Cover large areas daily with up-to-date data across the entire season
Distinguish and classify between different crop species and weeds
Identify nutrient deficiencies using advanced spectral signature
Get field-level details to observe changes in health status of the crops
Forecast pest infestations and identify crop diseases before they become a serious menace
Daily localised data coverage for targeted problem-solving
Efficient crop management for enhanced classification and productivity
Nutrient deficiency detection for optimised fertilisation
Field-level health monitoring with timely identification and disease mitigation
Data-driven pest forecasting to maximise yields
Inefficient resource allocation and soil degradation: Lack of crop performance data and intensive farming leads to depleted soil health and wasteful use of water, land, and energy, decreasing productivity and resilience.
Environmental degradation and extreme weather events: Limited technology and data access impede sustainable practices and climate-resilient strategies, negatively affecting ecosystems.
Disease and pest outbreaks: Insufficient data delays timely intervention efforts, risking crop yields and food security.
Unmonitored agricultural practices: Inadequate monitoring leads to deceptive practices, compromising transparency and accountability.
Crop variety classification (Tubarjal, Saudi Arabia)
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Crop variety classification (Tubarjal, Saudi Arabia)
Pixxel’s imaging satellites capture information across 250+ spectral bands, providing accurate crop classification data and promoting the adoption of sustainable farming practices.
Hyperspectral images of croplands help decision-makers identify highly localised in-field patterns and region-specific trends, ensuring precise problem detection, effective agricultural planning and environmentally responsible farming. This technology also supports continuous variation tracking to improve operational efficiency throughout the growing season.
With a 5-meter spatial resolution, Pixxel’s satellites provide detailed insights into crop variations, biochemical composition, and health.
Hyperspectral data detects nutrient deficiencies, vegetation stress, and soil imbalances, allowing timely interventions to optimise yields, reduce costs and allocate resources efficiently. Continuous monitoring supports precise actions to better crop health, support soil regeneration, and maintain long-term agricultural success.
Pixxel’s hyperspectral satellites offer daily revisit frequency anywhere on the planet, which is essential for detecting and forecasting crop and agricultural diseases and pests.
Hyperspectral technology provides timely information on pre-symptomatic disease detection, enabling early intervention to prevent significant threats and minimise crop losses. Access to hyperspectral data allows agronomists to experiment with and monitor crop varieties against biotic and abiotic stressors, maximising yields every harvest period.
Pixxel's hyperspectral technology delivers 50X more data than conventional satellites, enabling precise crop species and variety classification.
Plant health: Measure chlorophyll, photosynthesis, and evapotranspiration rates.
Soil health: Assess nutrients, soil characteristics, and water content.
Effluent monitoring: Detect seepages like hydrocarbons and nutrient leeching.
Early crop stress detection: Identifies stress before physical symptoms, facilitating timely intervention.
Explore Pixxel's hyperspectral imaging satellites and their transformative applications in agriculture. Learn how Pixxel's technology can secure a future of abundant, environmentally responsible and profitable farming ventures.
Contact us to learn more and take the first step towards revolutionising your agricultural practices.
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