离本发明构思的前提下,还可以做出若干变形和改进。这些都属于本发明的保护范围。
本发明实施例提供了一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,包括如下步骤:
S1、在果树行间隔一行种植紫花苜蓿,形成紫花苜蓿+自然生草的组合生草模式;
S2、基于果树上的山楂叶螨痕迹实现山楂叶螨发生程度的评估,同时采用五点取样法实现果园内中华通草蛉数量及分布情况的估算;
S3、基于果树山楂叶螨发生程度的评估结果及当前对应的果园内中华通草蛉数量进行果树山楂叶螨防治方案的规划;所述果树山楂叶螨防治方案包括化学药剂的用法用量及需要释放的中华通草蛉数量;
S4、基于规划的果树山楂叶螨防治方案进行中华通草蛉的释放以及化学药剂的喷施,所述化学药剂包括丁子香酚、苦参碱、除虫菊素、氨基寡糖素,所述丁子香酚、苦参碱、除虫菊素、氨基寡糖素的质量比为1:0.6:3:1,使用时,需与水复配,复配所得的杀虫剂中按质量百分比计,含1.8%的除虫菊素;
本实施例中,所述步骤S1中,每667m2需紫花苜蓿草种1.0~2.0kg,4~6月仅保留花苜蓿草,7月以后保留部分水肥消耗少的自然杂草,通过人工拔草的方式去除与果树强烈争夺肥水的杂草。紫花苜蓿全面人工刈割2次,留茬高度约15cm,自然杂草机械刈割2次,留茬高度约10cm,割下的紫花苜蓿和自然杂草留在苹果行间,其他管理措施紫花苜蓿与自然生草区保持一致;
本实施例中,所述步骤S2中:
果树冠上的中华通草蛉的调查采用目测观察法,调查时,对角线5点取样,每点选2颗树冠丰满的果树,在每棵树的E/W/S/N四个方位各选取一顶端有新梢、长势相当的1~2年生侧枝,挂牌标记,目测观察所选侧枝距顶梢1~1.2cm长度范围内所有叶片正反面和树干上的中华通草蛉;
生草上的中华通草蛉采用扫网法,调查于上午露水干后进行。调查时5点取样,用捕虫网在果树行间的生草上边走边扫,连续扫网,捕虫网尽量贴近地面,每点扫网20次,一个来回计一次,记录捕虫网中中华通草蛉的数量。
本实施例中,所述步骤S2中,首先通过无人机实现果树图像集的定点采集,然后基于Faster R-CNN 模型实现果树图像集中山楂叶螨痕迹的识别,所述山楂叶螨痕迹包括山楂叶螨痕迹、叶片斑点痕迹、叶片颜色,然后实现山楂叶螨痕迹数量的统计、叶片斑点痕迹面积的计算、叶片颜色数量的统计,最后根据山楂叶螨痕迹总数量、叶片颜色总数量以及叶片斑点痕迹面积基于模糊神经网络算法实现当前山楂叶螨发生程度的评估。
本实施例中,所述无人机所采集到的果树图像均携带有POS数据,因此,步骤S2中所得的当前山楂叶螨发生程度结果均携带对应的地理位置参数。
本实施例中,所述步骤S3基于模糊神经网络算法根据果树山楂叶螨发生程度的评估结果及当前对应的果园内中华通草蛉数量进行山楂叶螨防治方案的规划。所述模糊神经网络算法基于历史山楂叶螨发生程度及其对应所需的中华通草蛉数量、化学药剂用法用量学习所得。
以上对本发明的具体实施例进行了描述。需要理解的是,本发明并不局限于上述特定实施方式,本领域技术人员可以在权利要求的范围内做出各种变化或修改,这并不影响本发明的实质内容。在不冲突的情况下,本申请的实施例和实施例中的特征可以任意相互组合。

Claims (9)

1.一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,其特征在于:基于丁子香酚、苦参碱、除虫菊素、氨基寡糖素、中华通草蛉联合防控果树山楂叶螨。
2.如权利要求1所述的一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,其特征在于:所述丁子香酚、苦参碱、除虫菊素、氨基寡糖素的质量比为1:0.6:3:1,使用时,需与水复配,复配所得的杀虫剂中按质量百分比计,含1.8%的除虫菊素。
3.如权利要求1所述的一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,其特征在于:具体包括如下步骤:
S1、在果树行间隔一行种植紫花苜蓿,形成紫花苜蓿+自然生草的组合生草模式;
S2、基于果树上的山楂叶螨痕迹实现山楂叶螨发生程度的评估,同时采用五点取样法实现果园内中华通草蛉数量及分布情况的估算;
S3、基于果树山楂叶螨发生程度的评估结果及当前对应的果园内中华通草蛉数量进行果树山楂叶螨防治方案的规划;
S4、基于规划的果树山楂叶螨防治方案进行中华通草蛉的释放以及化学药剂的喷施。
4.如权利要求3所述的一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,其特征在于:所述步骤S1中,每667m2需紫花苜蓿草种1.0~2.0kg,4~6月仅保留花苜蓿草,7月以后保留部分水肥消耗少的自然杂草。
5.如权利要求3所述的一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,其特征在于:步骤S2中,首先通过无人机实现果树图像集的定点采集,然后基于FasterR-CNN 模型实现果树图像集中山楂叶螨痕迹的识别,所述山楂叶螨痕迹包括山楂叶螨痕迹、叶片斑点痕迹、叶片颜色,然后实现山楂叶螨痕迹数量的统计、叶片斑点痕迹面积的计算、叶片颜色数量的统计,最后根据山楂叶螨痕迹总数量、叶片颜色总数量以及叶片斑点痕迹面积基于模糊神经网络算法实现当前山楂叶螨发生程度的评估。
6.如权利要求5所述的一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,其特征在于:所述无人机所采集到的果树图像均携带有POS数据,因此,步骤S2中所得的当前山楂叶螨发生程度结果均携带对应的地理位置参数。
7.如权利要求3所述的一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,其特征在于:所述步骤S3基于模糊神经网络算法根据果树山楂叶螨发生程度的评估结果及当前对应的果园内中华通草蛉数量进行山楂叶螨防治方案的规划。
8.如权利要求3所述的一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,其特征在于:所述果树山楂叶螨防治方案包括化学药剂的用法用量及需要释放的中华通草蛉数量。
9.如权利要求3所述的一种基于化学农药与中华通草蛉联合防控果树山楂叶螨的方法,其特征在于:所述模糊神经网络算法基于历史山楂叶螨发生程度及其对应所需的中华通草蛉数量、化学药剂用法用量学习所得。
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