CN109115153A - A kind of agriculture plants height monitoring system based on Internet of Things - Google Patents
A kind of agriculture plants height monitoring system based on Internet of Things Download PDFInfo
- Publication number
- CN109115153A CN109115153A CN201810868270.2A CN201810868270A CN109115153A CN 109115153 A CN109115153 A CN 109115153A CN 201810868270 A CN201810868270 A CN 201810868270A CN 109115153 A CN109115153 A CN 109115153A
- Authority
- CN
- China
- Prior art keywords
- plant
- multiple target
- region
- peasant
- internet
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Withdrawn
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/02—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness
- G01B21/08—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring length, width, or thickness for measuring thickness
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a kind of agriculture plants height monitoring system based on Internet of Things characterized by comprising region division module, management platform, for being multiple target areas by land divide to be detected；First acquisition module, for acquiring nitrogen content, phosphorus content, the potassium content in multiple target area soils；Second acquisition module, for acquiring the image information of plant in multiple target areas.The present invention analyzes the degree in great numbers of plant in each region by the leaf area index of plant in acquisition different zones, and, the maximum height value of plant in different zones is acquired to analyze the speed of growth and growth result of plant in each region, thus according to above-mentioned two parameter come the actual growing situation of plant in each region of comprehensive descision.
Description
Technical field
The present invention relates to intelligent agricultural system technical field more particularly to a kind of agriculture plants height prisons based on Internet of Things
Examining system.
Background technique
Since the 1990s, with the continuous aggravation of land deterioration and mentioning for sustainable land use and management theory
Out, land quality problem is increasingly subject to the concern of people.In fact, land quality index be not merely refer to soil in a certain respect or
The index of a certain attribute, but comprehensive natural and socio-economic factor concentrated expression land resource and relevant ecological environmental change
Index.As large agricultural country, the sprawling region of planting industry is very extensive in China.In the growth course of crops, in soil
Nitrogen, phosphorus, potassium content are the critically important factors for influencing plant growth, during existing fertilising, often according to artificial judgment
It goes to carry out with experience, not only reduces the validity of fertilising, and be difficult to maintain the high-quality growth conditions of plant.And different zones
Nitrogen, phosphorus, the potassium content in soil have differences, it is too high or too low to will cause certain constituent content using unified fertilizing method
Situation, to influence the growth course and harvest of crops.
Summary of the invention
Technical problems based on background technology, the invention proposes a kind of, and the agriculture plants height based on Internet of Things is supervised
Examining system.
The present invention solve technical problem the following technical schemes are provided:
A kind of agriculture plants height monitoring system based on Internet of Things characterized by comprising region division module, management are flat
Platform, for being multiple target areas by land divide to be detected；First acquisition module, for acquiring multiple target area soils
Nitrogen content, phosphorus content, potassium content；Second acquisition module, for acquiring the image information of plant in multiple target areas, the pipe
Monitoring device collected data in field are conveyed to cloud computing server by platform, and cloud computing server is judged in advance in the region
The maturation times of crops, harvest yield, the information of crops quality, and the maturation time judged in advance and harvest yield information are led to
It crosses information mode and is pushed to peasant, voluntarily selected oneself to formulate harvesting plan or by management platform combination weather forecast by peasant
Situation formulates harvesting plan to peasant.
The present invention analyzes the in great numbers of plant in each region by the leaf area index of plant in acquisition different zones
Degree, and, the maximum height value of plant in different zones is acquired to analyze the speed of growth and life of plant in each region
Long effect, thus according to above-mentioned two parameter come the actual growing situation of plant in each region of comprehensive descision, and pass through management
Field Plants maturation data are transferred in cloud server by platform, are effectively formulated harvesting plan or are combined by management platform
Weather forecast situation formulates harvesting plan to peasant.
Specific embodiment
Using specific embodiment, present invention will be explained in further detail below；
A kind of agriculture plants height monitoring system based on Internet of Things characterized by comprising region division module, management are flat
Platform, for being multiple target areas by land divide to be detected；First acquisition module, for acquiring multiple target area soils
Nitrogen content, phosphorus content, potassium content；Second acquisition module, for acquiring the image information of plant in multiple target areas, the pipe
Monitoring device collected data in field are conveyed to cloud computing server by platform, and cloud computing server is judged in advance in the region
The maturation times of crops, harvest yield, the information of crops quality, and the maturation time judged in advance and harvest yield information are led to
It crosses information mode and is pushed to peasant, voluntarily selected oneself to formulate harvesting plan or by management platform combination weather forecast by peasant
Situation formulates harvesting plan to peasant.
Claims (1)
1. a kind of agriculture plants height monitoring system based on Internet of Things characterized by comprising region division module, management
Platform, for being multiple target areas by land divide to be detected；First acquisition module, for acquiring multiple target area soils
Nitrogen content, phosphorus content, potassium content；Second acquisition module, it is described for acquiring the image information of plant in multiple target areas
It manages platform and monitoring device collected data in field is conveyed to cloud computing server, cloud computing server judges the region in advance
The maturation time of interior crops, harvest yield, the information of crops quality, and by the maturation time judged in advance and harvest yield information
It is pushed to peasant by information mode, is voluntarily selected oneself to formulate harvesting plan or pre- by management platform combination weather by peasant
Situation is reported to formulate harvesting plan to peasant.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810868270.2A CN109115153A (en) | 2018-08-02 | 2018-08-02 | A kind of agriculture plants height monitoring system based on Internet of Things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810868270.2A CN109115153A (en) | 2018-08-02 | 2018-08-02 | A kind of agriculture plants height monitoring system based on Internet of Things |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109115153A true CN109115153A (en) | 2019-01-01 |
Family
ID=64851604
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810868270.2A Withdrawn CN109115153A (en) | 2018-08-02 | 2018-08-02 | A kind of agriculture plants height monitoring system based on Internet of Things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109115153A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE202022102591U1 (en) | 2022-05-12 | 2022-06-27 | Deepak Batham | System for monitoring plant health in precision agriculture using image processing and convolutional neural network |
-
2018
- 2018-08-02 CN CN201810868270.2A patent/CN109115153A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE202022102591U1 (en) | 2022-05-12 | 2022-06-27 | Deepak Batham | System for monitoring plant health in precision agriculture using image processing and convolutional neural network |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Namdari et al. | Input-output energy analysis of citrus production in Mazandaran province of Iran | |
| CN108781926B (en) | Greenhouse irrigation system and method based on neural network prediction | |
| Cherati et al. | Energy survey of mechanized and traditional rice production system in Mazandaran Province of Iran | |
| CN102413161A (en) | Apple garden accurate management system | |
| CN102413160A (en) | Chinese gooseberry garden accurate management system | |
| Eissa | Nutrition of drip irrigated corn by phosphorus under sandy calcareous soils | |
| CN106779452A (en) | The method for setting up crops data growth model | |
| CN109601347A (en) | A kind of agricultural automation irrigation system | |
| Upendra et al. | Technology in Indian agriculture–a review | |
| CN103413172B (en) | Maize at Seedling Stage is short of seedling several measuring methods | |
| CN110516943B (en) | Surface temperature-based dynamic monitoring and remote sensing method for irrigation area in spring irrigation period | |
| Gorjizad et al. | Large scale assessment of the production process and rice yield gap analysis by comparative performance analysis and boundary-line analysis methods | |
| Singla et al. | IoT based monitoring for the growth of basil using machine learning | |
| CN109115153A (en) | A kind of agriculture plants height monitoring system based on Internet of Things | |
| CN108132028A (en) | A kind of Intelligentized regulating and controlling method of agricultural production process | |
| Alhassan et al. | Effects of irrigation frequency and nitrogen fertilizer application on yield and water use efficiency of lowland rice (Oryza sativa L.) in Northeastern Nigeria | |
| CN104472347A (en) | Strong-ratoon sugarcane hybrid line screening method | |
| CN103704006A (en) | Cultivation method capable of preventing celery cabbage clubroot diseases from occurring | |
| CN103650730A (en) | Method for carrying out fertilizer application in accordance with crop projection area and plant height | |
| CN203720632U (en) | Field management system for traditional Chinese medicine decoction pieces based on Internet of Things technology | |
| Bakare | Machine learning-based smart irrigation system and soil nutrients analysis to increase productivity in agriculture field | |
| CN109122291A (en) | The selection of sightseeing type white flower cabbage type rape, information data analysis method | |
| Seewiseng et al. | The water footprint of oil palm crop in Phetchaburi province | |
| CN103650732A (en) | Method for carrying out fertilizer application at vegetative growth phase in accordance with diameters of crop stalks | |
| CN103202202B (en) | Red jujube planting method in gradually sparse mode on oasis belt of arid region |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| WW01 | Invention patent application withdrawn after publication | ||
| WW01 | Invention patent application withdrawn after publication |
Application publication date: 20190101 |