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Automated Crop Type Detection

Welcome to our cutting-edge automated crop type detection system, revolutionizing the agricultural industry with its precision and efficiency. Leveraging state-of-the-art satellite imagery technology, we offer a comprehensive solution for identifying over 350 crop types with unprecedented accuracy. Over the past decade, we have meticulously mapped more than 80 countries, providing invaluable insights into global agricultural trends

How it works

Crop Identification – Accurately identify crop types across fields using satellite imagery and AI/ML models

Extensive Crop Library – Detect over 400 crop varieties including common and regionally specific crops

Large-Scale Monitoring – Map crop types efficiently across entire operations spanning thousands of acres

Early Season Detection – Identify newly planted crops soon after emergence

Acreage Calculation – Determine precise acreage under cultivation for each crop type

Integration Ready – Sync crop data with farm management software and equipment

Time/Cost Savings – Replace tedious manual crop surveys with automated remote sensing

Book A Demo

Why To Use

Increase Efficiency

Satellite crop monitoring allows farmers to quickly and accurately assess the health, growth, and yield of crops over large areas of land. This can help them make informed decisions about where and when to apply fertilizers and pesticides, as well as where to focus their efforts for the best results.

Cost Savings

By using satellite data to identify areas of crops that need more or less attention, farmers can save money on fertilizers, pesticides, and other inputs. This can help them increase profitability and reduce waste. Map My Crop currently helps farmers and agro corporate reduce the crop input cost by 40 % using the advanced VRA Maps which divides the farms into 3 to 7 zones depending on user.

Better Yield

With better information about crop health and growth, farmers can make adjustments to their farming practices to optimize yield and quality. This can lead to higher profits and more consistent crop quality using sustainable agriculture practices. We help grow better yield sustainably using our AI ML Model with focus on low productivity areas to boost output.

Early Detection

By monitoring crops on a regular basis, farmers can identify problems such as disease, pests, or water stress early on. This allows them to take corrective action before the problem becomes more severe and affects yield.

Customized Recommendations

Real-time agriculture advisory can be customized to the specific needs of each farmer and each field. This can help farmers to target their efforts more effectively and make the most of their resources.

Improved Decision-Making

Real-time agriculture advisory provides farmers with the information they need to make quick and informed decisions about their farming practices. This can help them optimize crop yield, reduce risk, and increase profitability.

Key features of Automated Crop Detection with Satellite

Our system can detect and classify over 350 crop types, providing a granular understanding of agricultural landscapes.

  • Enhanced Productivity: By accurately identifying crop types and monitoring their health, farmers can optimize inputs, implement targeted interventions, and maximize yields.

With over 80 countries mapped and continuously expanding, our database offers comprehensive coverage of major agricultural regions worldwide.

  • Resource Efficiency: Precise crop mapping enables efficient allocation of resources such as water, fertilizers, and pesticides, reducing waste and environmental impact.

Leveraging advanced algorithms and machine learning models, our system delivers precise crop identification results, minimizing errors and false positives.

  • Risk Mitigation: Early detection of crop diseases, pests, or environmental stressors allows for timely intervention, minimizing potential losses and preserving farm profitability.

Users can access real-time updates on crop distribution and health, facilitating proactive decision-making and resource allocation.

  • Data-Driven Decision Making: Access to comprehensive crop data empowers stakeholders with actionable insights for strategic planning, market analysis, and policy formulation.

Whether accessed through our app, software interface, or API, our solution is designed to scale seamlessly to meet the needs of individual farmers, large-scale agribusinesses, and government agencies alike.

  • Sustainability: By promoting precision agriculture practices and optimizing land use, our solution contributes to sustainable farming practices and conservation of natural resources.

Historical data spanning a decade allows for trend analysis, seasonal variations, and long-term planning, empowering users with valuable insights into agricultural dynamics.