CN111695078A - Rice yield measuring method suitable for operation of unmanned rice transplanter - Google Patents
Rice yield measuring method suitable for operation of unmanned rice transplanter Download PDFInfo
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- 235000013339 cereals Nutrition 0.000 claims abstract description 25
- 241000196324 Embryophyta Species 0.000 claims description 11
- 239000007787 solid Substances 0.000 claims description 7
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Abstract
The invention discloses a method for measuring yield of rice suitable for operation of an unmanned rice transplanter, and belongs to the field of agricultural and agricultural technology combination in intelligent agriculture. According to the characteristic that rice seedlings are not uniformly distributed during the operation of the unmanned rice transplanter, a new method is pertinently adopted, so that the method for measuring the yield of the rice suitable for the operation of the unmanned rice transplanter is disclosed, and the final theoretical yield can be accurately, simply and conveniently measured and calculated. The main process comprises the following steps: determining the average hole number per mu, the effective hole number per mu, the average grain number per ear and the average thousand seed weight (g), and finally accurately and simply measuring and calculating the theoretical yield of the unmanned rice transplanter operation rice field according to the theoretical yield (kilogram) which is the average hole number per mu, the average effective hole number per hole, the average grain number per ear, the average grain number per thousand seed weight (x).
Description
Technical Field
The invention relates to a method for measuring yield of rice suitable for operation of an unmanned rice transplanter, and belongs to the field of agricultural and agricultural technology combination in intelligent agriculture.
Background
In recent years, along with the deep fusion development of information technology, control technology and agricultural equipment technology, unmanned agricultural equipment serving as an important component of intelligent agriculture is continuously perfected and developed in recent years, and at present, a batch of machines such as an unmanned tillage machine, an unmanned rice and wheat harvester, an unmanned pesticide application machine, an unmanned rice and wheat transplanter and the like are applied to field operation production, so that the labor intensity of people is effectively relieved, the operation efficiency is greatly improved, and the effect is more obvious particularly on some all-weather operation machines.
In the operation process of the unmanned agricultural machine, ensuring that the unmanned agricultural machine can walk according to a planned straight path is the most basic requirement for the unmanned agricultural machine. At present, the straight line walking of unmanned agricultural machinery is basically controlled by a remote sensing or navigation system, and the unmanned agricultural machinery can walk strictly according to the straight line on a flat road. However, when the walking robot works in a farmland with complicated terrain, particularly a plot or a paddy field with poor soil preparation quality, certain deviation exists in straight walking. Therefore, in the case of an unmanned rice transplanter operating in a paddy field, the above deviation causes the row spacing of two adjacent rows between adjacent seedling frames to fluctuate up and down around a set value, sometimes even to occur a large deviation (in the case of rice transplanter operation, a band-shaped planted seedling area formed behind a walking area is called a seedling frame, one row is one, and the seedling frame width is a fixed value set by a machine tool). Although the plant spacing between seedlings is constant as set by the machine, the uniformity distribution of seedlings throughout the field is significantly reduced. In the traditional rice yield measurement, the method for determining the number of holes per mu by the average row spacing and the method for determining the number of holes per mu by the sample are both applied on the premise of basically uniform seedling hole distribution of the whole field. If the yield measurement method is used for measuring the yield of the rice field operated by the unmanned rice transplanter, a large error is generated. Therefore, according to the uneven characteristics that the row spacing between seedling holes is not equal and the planting spacing is equal generated by the operation of the unmanned rice transplanter, the method for measuring the yield of the rice suitable for the operation of the unmanned rice transplanter is provided, and the method has great significance for accurately measuring the yield.
Disclosure of Invention
The technical problem is as follows: although different methods are adopted for rice production measurement, the root and the root must pass the tests of the indexes such as hole number per mu, ear number per mu, spike number per mu, thousand kernel weight and the like, and then the results are multiplied. The different methods differ only in the acquisition method of the above index. The invention provides a method for measuring yield of rice suitable for operation of an unmanned rice transplanter, and aims to provide a novel method for measuring yield accurately based on the characteristic of uneven distribution of rice holes generated by operation of the unmanned rice transplanter.
The technical scheme is as follows: in order to achieve the purpose, the invention provides a method for measuring the yield of rice suitable for the operation of an unmanned rice transplanter, and the method has the idea that aiming at the characteristics of equal row spacing and equal plant spacing of rice holes formed by the operation of the unmanned rice transplanter, an average row spacing method in the fixed linear length vertical to the traveling route of the rice transplanter is provided, and then the number of the holes per mu in a rice field is calculated according to the fixed plant spacing set by the rice transplanter; and then respectively determining the average total spike number per mu and the average spike grain number per spike by using the method, and determining the final yield. Around the above thought, a method for measuring the yield of rice suitable for the operation of an unmanned rice transplanter is carried out according to the following steps:
1. determination of average hole number per mu
(1) Determination of average row spacing and plant spacing
Respectively pulling N (N is an integer more than or equal to 5) ropes with the length of N multiplied by D (N is 4 or 5, and D is the seedling width) in the rice field according to the vertical direction of the transplanting path of the unmanned rice transplanter, then counting the number of rice holes distributed on each rope to obtain an accumulated value M, and then, averaging the row spacing H to be N multiplied by N/M; the average plant spacing Z is a fixed value related to the machine. Wherein, the seedling width D, the row spacing H and the plant spacing Z are all centimeters.
(2) Determination of average hole number per mu
The average hole number X per mu is 666.7 × 10 according to the formula X4/(H × Z) calculation.
2. Determination of effective spike number of hole average
Selecting 3-5 ropes from N ropes, selecting 10 continuous holes along each rope, counting total effective spikes (the effective spikes are calculated only when the rice spikes with more than 10 solid grains are obtained), and then calculating the average value to obtain the effective spike number S (number) of holes.
3. Determination of the number of ears
Selecting rice holes with 5 holes and spike numbers close to the average effective spike number of the holes, counting and accumulating the number of solid grains (the rice holes are not counted), and dividing by the total spike number of the 5 holes to obtain the average solid grain number L (grains).
4. Determination of average thousand-grain weight
And 5-7 parts of grains with the grain number of 1000 are counted from the ears, dried and weighed, and the average value is taken to obtain the average thousand grain weight Q (g) of the rice to be detected.
5. Determination of mu theoretical yield
The theoretical yield per mu of Y (kilogram) is according to the formula Y-X × S × L × Q × 10-6And (4) calculating.
According to the characteristics of uneven seedling distribution caused by the operation of the unmanned rice transplanter, namely the characteristics of unchanged planting distance and larger row spacing change, the invention pertinently provides an average row spacing method in the fixed linear length vertical to the traveling route of the rice transplanter, and determines the number of holes per mu of a seedling field, thereby accurately measuring the yield. Compared with the traditional method for determining the number of holes per mu by the average row spacing and the method for determining the number of holes per mu by the sample, the method is simple and accurate.
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FIG. 1 is a view showing the effect of the operation of the unmanned rice transplanter in the straight line running in the example of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood, however, that the description herein of specific embodiments is only intended to illustrate the invention and not to limit the scope of the invention.
The implementation place of the method is selected in a modern agriculture demonstration area of a country in Jiangsu, partial rice in the current year area is operated by an unmanned rice transplanter, the selected model is set to be 180cm in seedling width 1, 6 rows are planted, the row spacing 2 is 30cm, and the row spacing 3 is 14cm from 12/14/16/18/22 cm. Due to the deviation of straight line walking in the operation process, the line spacing of adjacent lines of two adjacent lines fluctuates around the width space 4 of 30cm, and certain influence is caused on the uniformity distribution of seedlings.
The invention relates to a method for measuring yield of rice suitable for operation of an unmanned rice transplanter. The method comprises the following specific steps:
1. determination of average hole number per mu
(1) Determination of average row spacing and plant spacing
Respectively pulling 5 ropes in the rice field according to the vertical direction of a transplanting path of the unmanned rice transplanter, wherein the length of each rope is 4 multiplied by 180 to 720cm (namely the length of each rope spans 4 seedling breadth), then counting the number of rice holes distributed on each rope to obtain an accumulated value of 113 holes, and the average row spacing H is 720 multiplied by 5/114 to approximately equal to 31.6 cm. The average plant spacing Z is adjusted to 14 cm.
(2) Determination of number of holes per mu
The average hole number X per mu is 666.7 × 10 according to the formula X4/(31.6 × 14) ≈ 15070 holes.
2. Determination of effective spike number of hole average
3 ropes are selected from 5 ropes at will, 10 continuous holes are selected along each rope respectively, the accumulated effective spike number of 30 holes is 498 (the effective spike is calculated only when the rice spike with more than 10 solid grains is obtained), and the average effective spike number S of the holes is 14.1 after the average value is obtained.
3. Determination of the number of ears
In the 30 holes, 5 holes with the spike numbers close to the effective spike numbers of the holes are selected (wherein, the spike number of 2 holes is 16, the spike number of 2 holes is 17, and the spike number of 1 hole is 18), and the spike number is accumulated to be 84. After counting the total number of grains (no number of grains with shrivelled), the number of grains L was found to be 121.4 grains.
4. Determination of average thousand-grain weight
5 parts of grains with the grain number of 1000 are counted from the ears, dried and weighed, and the average value is taken to obtain the average thousand-grain weight Q of the rice to be detected to be 25.38 g.
5. Determination of mu theoretical yield
Theoretical yield per mu of Y-X × S × L × Q × 10-6＝15070×14.1×121.4×25.38×10-6About 654.7 kg.
Claims (1)
1. A method for measuring the yield of rice suitable for the operation of an unmanned rice transplanter is characterized by comprising the following steps:
1. determination of average hole number per mu
(1) Determination of average row spacing and plant spacing
Respectively pulling N (N is an integer more than or equal to 5) ropes with the length of N multiplied by D (N is 4 or 5, and D is the seedling width) in the rice field according to the vertical direction of the transplanting path of the unmanned rice transplanter, then counting the number of rice holes distributed on each rope to obtain an accumulated value M, and then, averaging the row spacing H to be N multiplied by N/M; the average plant spacing Z is a fixed value related to the machine tool; wherein, the seedling width D, the row spacing H and the plant spacing Z are all centimeters;
(2) determination of average hole number per mu
The average hole number X per mu is 666.7 × 10 according to the formula X4/(H × Z) calculation;
2. determination of effective spike number of hole average
Selecting 3-5 ropes from the N ropes, selecting continuous 10 holes along each rope, counting the total effective spike number (the effective spike is calculated only by the rice spike with more than 10 solid grains), and then calculating the average value to obtain the effective spike number S (number) of holes;
3. determination of the number of ears
Selecting rice holes with 5 holes and spike numbers close to the average effective spike number of the holes, counting and accumulating the number of solid grains (the rice holes are not counted), and dividing the number by the total spike number of the 5 holes to obtain the average solid grain number L (grains);
4. determination of average thousand-grain weight
Counting 5-7 parts of grains with the grain number of 1000 from the ears, drying, weighing, and taking the average value to obtain the average thousand grain weight Q (g) of the rice to be detected;
5. determination of mu theoretical yield
The theoretical yield per mu of Y (kilogram) is according to the formula Y-X × S × L × Q × 10-6And (4) calculating.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107389164A (en) * | 2017-08-07 | 2017-11-24 | 江苏沿海地区农业科学研究所 | A kind of barley grain number per spike assay method |
| CN107727213A (en) * | 2017-11-27 | 2018-02-23 | 无锡同春新能源科技有限公司 | The grain yield investigating system of unmanned plane measuring and calculating rice terrace based on Beidou navigation |
| CN109682446A (en) * | 2018-07-23 | 2019-04-26 | 安徽省农业科学院作物研究所 | A kind of measurement method of wheat field yield and the uniformity |
| CN110619417A (en) * | 2019-07-24 | 2019-12-27 | 南京农业大学 | Theoretical yield measurement method based on image characteristics of canopy spike of paddy field rice |
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- 2020-05-21 CN CN202010436703.4A patent/CN111695078A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107389164A (en) * | 2017-08-07 | 2017-11-24 | 江苏沿海地区农业科学研究所 | A kind of barley grain number per spike assay method |
| CN107727213A (en) * | 2017-11-27 | 2018-02-23 | 无锡同春新能源科技有限公司 | The grain yield investigating system of unmanned plane measuring and calculating rice terrace based on Beidou navigation |
| CN109682446A (en) * | 2018-07-23 | 2019-04-26 | 安徽省农业科学院作物研究所 | A kind of measurement method of wheat field yield and the uniformity |
| CN110619417A (en) * | 2019-07-24 | 2019-12-27 | 南京农业大学 | Theoretical yield measurement method based on image characteristics of canopy spike of paddy field rice |
Non-Patent Citations (2)
| Title |
|---|
| 徐俊: "纳米硅肥对水稻抗早衰和增产作用研究", 中国优秀硕士学位论文全文数据库, no. 2017, pages 4 - 6 * |
| 蒋杰等: "小麦和水稻简捷测产法", 农业科技通讯, no. 1979, pages 1 * |
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Application publication date: 20200922 |