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CN106200674A - A kind of method of unmanned plane self adaptation accuracy pesticide applying - Google Patents

A kind of method of unmanned plane self adaptation accuracy pesticide applying Download PDF

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CN106200674A
CN106200674A CN201610674199.5A CN201610674199A CN106200674A CN 106200674 A CN106200674 A CN 106200674A CN 201610674199 A CN201610674199 A CN 201610674199A CN 106200674 A CN106200674 A CN 106200674A
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unmanned plane
node
spraying
uav
medicine
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彭占武
袁洪印
杨简
王雪
李太浩
潘贺
石莹
司秀丽
胡晓丽
杨毅
马东
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Jilin Agricultural University
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Jilin Agricultural University
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    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
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    • G05D1/101Simultaneous control of position or course in three dimensions specially adapted for aircraft

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Abstract

一种无人机自适应精准施药的方法,属于农业植保机械自动化技术领域,通过以下步骤实现,开启GPS定位系统,系统将待施药区域分割为一个以上矩形区域,根据矩形区域的四点位置规划无人机航迹线;在系统中输入飞防作业的参数值,所述参数值包括作业面积、飞行的平均速度、施药标准范围[F1,F2];在喷洒作业区域内布置无线传感器节点;在无人机上安装与无线传感器节点通信的中控节点;启动无人机,无人机按照规划的航迹线飞行至矩形区域的四点内起始点位置时进行施药。本发明提高了精准施药作业中植保无人机的自主飞行能力,解决了植保无人机由于客观因素造成的喷施不均问题,保证了植保无人机的作业效果和作业产量。

A method for self-adaptive and precise spraying of drones, which belongs to the field of agricultural plant protection machinery automation technology. It is realized through the following steps. The GPS positioning system is turned on, and the system divides the area to be sprayed into more than one rectangular area. According to the four points of the rectangular area Position planning UAV track line; input the parameter value of flight defense operation in the system, the parameter value includes the operation area, average speed of flight, spraying standard range [F1, F2]; arrange wireless spraying in the spraying operation area Sensor nodes; install a central control node communicating with wireless sensor nodes on the UAV; start the UAV, and spray medicine when the UAV flies to the starting point within the four points in the rectangular area according to the planned flight path. The invention improves the autonomous flight capability of the plant protection UAV in precision spraying operations, solves the problem of uneven spraying of the plant protection UAV caused by objective factors, and ensures the operation effect and operation output of the plant protection UAV.

Description

一种无人机自适应精准施药的方法A method for self-adaptive precision pesticide application by UAV

技术领域technical field

本发明属于农业植保机械自动化技术领域,特别是涉及到一种利用无线传感器网络技术对无人机农田作物精准施药的方法。The invention belongs to the technical field of agricultural plant protection machinery automation, and in particular relates to a method for using wireless sensor network technology to precisely apply pesticides to farmland crops by drones.

背景技术Background technique

近年来,我国无人机在农业植保领域的应用越来越广泛,随着技术的成熟,无人机在农作物喷药方面正在逐步获得更大的发展空间,被越来越多的农业生产者所认可,也使得我国农业植保机械化作业程度进一步提高。尽管无人机在植保机械化作业方面占有很大优势,但其在发展过程中仍需要不断改进。In recent years, the application of drones in the field of agricultural plant protection in my country has become more and more extensive. With the maturity of technology, drones are gradually gaining more room for development in crop spraying, and are being used by more and more agricultural producers. The recognition has also further improved the level of mechanization of agricultural plant protection in my country. Although UAVs have great advantages in plant protection mechanized operations, they still need continuous improvement in the development process.

对作物施药的均匀程度是检验无人机飞防作业的一个重要指标。精准施药一方面节省大量农药,减少农药过量对作物的伤害,另一方面,能够大大降低农药对环境造成的破坏程度。对作物的精准施药是精准农业生产的重要环节之一。The uniformity of pesticide application to crops is an important indicator for testing UAV flight defense operations. On the one hand, precise pesticide application saves a lot of pesticides and reduces the damage to crops caused by excessive pesticides. On the other hand, it can greatly reduce the damage caused by pesticides to the environment. Precise application of pesticides to crops is one of the important links in precision agricultural production.

目前,尽管我国有一些地区已经开始使用无人机对作物进行施药,但喷洒过程的精确度并未受到有效控制,受外界一些因素干扰较大,无人机的自动调整能力较差,喷洒的精准性仍有待提高。因此现有技术当中亟需要一种新型的技术方案来解决这一问题。At present, although some areas in our country have begun to use drones to spray crops, the accuracy of the spraying process has not been effectively controlled, and it is greatly disturbed by some external factors. The automatic adjustment ability of drones is poor, and the spraying The accuracy still needs to be improved. Therefore, there is an urgent need for a novel technical solution in the prior art to solve this problem.

发明内容Contents of the invention

本发明所要解决的技术问题是:The technical problem to be solved by this invention is:

提供一种无人机自适应精准施药的方法,提高了精准施药作业中植保无人机的自主飞行能力,解决了植保无人机由于客观因素造成的喷施不均问题,保证了植保无人机的作业效果和作业产量。Provides a method for self-adaptive precision spraying of drones, which improves the autonomous flight capability of plant protection drones in precision spraying operations, solves the problem of uneven spraying caused by objective factors of plant protection drones, and ensures plant protection. The operation effect and operation output of UAV.

一种无人机自适应精准施药的方法,其特征是:包括以下步骤,A method for self-adaptive and precise pesticide application by unmanned aerial vehicles, characterized in that it comprises the following steps,

步骤一、开启GPS定位系统,系统将待施药区域分割为一个以上矩形区域,根据矩形区域的四点位置规划无人机航迹线;Step 1. Turn on the GPS positioning system. The system divides the area to be sprayed into more than one rectangular area, and plans the UAV track line according to the four points of the rectangular area;

步骤二、在系统中输入飞防作业的参数值,所述参数值包括作业面积、飞行的平均速度、施药标准范围[F1,F2];Step 2, input the parameter value of the flight defense operation in the system, the parameter value includes the operation area, the average speed of the flight, and the spraying standard range [F1, F2];

步骤三、在喷洒作业区域内布置无线传感器节点,无线传感器节点按照所述步骤一规划的无人机航迹布置,其中列间距为50米,行间距为无人机的喷洒幅宽;Step 3, arrange the wireless sensor nodes in the spraying operation area, the wireless sensor nodes are arranged according to the drone track planned in the step 1, wherein the column spacing is 50 meters, and the row spacing is the spraying width of the drone;

步骤四、在无人机上安装与无线传感器节点通信的中控节点;Step 4, installing a central control node communicating with the wireless sensor node on the UAV;

步骤五、启动无人机,无人机按照规划的航迹线飞行至矩形区域的四点内起始点位置时进行施药;Step 5. Start the UAV, and spray the medicine when the UAV flies to the starting point within the four points in the rectangular area according to the planned flight path;

步骤六、喷洒作业区域内的无线传感节点接收到无人机喷洒的药液后触发唤醒,测量喷洒的药液值,将数据上传至无人机的中控节点;Step 6. The wireless sensor node in the spraying operation area triggers wake-up after receiving the liquid medicine sprayed by the drone, measures the value of the sprayed liquid medicine, and uploads the data to the central control node of the drone;

步骤七、所述中控节点接收到的节点信号取最强信号值记为Pmax;Step 7, the node signal received by the central control node takes the strongest signal value and records it as Pmax;

步骤八、反馈Pmax节点确认接收信息,Pmax节点进入休眠状态停止发送信号;Step 8, feed back the Pmax node to confirm the received information, and the Pmax node enters the dormant state and stops sending signals;

步骤九、Pmax节点的测量值M与标准浓度范围[F1,F2]进行比较,调整药箱喷洒量;Step 9: Compare the measured value M of the Pmax node with the standard concentration range [F1, F2], and adjust the spraying amount of the medicine box;

步骤十、判断无人机航行位置是否到达终点,若无人机到达终点则喷洒结束,无人机未到达终点,返回所述步骤六操作继续执行。Step 10. Determine whether the drone's navigation position has reached the end point. If the drone reaches the end point, the spraying ends. If the drone does not reach the end point, return to the step six and continue.

所述步骤九的药箱喷洒量的调整方法为,The adjustment method of the spraying amount of the medicine box in the step 9 is,

若Pmax节点的测量值M在施药标准范围[F1,F2]内,则药箱液泵电压保持不变;若Pmax节点的测量值M不在施药标准范围[F1,F2]内,则启动药箱内变压阀,调整药箱液泵电压值;If the measured value M of the Pmax node is within the spraying standard range [F1, F2], the voltage of the liquid pump of the medicine tank remains unchanged; if the measured value M of the Pmax node is not within the spraying standard range [F1, F2], start The pressure changing valve in the medicine box adjusts the voltage value of the liquid pump in the medicine box;

所述药箱液泵电压值通过液泵电压U=U+(F-M)/A×1.39计算,其中,F=(F12+F22)0.5/2,M为当前药液测量值,A为药箱系统控制系数的参数。The voltage value of the medicine box liquid pump is calculated by the liquid pump voltage U=U+(F-M)/A×1.39, wherein, F=(F12+F22)0.5/2, M is the measured value of the current medicine liquid, and A is the medicine box system Parameters that control the coefficients.

通过上述设计方案,本发明可以带来如下有益效果:一种无人机自适应精准施药的方法,提高了精准施药作业中植保无人机的自主飞行能力,解决了植保无人机由于客观因素造成的喷施不均问题,保证了植保无人机的作业效果和作业产量。Through the above-mentioned design scheme, the present invention can bring the following beneficial effects: a method for self-adaptive and precise spraying of drones, which improves the autonomous flight capability of plant protection drones in precision spraying operations, and solves the problem of plant protection drones due to The problem of uneven spraying caused by objective factors ensures the operation effect and output of plant protection drones.

附图说明Description of drawings

以下结合附图和具体实施方式对本发明作进一步的说明:The present invention will be further described below in conjunction with accompanying drawing and specific embodiment:

图1为本发明一种无人机自适应精准施药的方法流程示意图。Fig. 1 is a schematic flow chart of a method for self-adaptive and precise pesticide application by a UAV according to the present invention.

图2为本发明一种无人机自适应精准施药的方法作业区域无线传感器节点布点示意图。Fig. 2 is a schematic diagram of wireless sensor node layout in the working area of a method of self-adaptive and precise pesticide application by UAV according to the present invention.

图3为本发明一种无人机自适应精准施药的方法无线传感器节点反馈药液测量值M调整药箱压力的方法流程示意图。Fig. 3 is a schematic flowchart of a method for self-adaptive and precise pesticide application by a UAV according to the present invention. The wireless sensor node feeds back the measured value M of the medicinal liquid to adjust the pressure of the medicine box.

图中1-无人机航行轨迹、2-作物生长区。In the figure 1-UAV flight track, 2-crop growth area.

具体实施方式detailed description

一种无人机自适应精准施药的方法,如图1所示,包括以下步骤,A method for self-adaptive precise pesticide application by unmanned aerial vehicles, as shown in Figure 1, comprising the following steps,

步骤一、利用GPS定位系统,规划至少一个无人机作业的矩形区域和无人机航行轨迹1。Step 1: Use the GPS positioning system to plan at least one rectangular area for UAV operation and UAV navigation trajectory 1 .

作业区域是待施药区域,为作物生长区2,系统将待施药区域分割成若干个矩形区域,确定矩形区域四点位置。The operation area is the area to be sprayed, which is the crop growth area 2. The system divides the area to be sprayed into several rectangular areas, and determines the positions of four points in the rectangular area.

根据四点位置规划航迹线。根据农作物和障碍物规划飞行高度、飞行速度和飞行时间。Plan the track line according to the position of four points. Plan flight altitude, flight speed and flight time according to crops and obstacles.

步骤二、在软件系统中输入本次飞防作业的参数值,包括:Step 2. Enter the parameter values of this flight defense operation in the software system, including:

确定矩形区域四点GPS定位(自动计算出作业面积)位置、飞行的平均速度V(m/s)、飞行高度。根据待施药作物的种类、药液种类、药液稀释比例及农作生长阶段,计算出施药标准范围[F1,F2]。计算无人机施药系统参数A(毫升/伏特),即施药系统参数A是无人机药箱流量与液泵控制电压U之间的比例系数。Determine the four-point GPS positioning (automatically calculate the operating area) position in the rectangular area, the average flight speed V (m/s), and the flight height. Calculate the application standard range [F1, F2] according to the type of crop to be sprayed, the type of liquid medicine, the dilution ratio of the liquid medicine, and the growth stage of the crop. Calculate the parameter A (ml/volt) of the UAV spraying system, that is, the parameter A of the spraying system is the proportional coefficient between the flow rate of the drone’s medicine tank and the control voltage U of the liquid pump.

步骤三、在喷洒作业区域内布置无线传感器节点P,无线传感器节点的布置结合图2所示,按照施药作业区以及无人机飞行轨迹,规划N行×D列个节点,且所有无线传感器节点布置在农作物近旁。节点P的列间距以50米为宜,节点P的行间距为无人机喷洒幅宽。所有无线传感器节点P初始状态为休眠状态即不送信号。Step 3. Arrange wireless sensor nodes P in the spraying operation area. The arrangement of wireless sensor nodes is shown in Figure 2. According to the spraying operation area and the flight trajectory of the UAV, N rows×D columns of nodes are planned, and all wireless sensors The nodes are arranged near the crops. The column spacing of node P is preferably 50 meters, and the row spacing of node P is the spraying width of the drone. The initial state of all wireless sensor nodes P is dormant, that is, no signal is sent.

步骤四、无人机装配一个无线传感器节点称为中控节点。中控节点功能是监听信道,根据某节点P发送的药液值M调整药箱压力,反馈给节点P确认接收信息。Step 4, the UAV assembles a wireless sensor node called the central control node. The function of the central control node is to monitor the channel, adjust the pressure of the medicine tank according to the medicine liquid value M sent by a certain node P, and feed back to the node P to confirm the received information.

步骤五、无人机开始飞行。它的飞行航线是根据作业区域进行规划,如图2所示。无人机通过GPS定位系统计算的四角点判断是否到达作业的起始点。若无人机到达作业区起始点后立即开始施药。Step 5. The UAV starts to fly. Its flight route is planned according to the operating area, as shown in Figure 2. The UAV judges whether it has reached the starting point of the operation through the four corner points calculated by the GPS positioning system. If the drone arrives at the starting point of the operation area, it will start spraying immediately.

步骤六、作业区的无线传感器节点P载有测量喷药量的传感器。P的初始状态为休眠。开始施药后,可能有某节点P因被喷施而触发,P测量药液值M并将M发送至中控节点。Step 6, the wireless sensor node P in the work area is equipped with a sensor for measuring spraying amount. The initial state of P is dormant. After spraying, a certain node P may be triggered by spraying, and P measures the liquid value M and sends M to the central control node.

步骤七、中控节点实时监听信道,若有信号接入时计算信号强度,判断信号的合法性。如果发送合法信号的节点记为Pmax,中控节点接收存储Pmax节点发送的M。如果不合法将信号丢弃。Step 7: The central control node monitors the channel in real time, calculates the signal strength when there is a signal access, and judges the legitimacy of the signal. If the node sending the legal signal is recorded as Pmax, the central control node receives and stores the M sent by the Pmax node. If not valid the signal is discarded.

本步骤中所述的合法是指同时满足两个条件,条件一信号强度必须大于设定的强度阈值;条件二信号强度需大于等于其他节点。The legality described in this step means that two conditions are met at the same time. Condition 1: The signal strength must be greater than the set strength threshold; Condition 2: The signal strength must be greater than or equal to other nodes.

步骤八、中控节点接收Pmax的药液值M后,反馈Pmax确认接收信息,Pmax节点进入休眠状态。Step 8: After receiving the liquid medicine value M of Pmax, the central control node feeds back Pmax to confirm the received information, and the Pmax node enters a dormant state.

步骤九、中控节点根据接收的药液值M值调整喷药箱压力。Step 9: The central control node adjusts the pressure of the spray box according to the received liquid medicine value M.

如图3所示,具体操作步骤为:As shown in Figure 3, the specific operation steps are:

若药液值M在施药标准范围[F1,F2],则药箱液泵电压不变。若药液值M不在施药标准范围[F1,F2],则启动药箱内变压阀,调整药箱液泵电压值U,直至获得反馈的药液值M恢复到[F1,F2]范围内为止。If the liquid medicine value M is within the spraying standard range [F1, F2], the liquid pump voltage of the medicine box remains unchanged. If the liquid medicine value M is not within the spraying standard range [F1, F2], start the pressure change valve in the medicine box and adjust the voltage value U of the liquid pump in the medicine box until the medicine liquid value M obtained by feedback returns to the range [F1, F2] within.

为实现调整药箱压力U,所述的步骤还包括:液泵电压U=U+(F-M)/A×1.39,此式中,F=(F12+F22)0.5/2,M当前药液测量值,A药箱系统控制系数的参数。In order to adjust the medicine tank pressure U, the steps also include: liquid pump voltage U=U+(F-M)/A×1.39, in this formula, F=(F12+F22)0.5/2, M current liquid medicine measurement value , A parameter of the control coefficient of the medicine box system.

步骤十、利用GPS定位系统,确定当前飞行位置。当前位置与四点GPS定位做比较,若未到达终点返回至步骤六,否则结束喷洒。Step ten, using the GPS positioning system to determine the current flight position. Compare the current position with the four-point GPS positioning. If the end point is not reached, return to step 6, otherwise end the spraying.

Claims (3)

1. a method for unmanned plane self adaptation accuracy pesticide applying, is characterized in that: comprise the following steps,
Step one, unlatching GPS alignment system, system will treat that applying area regional partition is more than one rectangular area, according to rectangle region 4 position planning unmanned aerial vehicle flight path lines in territory;
Step 2, in systems input fly the parameter value of anti-operation, and described parameter value includes the average speed of working area, flight Degree, dispenser critical field [F1, F2];
Step 3, in spraying operation region arrange wireless sensor node, wireless sensor node is advised according to described step one The unmanned aerial vehicle flight path drawn is arranged, wherein column pitch is 50 meters, and line space is the sprinkling fabric width of unmanned plane;
Step 4, the middle control node that installation communicates with wireless sensor node on unmanned plane;
Step 5, startup unmanned plane, unmanned plane flies to 4 interior initial point position of rectangular area according to the track line of planning Shi Jinhang dispenser;
Wireless sensing node in step 6, spraying operation region triggers after receiving the medicinal liquid that unmanned plane sprays and wakes up up, measures Data are uploaded to the middle control node of unmanned plane by the medicinal liquid value sprayed;
The node signal that step 7, described middle control node receive takes peak signal value and is designated as Pmax;
Step 8, feedback Pmax node confirm reception information, and Pmax node enters resting state to be stopped sending signal;
Step 9, measured value M and the normal concentration scope [F1, F2] of Pmax node compare, and adjust medicine-chest fountain height;
Step 10, judging whether unmanned plane underway position reaches home, if unmanned plane is reached home, spray and terminate, unmanned plane is not Reach home, return the operation of described step 6 and continue executing with.
The method of a kind of unmanned plane self adaptation accuracy pesticide applying the most according to claim 1, is characterized in that: described step 9 The method of adjustment of medicine-chest fountain height is,
The measured value M of Pmax node is in dispenser critical field [F1, F2], and medicine-chest liquid pump voltage keeps constant;Pmax node Measured value M, not in dispenser critical field [F1, F2], starts variable pressure valve in medicine-chest, adjusts medicine-chest liquid pump magnitude of voltage.
The method of a kind of unmanned plane self adaptation accuracy pesticide applying the most according to claim 2, is characterized in that: described medicine-chest liquid pump Magnitude of voltage is calculated by liquid pump voltage U=U+ (F-M)/A × 1.39, and wherein, F=(F12+F22) 0.5/2, M are that current medicinal liquid is surveyed Value, A is the parameter of medicine-chest system control coefrficient.
CN201610674199.5A 2016-08-16 2016-08-16 A kind of method of unmanned plane self adaptation accuracy pesticide applying Pending CN106200674A (en)

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CN107289944A (en) * 2017-06-21 2017-10-24 上海拓攻机器人有限公司 A kind of method and device of control unmanned plane plant protection operation
CN108536170A (en) * 2018-06-04 2018-09-14 南京林业大学 A kind of aviation variable farm chemical applying monitoring device and method
CN109383772A (en) * 2017-08-03 2019-02-26 黎城中航明德航空科技有限公司 A kind of method multi-angle illumination efficient agricultural sprinkling unmanned plane and sprayed insecticide
CN109829632A (en) * 2019-01-15 2019-05-31 北京林业大学 Forest based on flight track data flies anti-Supervision
CN110018504A (en) * 2019-04-19 2019-07-16 丰疆智能科技研究院(常州)有限公司 Farm machinery management system and farm machinery management method based on GPS positioning
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CN112205266A (en) * 2020-10-21 2021-01-12 塔里木大学 Cotton planting method for promoting seedling early-growing
CN113163745A (en) * 2018-12-28 2021-07-23 株式会社久保田 Aircraft support device and aircraft support system
CN114275161A (en) * 2020-09-28 2022-04-05 扬州大学 Pesticide spraying anti-drifting intelligent control system for plant protection unmanned aerial vehicle and control method thereof
CN114651799A (en) * 2022-03-08 2022-06-24 南京工程学院 Method for spraying liquid medicine for flight equipment and flight equipment
CN114868591A (en) * 2022-05-30 2022-08-09 塔里木大学 Green planting method for growing grass in pear orchard in southern Xinjiang area

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CN106845710A (en) * 2017-01-18 2017-06-13 北京艾森博航空科技股份有限公司 Mission area automatic division method and system, flight course planning method and system
CN107289944A (en) * 2017-06-21 2017-10-24 上海拓攻机器人有限公司 A kind of method and device of control unmanned plane plant protection operation
CN109383772A (en) * 2017-08-03 2019-02-26 黎城中航明德航空科技有限公司 A kind of method multi-angle illumination efficient agricultural sprinkling unmanned plane and sprayed insecticide
WO2019137135A1 (en) * 2018-05-11 2019-07-18 农业部南京农业机械化研究所 Plant protection unmanned aerial vehicle operation effect evaluation method
CN108536170A (en) * 2018-06-04 2018-09-14 南京林业大学 A kind of aviation variable farm chemical applying monitoring device and method
CN108536170B (en) * 2018-06-04 2023-05-16 南京林业大学 Aviation variable pesticide application monitoring device and method
CN113163745A (en) * 2018-12-28 2021-07-23 株式会社久保田 Aircraft support device and aircraft support system
CN109829632A (en) * 2019-01-15 2019-05-31 北京林业大学 Forest based on flight track data flies anti-Supervision
CN110018504A (en) * 2019-04-19 2019-07-16 丰疆智能科技研究院(常州)有限公司 Farm machinery management system and farm machinery management method based on GPS positioning
CN114275161A (en) * 2020-09-28 2022-04-05 扬州大学 Pesticide spraying anti-drifting intelligent control system for plant protection unmanned aerial vehicle and control method thereof
CN114275161B (en) * 2020-09-28 2023-10-27 扬州大学 A plant protection drone spraying and anti-drift intelligent control system and its control method
CN112205266A (en) * 2020-10-21 2021-01-12 塔里木大学 Cotton planting method for promoting seedling early-growing
CN114651799A (en) * 2022-03-08 2022-06-24 南京工程学院 Method for spraying liquid medicine for flight equipment and flight equipment
CN114868591A (en) * 2022-05-30 2022-08-09 塔里木大学 Green planting method for growing grass in pear orchard in southern Xinjiang area
CN114868591B (en) * 2022-05-30 2024-04-12 塔里木大学 Green planting method for growing grass in pear orchard in south ARUM

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Application publication date: 20161207