GIS drone Agriculture mapping
- Precision Farming –producing more bushels per acre, while using precision farming and software investing less on fertilizers. (Winning the Farm using GIS)
- Control of diseases–Combating the spread of pests through the detection of critical areas of operation and effective control strategies.
- Swiss Alps Farming–Use aspect data to cultivate south-facing slopes in the Swiss Alps, because it shelters from cold and dry winds that are essential to crop growth.
- 3D Biomass Scanners–Laser precision analysis of 3D biomass using the FARO scanner.
- Real-time crop yields-Moving to real-time crop monitoring and guided, automated drone responses and precision watering sensors.
- Current Food Security–Safeguarding food insecure communities by identifying underlying causes via data storage through satellite, mobile and GIS.
- Agri-tourism–Navigating in the growing field of agri-tourism through crop mazes with GPS recipients.
- Plant Hardiness–Defining different boundaries within which plants can grow as specified by climatic conditions.
- Machine performance–Logging agricultural machinery geographic coordinates in a farm area to better understand the spatial variability costs of field operation and machinery performance.
- Future food demand-Diagnosing future food demand and planning how to meet growing and growing needs
- Crop assimilation model–using the Crop Assimilation Model method in GRASS GIS to simulate soil, water, and crop processes to better understand crop productivity and monitoring.
- Water Stress–Balancing the local withdrawal ratio (demand) over the water available (supply).
- Historical Agricultural Land–This helped to map the past and future patterns in farming.
- Hunger Map-Increasing awareness of global hunger and places in need.
- Agromap–Breakdown by sub-national administrative districts of primary food crops and aggregation by crop production, region harvested and crop yield.
GIS drone Agriculture mapping
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