IoT distributed crop growth temporal dynamic phenotype monitoring system

NegotiableUpdate on 12/20

Model

Nature of the Manufacturer: Producers

Product Category

Place of Origin

Online Consult

Overview

The IoT distributed crop growth temporal dynamic phenotype monitoring system is a field fixed phenotype monitoring device that can continuously monitor plant phenotypes over a long period of time. It can capture plant phenotypes at the genetic level; Under the interaction of the environment, the system presents spatiotemporal dynamic changes. It integrates high-resolution cameras and is equipped with sub modules such as atmospheric temperature and humidity, soil temperature and humidity, and GPS locators. It can collect plant phenotype images in the field while synchronously collecting environmental parameters such as geographic information, air temperature/humidity, and soil temperature/humidity.

Product Details

1、 Product Introduction

IoT distributed crop growth temporal dynamic phenotype monitoring systemIt is a field fixed phenotype monitoring device that can continuously and dynamically monitor plant phenotypes over a long period of time. It can capture the spatiotemporal dynamic changes of plant phenotypes under gene environment interaction. The system integrates a high-resolution camera and is equipped with sensor sub modules such as atmospheric temperature and humidity, soil temperature and humidity, and GPS locator. It can collect environmental parameters such as geographic information, air temperature/humidity, and soil temperature/humidity while collecting field plant phenotype images.IoT distributed crop growth temporal dynamic phenotype monitoring systemIt can achieve dynamic tracking of key targets such as plant height dynamics, leaf color changes, and flowering processes at the plant canopy and organ scales, as well as dynamic extraction of important traits. It can be applied to large-scale, high-precision, and long-term germplasm resource identification, precision breeding, and other fields.

2、 Functional Features

1. 360 ° full field of view acquisition:The device is equipped with a 360 ° rotating pan tilt, which automatically rotates and collects data to detect the dynamic growth status of plants in at least 4 residential areas within a 360 ° range around the device;

2. Long schedule collection:No wired power supply is required. The system is equipped with a 50W double-layer solar panel and a 50AH lithium battery module, which can maintain continuous image acquisition for 3-5 days under continuous rainy and cloudy conditions;

3. Optional networking:It can run on a single unit or be networked with multiple units to simultaneously capture high-definition images;

4. Real time monitoring of environmental data:Equipped with air and soil temperature and humidity sensors, it can independently monitor the air and soil temperature and humidity in various surrounding communities;

5. Key algorithm matching:Develop multi-scale phenotype extraction algorithms for crops such as rice and wheat, collect photos and transmit them in real-time to supporting servers, achieve cloud storage and analysis of data, and download raw images and extracted phenotype feature parameters to the local system anytime and anywhere for researchers to conduct in-depth analysis;

6. Phenotypic parameter collection:Widely used in field crops such as wheat, rice, corn, soybeans, cotton, and rapeseed, for phenological period determination, plant height, leaf area index (LAI), total green leaf area, total yellow leaf area, green leaf area ratio, leaf aging degree, spike leaf segmentation, spike count, spike leaf ratio, etc;

7. Data Security:The data adopts a secure transmission mode, with unlimited storage capacity to ensure both user needs and data security;

8. Customized design:We can cooperate with user experiments to carry out requirement design, customize different experimental testing plans according to different crops, develop customized software, and ensure long-term updates and upgrades of all software.

3、 Technical parameters

1. Visible light imaging unit:

Pixel count: 24 million

Resolution: 6400 * 4000

Pixel size: 14.8 μ m

Focal length: Auto focus

Field of view angle: 60 °~120 °

Sampling frequency: customizable, achieving sampling per second;

Scope of assignment: All small canopy and single leaf scales within a 360 degree field of view (3m) centered on the camera

2. Environmental monitoring sensors:

Soil moisture measurement range: 0~100%, accuracy: ± 2%;

Soil temperature measurement range: -15~65 ° C, accuracy: ± 1 ° C;