CN-121981845-A - Intelligent management method and system for water and fertilizer integrated equipment based on artificial intelligence

CN121981845ACN 121981845 ACN121981845 ACN 121981845ACN-121981845-A

Abstract

The application relates to the technical field of intelligent management of water and fertilizer integrated equipment, and discloses an intelligent management method and system of water and fertilizer integrated equipment based on artificial intelligence, wherein the method comprises the steps of acquiring growth data and soil environment information of crops, and calculating the absorption efficiency of the crops to main nutrients; and when the absorption efficiency does not reach the preset normal efficiency threshold, or the absorption efficiency reaches the preset normal efficiency threshold and the growth data deviates from the preset health reference value, performing trace element deficiency screening judgment, and adjusting a nutrient supply scheme or a soil environment management scheme according to a trace element deficiency screening judgment result. The application acquires crop growth data by utilizing an image recognition technology, can realize non-contact and high-efficiency crop growth monitoring, provides accurate and real-time basis for subsequent absorption efficiency calculation and abnormality judgment, and improves the automation and the accuracy of data acquisition.

Inventors

LIU QINGWEI
WANG FUCHENG
LIU CHANGXI

Assignees

黑龙江八一农垦大学

Dates

Publication Date: 20260505
Application Date: 20260126

Claims (10)

1. An intelligent management method of water and fertilizer integrated equipment based on artificial intelligence is characterized by comprising the following steps: acquiring the growth data and soil environment information of crops, and calculating the absorption efficiency of the crops to main nutrients; When the absorption efficiency does not reach the preset normal efficiency threshold, or the absorption efficiency reaches the preset normal efficiency threshold and the growth data deviate from the preset health reference value, trace element deficiency screening judgment is carried out; And adjusting a nutrient supply scheme or a soil environment management scheme according to the screening and judging result of the lack of the trace elements.
2. The intelligent management method of the water and fertilizer integrated equipment based on artificial intelligence according to claim 1, wherein the step of obtaining the growth data of crops comprises the following steps: and acquiring a canopy image of the crop by using an image acquisition device, calculating a leaf area index or identifying the height of the crop based on the canopy image, and calculating the change rate of the leaf area index or the growth rate of the height of the crop as the growth data.
3. The intelligent management method of the water and fertilizer integrated equipment based on artificial intelligence according to claim 2, wherein trace element deficiency screening judgment is performed when the absorption efficiency reaches a preset normal efficiency threshold and the change rate of the leaf area index or the growth rate of the crop height deviates from a corresponding preset health reference value.
4. The intelligent management method of the water and fertilizer integrated equipment based on the artificial intelligence according to claim 1, wherein the soil environment information comprises soil conductivity and soil pH value.
5. The intelligent management method of an artificial intelligence based water-fertilizer integrated device according to claim 4, wherein the step of calculating the absorption efficiency of the crop to the main nutrients comprises: Analyzing the rate of change of the soil conductivity and the length of the maintenance time after the last application of the primary nutrient; the absorption efficiency is calculated based on the last primary nutrient application amount, the growth data, the soil pH, and the rate of change of the soil conductivity and the length of maintenance time.
6. The intelligent management method of the water and fertilizer integrated equipment based on artificial intelligence according to claim 1, wherein the step of performing trace element deficiency screening and judging comprises the following steps: Analyzing leaf detail characteristics of the crops by utilizing an image recognition technology, and recognizing whether the leaf detail characteristics are consistent with a preset microelement deficiency symptom list or not; If the leaf detail characteristics are consistent with the symptoms of lack of the preset microelements in the preset microelement deficiency symptom list, judging that the lack of the microelements is abnormal in crop growth caused by lack of the preset microelements according to the screening judgment result of the lack of the microelements.
7. The intelligent management method of the integrated water and fertilizer equipment based on artificial intelligence according to claim 6, wherein if the leaf detail characteristics are not consistent with a preset microelement deficiency symptom list and the soil conductivity in the soil environment information is continuously higher than a preset threshold value after the last application of main nutrients, judging that the microelement deficiency screening judgment result is that the soil conductivity is increased due to local salt accumulation of the soil, so that the crop growth is abnormal.
8. The intelligent management method of the integrated water and fertilizer equipment based on artificial intelligence according to claim 7, wherein the step of adjusting the nutrient supply scheme or the soil environment management scheme according to the trace element deficiency screening judgment result comprises the following steps: if the trace element deficiency screening judgment result shows that the lack of the preset trace element causes abnormal growth of the crops, the supply of the preset trace element is increased in the nutrient supply scheme, and the supply amount of main nutrients is adjusted; And if the trace element deficiency screening judging result shows that the soil conductivity is increased due to the local salt accumulation of the soil so as to cause abnormal growth of crops, adding clear water flushing amount or adjusting the irrigation period to rinse the soil salt in the soil environment management scheme.
9. The intelligent management method of an artificial intelligence based water-fertilizer integrated device according to claim 1, wherein if the crop growth is monitored to be slow to recover and the absorption efficiency does not reach the preset normal efficiency threshold after the nutrient supply scheme is adjusted, the method further comprises: performing an acid-base buffering capacity test of the rhizosphere microenvironment to detect whether there is a reduction in the local pH of the rhizosphere; If there is a decrease in the local rhizosphere pH, the nutrient supply regimen is adjusted according to the current local rhizosphere pH.
10. An intelligent management system for an artificial intelligence-based water and fertilizer integrated device for performing the intelligent management method for an artificial intelligence-based water and fertilizer integrated device according to any one of claims 1 to 9, wherein the system comprises: the growth monitoring module is used for acquiring the growth data and the soil environment information of crops and calculating the absorption efficiency of the crops to main nutrients; the microelement screening and judging module is used for carrying out microelement deficiency screening and judging when the absorption efficiency does not reach the preset normal efficiency threshold value or the absorption efficiency reaches the preset normal efficiency threshold value and the growth data and the preset health reference value deviate; the scheme adjusting module is used for adjusting a nutrient supply scheme or a soil environment management scheme according to the trace element deficiency screening and judging result.

Description

Intelligent management method and system for water and fertilizer integrated equipment based on artificial intelligence Technical Field The application relates to the technical field of intelligent management of water and fertilizer integrated equipment, in particular to an intelligent management method and system of water and fertilizer integrated equipment based on artificial intelligence. Background In modern agricultural production, the intelligent management method and system of the water and fertilizer integrated equipment are widely applied, and aim to optimize the crop growth environment by accurately controlling the water and fertilizer supply, thereby improving the yield and the resource utilization efficiency. Such systems typically integrate a variety of sensors that collect crop growth data, soil environment information, etc. in real time and transmit them to a central management system. However, in actual agricultural production, when a farmer introduces a new variety of crops, the intelligent management system of the water and fertilizer integrated equipment may lack the precise growth laws and nutrition demand parameters for the new variety of crops. In such cases, farmers often choose an existing crop type parameter that looks similar to the new crop type as an alternative to operating the plant. This alternative may result in the system not accurately identifying the actual demand of a new variety of crops for a particular trace element (e.g., boron, zinc, manganese, etc.) during the rapid growth phase of the crop, thereby inducing a recessive starvation of the crop for the trace element. The lack of trace elements does not show obvious pathological symptoms in the early stage, but exists in a form that photosynthesis efficiency is slightly reduced, enzyme activity is damaged, and the like, is not easily perceived by naked eyes. At this time, based on artificial intelligence decision-making programs, such subtle growth retardation due to trace element deficiency is detected after receiving crop growth data fed back from various sensors. However, since the crop growth laws inside it are run based on wrong replacement parameters, the program can erroneously attribute this growth retardation to the under-supply of the main nutrient elements. Thus, the program will attempt to compensate for this perceived deficiency by increasing the supply of the primary nutrient elements (e.g., nitrogen fertilizer, phosphate fertilizer, potash fertilizer) in subsequent irrigation and fertilization decisions. This strategy of increasing the supply of the main nutrients does not solve the problem of trace element deficiency actually faced by crops. In contrast, excessively applied water-soluble fertilizers, particularly those nitrogen and potassium salts which are not completely absorbed by growth-inhibited crops, gradually accumulate in the soil in the root zone of the crop, forming localized areas of high concentration. This localized salt accumulation can lead to an increase in the osmotic pressure of the soil solution and an increase in the total amount of soluble ions in the soil, thereby allowing the soil conductivity sensor to continuously report higher conductivity measurements. Finally, after the decision program receives the misleading high conductivity data generated by local salinity aggregation, the decision program can further misjudge the overall nutrient condition of the soil by combining the mismatching crop nutrition parameters and the previous error attribution of the crop growth retardation, so that the system falls into an error closed-loop regulation mechanism. In view of the above, there is a need in the art for improvements. Disclosure of Invention In order to solve the defects of the prior art, the application provides an intelligent management method and an intelligent management system of water and fertilizer integrated equipment based on artificial intelligence, which are used for solving the problems that when the intelligent management system of the existing water and fertilizer integrated equipment is used for introducing new varieties of crops, trace elements are not accurately identified due to lack of accurate growth rules and nutrition demand parameters, so that excessive application of main nutrition elements is caused, local salt of soil is accumulated, and finally an error closed-loop regulation mechanism is involved. In a first aspect, the application discloses an intelligent management method of water and fertilizer integrated equipment based on artificial intelligence, which comprises the following steps: Acquiring the growth data and soil environment information of crops, and calculating the absorption efficiency of the crops to main nutrients; When the absorption efficiency does not reach a preset normal efficiency threshold, or the absorption efficiency reaches the preset normal efficiency threshold and the deviation exists between the growth data and a preset health