- Precision Farming – Harvesting more bushels per acre while spending less on fertilizer using precision farming and software. (SST Software)
- Disease Control – Combating the spread of pests through by identifying critical intervention areas and efficient targeting control interventions.
- Swiss Alps Farming – Cultivating south-facing slopes in the Swiss Alps using aspect data because it shelters from cold and dry winds which is critical to successful crop growth.
- 3D Scanners for Biomass – Measuring with laser accuracy 3D biomass using the FARO scanner. (FARO Scanner 3D Measurements)
Real-time Crop Yields – Shifting to real-time crop monitoring and targeted, automated responses with drones and precision watering sensors.
- Current Food Security – Safeguarding food insecure populations by establishing underlying causes through satellite, mobile-collected and GIS data storage. (World Food Programme Food Security)
- Agri-tourism – Navigating through crop mazes with GPS receivers in the developing field of agritourism. (GPS Crop Mazes)
- Plant Hardiness – Defining distinct boundaries in which plants are capable of growing as defined by climatic conditions.
- Machine Performance – Logging geographic coordinates of agricultural machinery in a farm field to better understand the spatially variability cost of field operation and machinery performance.
- Future Food Demand – Diagnosing the future food demand and planning how to fulfil the needs of a growing and increasingly affluent population. (Feeding the World Story Map)
- Crop Assimilation Model – Simulating soil, water and crop processes to better understand crop productivity and monitoring using the Crop Assimilation Model tool in GRASS GIS.
- Water Stress – Balancing the ratio of local withdrawal (demand) over the available water (supply). (World Resources Institute’s Water Stress Map)
Historical Agricultural Land – Plotting the historical and future farming trends served. (World Bank Agricultural Land Use)
- Hunger Map – Raising awareness about global hunger and places that are in need. (FAO Hunger Map)
- Agromap – Breaking down primary food crops by sub-national administrative districts and aggregating by crop production, area harvested and crop yields. (FAO Agromap)
- Crop Resilience to Climate Change – Adapting to climate change and shifting weather patterns by promote the continued health of your fields.
Crop Productivity – Calibrating crop productivity using indices like Normalized
- Difference Vegetation Index (NDVI) to estimate global crop productivity. (Satellite Image Corporation AgroWatch Green Vegetation Index)
- Erosion-Productivity Impact Calculator (EPIC) – Prioritizing cropland conservation program implementations through “Model Simulation of Soil Loss, Nutrient Loss, and Change in Soil Organic Carbon Associated with Crop Production”.
- Agriculture Capability – Classifying the varying potential for agricultural production using the Canadian Land Inventory. (Canadian Land Inventory)
Ranch Pasture Management – Collecting soils types, fence lines, roads and other data for better management for more meaningful reports and maps.
- Agricultural Pollution – Quantifying the impacts on climate and the environment from agricultural pollution.
- Agriculture Revenue – Determining the Effective Opportunity Cost relating to deforestation and potential agricultural revenue. (IDRISI GeOSIRIS for REDD)
- Irrigation – Capturing irrigation infrastructure for land management decisions more than two-thirds of the world’s freshwater withdrawals are for irrigating crops.
- Farm Preservation – Establishing farm priority zones by analyzing the local farming landscape and constructing criteria for high-quality farming areas.
- Versatile Soil Moisture Budget – Simulating soil moisture conditions of cropland areas taking into account evapotranspiration, rainfall, runoff and other factors.
Drought – Minimizing the impact of drought by analyzing the spatial distribution of rainfall and real-time sensors like SMAP, SMOS and synthetic aperture radar.
- CropScape – Estimating acreage of crop types and spatial distribution using satellite imagery with National Agricultural Statistics Services. (USDA NASS CropScape)
- Crop Forecasting – Predicting crop yields using NDVI, weather, soil moisture, soil types and other parameters.
- Organic Farming – Managing various sources of data for organic farming permits including tillage history, field inputs, crop rotations, and pest management measures on a field-by-field basis.
- Agricultural Non-Point Source (AGNPS) Model – Predicting the effects of agriculture on water quality using Agricultural Non-Point Source pollution model in MapWindow
- Drainage Ditches – Tracing farm field drainage lines using stereo imagery in MicroImages TNTMips. (TNT Stereo Viewing Tools)
- Length of Growing Period – Meeting the full evapotranspiration demands of crops when average temperatures are greater or equal to 5°C and precipitation plus moisture store in the soil exceed half the potential evapotranspiration.
Updated on : Jul 09, 2016 View : 354