Smart Agriculture: Agricultural, Forestry, and Animal Husbandry Data Visualization Platform
Digital agriculture is a contemporary approach to agriculture that incorporates information and data as essential components of agricultural production. It uses modern information technology to visualize, digitize, and manage the agricultural production process in real-time. It effectively integrates information technology with different stages of agricultural production, playing a crucial role in transforming traditional agriculture and modifying agricultural production methods.
Final Output
Hightopo software uses the self-developed “HT for Web” graphic engine, along with GIS and remote sensing technology, to create an interactive platform for analyzing agricultural data. This platform offers various displays for viewing plots, analyzing seeding, managing livestock, and querying equipment. Additionally, it provides practical reference information for seeding and management. By integrating agricultural project and business system data, it aims to achieve the objectives of efficient use of agricultural resources, cost reduction in production, improvement of the ecological environment, and enhancement of crop yield and quality.
This platform combines the power of data analysis and satellite observation technology to convert the physical world into a digital virtual world through visualization and intelligent data analysis.
HT for Web’s geographic information system (GIS) product supports various types of map services. It presents GIS data in visually appealing ways and overlays, introducing new patterns to spatial information analysis. It can easily and accurately display information such as latitude and longitude, as well as the distribution of agriculture, forestry, and animal husbandry in different regions. Additionally, it combines the benefits of lightweight BIM data, integration of 3D videos, and seamless integration of 2D and 3D technologies. It offers diverse representations of extensive POI data, traffic data, planning data, and real-time data in the GIS system.
Home page
The home page shows four key modules: Land Summary, Planting Analysis, Livestock Management, and Equipment Management. Users can simply click on each module to access the relevant monitoring information.
Click on the map module to view the geographical locations of 10 village collectives in the entire region. Use the name button of the farm to zoom in and view detailed information about the village collectives within the farm. The integration of 3D scenes and GIS layers enables smooth switching, making it suitable for various business scenarios.
The page supports the ability to switch between different theme colors, allowing users to easily choose between a light mode or a dark mode based on their preferences. This enables them to enjoy a comfortable interface in various environments.
The data analysis page offers comprehensive displays of statistical information about farmland, quarterly planting ratios, and the number of agricultural machinery and projects for each farm. By presenting clear and detailed data, it accurately reflects the agricultural conditions of each farm and provides a more precise foundation for farm management and decision-making.
Land Summary
The smart agriculture solution utilizes land parcels as monitoring units. It is developed using “HT for Web” visual graphics engine and is designed to take advantage of the geographical distribution characteristics and patterns of farmland, enabling the establishment of land parcel interface control scenarios.
The map scene shows the land use types of 10 farms, including farmland, woodland, grassland, built-up land, industrial land, commercial land, residential land, public facility land, and water bodies. Each land use type is represented by a different color. For example, by clicking the “Farmland” button in the “Land Types” section on the left side of the page, only the farmland information for all farms will be displayed in the scene. This allows users to easily select and view the distribution of farmland locations at a glance.
The 2D data analysis page provides users with a real-time dynamic display of statistical data, land area, ranking of commercial land proportion, and land certificates for 10 farms. This allows users to compare different farms and easily understand their operating conditions and development potential. Hightopo’s chart components simplify the data and save users a lot of search time, enabling precise command using a “one-picture” style.
Planting Analysis
The Planting Analysis module can be used to analyze crop cultivation. It can help farmers assess optimal planting conditions for various crops, including soil temperature, microbial activity, crop development, and crop yield prediction, among other factors. It provides a clearer understanding and management of the farm’s land resources. It assists farmers and field operators in optimizing crop planting schemes, ultimately enhancing field productivity and economic benefits.
Satellite Data
In a 3D scene, different types of land and crops are visually represented. Users can easily determine the type of crop planted on a specific plot by observing its color and icon. By zooming in using the mouse scroll wheel, users can also view the plot code of the planted plot. The system has utilized color overlay classification on the plot layer, which is based on satellite data.
■ Ground Temperature Status: Display and monitor ground temperature thresholds by overlaying remote sensing soil temperature layers in a 3D view. Different temperature stages are indicated with various colors for easy identification of areas with unusual ground temperature. When combined with system monitoring and alert functions, this enables users to quickly identify potential problems and risks, and take necessary actions for prevention and resolution.
■Microbial Activity: The different areas can be easily distinguished by the color-coded blocks, which indicate the level of microbial activity. This is an important indicator that reflects the overall soil health and the vitality and activity of microorganisms. Utilizing this system allows for a more accurate assessment of soil quality and ecosystem health.
■Crop Development Forecasting: This involves predicting the future development or changes that may occur during the growth process of crops. It can be useful for users to plan the targeted sowing of crops and provide a scientific basis for monitoring the quality of agricultural production.
■Crop Distribution and Yield Prediction: Show the names of each plot along with the predicted future yield to enhance users’ understanding of vertical farm yield prediction in a more intuitive way.
Satellite data observation technology is revolutionizing the field of plant science research. Hightopo offers phenotype data based on plants, enabling the application of various analyses in digital twin scenarios with precise measurements at the centimeter level to assess crop characteristics throughout the entire growing season. It assists users in real-time monitoring of crops and soil at both macro and micro levels, thereby providing more precise information on the speed of plant maturity and cyclical changes.
Monitoring Details of Each Plot
Click on the appropriate land parcels to access planting details, such as crop information schedules, nutrient elements of each farm, crop yield estimates, and other indicator information. This will assist farmers and herders in gaining a better understanding of how crops perform in specific environments.
In the data analysis page, you can find rankings of key crop farm yields and data on the fluctuation of key crop yields in recent years. This information is provided to help users access timely data on crop planting areas, balance food regions, and predict agricultural productivity.
Livestock Management
The map scene shows different 3D models of various pastures. Users can easily find each pasture using “HT for Web” and click on the respective pasture name in the 3D panel to switch to that specific location.
Double-click on the respective pasture to access the analysis page for that pasture. The page provides the following data information: cattle information, ranking of feeding volume, number of cow pairings, and a chart of cattle breeding records. Dynamic charts, along with 2.5D SCADA diagrams, summarize and analyze the breeding data of the cattle population. By utilizing data cloud storage and mobile office capabilities, the pasture achieves the requirements for remote visualization, production transparency, and scientific management. This effectively enhances the production efficiency of the pasture.
The “HT for Web” enables seamless cross-platform operations, providing convenient access to scenes on mobile devices. Users can effortlessly perform actions such as single-finger rotation, two-finger zooming, three-finger panning, and more on touchscreen devices. This eliminates any concerns regarding different interaction modes across platforms.
The data analysis page enables users to switch between the cowshed module on-demand. It provides detailed displays of relevant data information within each farm, including feeding volume, species and colors, milk production, statistics on abnormal cattle in each farm, monthly disease rate, and recovery rate statistics. The page can promptly alert and track detected abnormal key indicators. The Hightopo agricultural data visualization platform aims to improve the reusability of data resources. It can display performance indicators of various metrics in multiple dimensions and layers, in a comprehensive manner, to reduce operating costs and enhance overall farm management.
Equipment Management
By combining GPS, 5G, machinery status monitoring sensors, and deeply integrating agricultural machinery equipment, we can achieve real-time display of various agricultural machinery equipment (such as harvesters, tractors, sprayers, mowers, transport vehicles, forklifts, etc.) on a map using latitude and longitude coordinates combined with GIS. At the same time, we can obtain and analyze real-time operational data, enabling intelligent decision-making for smart scheduling, operation planning, shift adjustments, and other business operations.
The data analysis page showcases a variety of charts. It utilizes multidimensional data, including space, time, and indicators, to visually represent and graph relevant information about agricultural equipment. This includes the quantity and proportion of agricultural machinery on each farm, the proportion of harvest, and the number of agricultural machinery being used on each farm.
Summary
The use of the Hightopo Agricultural, Forestry, and Animal Husbandry Data Visualization Platform enhances agricultural production efficiency and promotes the rational utilization of resources. It also helps reduce waste and optimize the ecological environment. By utilizing real-time and dynamic agricultural big data, we can create a comprehensive map for managing agricultural resources. This enables farmers and herdsmen to gain a better understanding of the farm environment and crop conditions. As a result, it effectively solves the challenges of time-consuming and labor-intensive manual data statistics. Additionally, it addresses the issues of untimeliness and inaccuracy, thus improving work efficiency and the quality of seeding. This management approach is expected to have a significant impact on transforming agricultural production methods and driving the development of agriculture towards a more efficient, environmentally friendly, and sustainable direction.
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