ORBISAT
Precision farming based on telemetry and satellite images
In a world with a constantly growing population and increasing demand for food, efficient management of agricultural resources is of utmost importance. Likewise, the nature of crop biomass is subject to changes throughout the growth cycle due to various stressors and stages of development. Satellite remote sensing technology is presented as a fundamental tool to obtain accurate and timely data on the state of crops, soil and environmental conditions.
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Revolutionizing Agriculture with Satellite Technology
At Orbisat, we are transforming precision agriculture through the use of our advanced satellite technology and vegetation index analysis. Our ability to provide detailed data and daily updates allows farmers to make informed decisions that optimize the productivity and sustainability of their crops.
Why we?
We are passionate experts in satellite observation, collaborating with agronomists and environmentalists. We improve agricultural efficiency with cutting-edge technologies, allowing the health of crops to be measured from pre-season to harvest. We democratize access to satellite observations and create advanced and intuitive tools, offering solutions based on high-frequency data for informed and timely decisions.
Our Technology
At Orbisat, we use multifunctional satellites equipped with high-precision sensors to capture multispectral and hyperspectral images that are processed by advanced artificial intelligence algorithms to provide accurate and actionable data that farmers can use to improve their operations.
Benefits of Precision Agriculture with Satellite Images
Continuous Monitoring: High-resolution satellite data allows you to identify areas with water stress, nutrient deficiencies or pests, and quickly take corrective actions.
Input Optimization: NDVI facilitates the precise application of fertilizers, pesticides and water, improving yields and reducing environmental impact.
Improved Planning: Historical and real-time data allows for better planning of sowing and harvesting, maximizing production and reducing losses.
Water Resources Management: The NDVI identifies specific water needs, allowing for efficient irrigation management and water conservation.
What is NDVI?
The Normalized Difference Vegetation Index (NDVI) is a crucial metric used to evaluate the health and vigor of vegetation. Calculated from satellite images, NDVI measures the density of chlorophyll in plants, allowing farmers to monitor the health of their crops and detect problems before they become significant threats.
Practical Applications of NDVI in Precision Agriculture:
Early Detection of Diseases and Pests: Quickly identify areas affected by disease or pest infestations, allowing for a rapid and targeted response.
Evaluating Crop Growth and Development: Monitor crop growth throughout the growing cycle and adjust agricultural practices as necessary.
Field Zoning for Differentiated Management: Divide your fields into specific management zones based on NDVI variability, optimizing the application of inputs and resources.
Yield Analysis: Compare the performance of different growing areas over time to identify best practices and areas for improvement.
Easy and Accessible Integration
Our cloud-based infrastructure and easy-to-use APIs allow farmers to seamlessly integrate NDVI data and other vegetation indices into their existing farm management systems. Additionally, we offer technical support and training to ensure that users can maximize the benefits of our technology.
Customized Solutions for Agriculture
Orbisat offers personalized solutions adapted to the specific needs of each agricultural operation. From early problem detection to optimizing resource usage, our solutions are designed to provide accurate and reliable results.
Satellite Images for Agricultural Planning
Take advantage of the Orbisat platform to plan the growing season. Crop maps can be analyzed to gain insight into field productivity and health, helping farmers and agronomists identify field patterns and region-specific trends when planning. Orbisat's stream of high-resolution satellite imagery enables precision digital agriculture and pest detection at scale. Access to this daily data supports informed crop management decisions, allowing farmers and agronomists to monitor and maximize the health of their crops each season.
Quantify and analyze productivity in all fields. Define management, planning and practice zones including historical data.
Monitor crop development. Track daily crop health and changes with field-level details.
Detect crop health problems. Detect diseases, pests, and nutrient deficiencies with dense vegetation analysis and vitality alerts.
Generate prescription maps. Create granular variable rate recipes for seeding.
Locate treatments. Identify and respond to growth stages or health problems that need treatment.
Automate crop indices. Leverage Orbisat APIs to automate the production of health indices like NDVI.
Layer with more data. Integrate with IoT and financial data to drive digital farm planning.
Optimize inputs and verify sustainability commitments with Orbisat's wide-area monitoring and granular resolution. Sustainable practices in agriculture can help regenerate soil health, store carbon and reduce environmental impacts. Orbisat's science-level data can help verify the adoption of decarbonization efforts, make it easier for producers to optimize their inputs and make more efficient and ecologically sustainable decisions.
Optimize input usage. Leverage field-level data to avoid overfertilization.
Improve irrigation efficiency. Provide irrigation recommendations to conserve water.
Drive best practices. Evaluate the implementation of conservation tillage and cover crops.
Regular crop monitoring
Monitor the current status of each field, as well as the optimal planning of all agronomic treatments from planting to harvest.
Access to historical data
We provide satellite images, vegetation maps, meteorological data and related indices from current and previous seasons.
Application Maps
Our prescription maps optimize fertilization, fumigation and sowing treatments by locally adjusting the amount of product. This improves crop yields and reduces input use.
Analysis of rentability
Our module allows you to find out where your fields are least profitable and where the profit obtained is greatest.
Water management
The water deficit module allows you to optimize water consumption and estimate losses due to drought.
Alarms
Automatic alarms notify the user about excess temperature level, crop development level, precipitation or other variables.
Zone delimitation
Detection and delineation of field contours.
Crop classification
Determine the type of crop on a regional scale, inventory the crops for any growing season and calculate the number of hectares.
Soil moisture analysis
Make better agricultural decisions and react in time to water stress, thanks to advanced soil moisture analysis.
Harvest monitoring
Monitor the harvest to ensure traceability of the production chain, improve decision making and minimize risks.
Performance prediction
We generate specific productivity and yield analysis models for each crop. We automatically process data to produce NDVI and NDRE, allowing you to accurately assess crop health throughout the growing season.
Soil organic carbon prediction
Predict soil organic carbon dynamics to save up to 90% of soil sampling costs and benefit from carbon credits.
Soil organic carbon maps
Obtain modeling and mapping of soil organic carbon to make crop management more sustainable and generate carbon credits.
Land cover classification
Monitor environmental impact and improve land management with highly accurate land cover classification.
Weather API
Access complete weather analysis for your areas of interest: historical and current data, and the forecast for the next few days.
Zoning API
Create vegetation and productivity maps for variable input rate application.
Other Vegetation Indices Used in Precision Agriculture
In addition to NDVI, Orbisat employs a variety of other vegetation indices to provide a comprehensive view of crop health and development. These indices include:
NDVI (Normalized Difference Vegetation Index)
NDMI (Normalized Difference Moisture Index): Detects moisture levels in vegetation using a combination of near-infrared (NIR) and shortwave infrared (SWIR) spectral bands. It is a reliable indicator of water stress in crops.
NDRE (Normalized Difference Red Edge Index): It is an index to measure the amount of chlorophyll in plants. The best time to apply NDRE is in the middle or late growing season, when plants are mature and ready to be harvested. At this point, other indices would be less effective to use.
RECl (Chlorophyll Index): The chlorophyll index (CI) is applied to calculate the total amount of chlorophyll in plants.
EVI (Enhanced Vegetation Index): Provides a more accurate correction for soil and atmospheric effects compared to NDVI, providing a more robust assessment of vegetation.
SAVI (Soil Adjusted Vegetation Index): Adjusts the influence of the soil on the vegetation signal, useful in areas with little vegetation cover.
NDWI (Normalized Difference Water Index): Used to monitor water content in vegetation, crucial for irrigation management.
GCI (Green Chlorophyll Index): Measures the chlorophyll content in plants, indicating the vigor and health of the vegetation.
MSAVI (Modified Soil Adjusted Vegetation Index): Similar to SAVI, but with additional adjustments to improve accuracy in areas with little vegetation.
ARVI (Atmospheric Adjusted Vegetation Index): Corrects for atmospheric effects to provide a more accurate assessment of vegetation.
TVI (Transformed Vegetation Index): Performs an additional transformation on the NDVI to improve sensitivity to dense vegetation.
NDGI (Normalized Difference Green Index): Used to monitor the amount of green vegetation, useful in detecting water stress and diseases.
RENDVI (Normalized Difference Red Edge Vegetation Index): Uses red edge bands to detect subtle changes in vegetation health, useful in high-precision crop monitoring.
Custom Projects
In a new world of artificial intelligence, neural networks and machine learning, nothing is impossible. Tell us what challenge your organization faces and we will offer you a tailored solution.
Conclusion
Orbisat is at the forefront of precision agriculture, providing farmers with the tools necessary to improve the productivity, sustainability and profitability of their operations. With our advanced satellite sensing technology, NDVI analysis and other vegetation indices, farmers can make more informed and effective decisions, ensuring the long-term success of their crops.
