Light intelligent water and fertilizer all-in-one machine and process based on machine learning

A machine learning, all-in-one technology, applied in instruments, fertilization methods, fertilization devices, etc., can solve problems such as unfavorable promotion and application of precision irrigation and fertilization technology, lack of precision irrigation and fertilization master control machine decision-making, and inability to master the use process in a short time. , to achieve the effect of compact structure, reasonable design and cost saving

A machine learning, all-in-one technology, applied in instruments, fertilization methods, fertilization devices, etc., can solve problems such as unfavorable promotion and application of precision irrigation and fertilization technology, lack of precision irrigation and fertilization master control machine decision-making, and inability to master the use process in a short time. , to achieve the effect of compact structure, reasonable design and cost saving

CN112731994APending Publication Date: 2021-04-30BEIJING AGRI TECH PROMOTION STATION +1

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  • Light intelligent water and fertilizer all-in-one machine and process based on machine learning
  • Light intelligent water and fertilizer all-in-one machine and process based on machine learning
  • Light intelligent water and fertilizer all-in-one machine and process based on machine learning

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Experimental program
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Effect test

Embodiment Construction

[0072] Such as Figure 5 , Embodiment 1, the present invention integrates precise irrigation decisions based on light, timing and soil moisture, and two precise fertilization decisions based on ratio and EC value.

[0073] Among them, (a), precise irrigation decision-making based on light

[0074] Irrigation decision-making based on light is mainly divided into two modes: crop parameter model control and machine learning parameter control. The crop parameter model control is based on the following formula to automatically calculate the duration of a single irrigation;

[0075] I=A*Wm*J formula (1)

[0076] I: single irrigation quota, unit, mL / m 2 ;A: irrigation coefficient; Wm: cumulative value of light radiation, unit, J / cm 2 ; J: multiple of water volume;

[0077] T=60*I*10 -3 / (De*q) formula (2)

[0078] T: single irrigation duration, unit, min; I: single irrigation quota, unit, mL / m 2 ; De: planting density, unit, plant / m 2 ;q: dripper flow rate, unit, L / h;

[007...

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Abstract

The invention relates to a light intelligent water and fertilizer all-in-one machine and process based on machine learning. The process comprises the steps of: S1, establishing an irrigation decision based on illumination, a time sequence and soil moisture; and S2, establishing a fertilization decision based on the proportion and the EC value. In the step S1, S1.1, an irrigation decision based on illumination is established and divided into a crop parameter model control mode and a machine learning parameter control mode; firstly, a crop parameter model is established; then, the single irrigation duration T, unit and min are determined; secondly, a producer inputs parameters into the water and fertilizer all-in-one machine according to planting conditions, and the parameters include crop planting, crop rotation, a growth period, field planting density and / or dripper flow; and thirdly, the irrigation coefficient A is adjusted according to an empirical value based on a previous test result according to planting prefabrication and a water quantity multiple J function. The machine is reasonable in design, compact in structure and convenient to use.

Description

technical field [0001] The invention relates to a light intelligent water and fertilizer integrated machine and a process based on machine learning. Background technique [0002] Beijing is short of water resources. It is a super-large city with severe water shortage. The per capita water resources are less than 10% of the national average. The proportion of the city's total water consumption is 9%, and agricultural water use accounts for 31.9%, making it the largest water user in the planting industry. Beijing has put forward the goals of increasing the water utilization coefficient of agricultural irrigation to 0.75, the effective irrigation area of ​​farmland reaching more than 95%, and the water resource utilization rate increasing by more than 15%. In terms of fertilizers, it is proposed to increase the utilization rate of agricultural chemical fertilizers to 40%. To achieve the above goals, precise control of irrigation and fertilization is an indispensable technical ...

Claims

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Application Information

Patent Timeline
30 Apr 2021
Publication
CN112731994A
IPC
G05D27/02; A01C23/00; A01C23/04; A01C21/00
CPC
A01C21/007; A01C23/007; A01C23/042; A01C23/047; G05D27/02
Inventors
岳焕芳; 孟范玉