Drainage Ditches – Tracing farm field drainage lines using stereo imagery in MicroImages TNTMips. Agricultural Non-Point Source (AGNPS) Model – Predicting the effects of agriculture on water quality using the Agricultural Non-Point Source pollution model in MapWindowģ1. 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.ģ0. Crop Forecasting – Predicting crop yields using NDVI, weather, soil moisture, soil types, and other parameters.Ģ9. CropScape – Estimating acreage of crop types and spatial distribution using satellite imagery with National Agricultural Statistics Services. Drought – Minimizing the impact of drought by analyzing the spatial distribution of rainfall and real-time sensors like SMAP, SMOS, and synthetic aperture radar.Ģ7. Versatile Soil Moisture Budget – Simulating soil moisture conditions of cropland areas taking into account evapotranspiration, rainfall, runoff, and other factors.Ģ6. Farm Preservation – Establishing farm priority zones by analyzing the local farming landscape and constructing criteria for high-quality farming areas.Ģ5. Irrigation – Capturing irrigation infrastructure for land management decisions more than two-thirds of the world’s freshwater withdrawals are for irrigating crops.Ģ4. Agriculture Revenue – Determining the Effective Opportunity Cost relating to deforestation and potential agricultural revenue with IDRISI GeOSIRIS for REDD.Ģ3. Agricultural Pollution – Quantifying the impacts on climate and the environment from agricultural pollution.Ģ2. Ranch Pasture Management – Collecting soil types, fence lines, roads, and other data for better management for more meaningful reports and maps.Ģ1. Agriculture Capability – Classifying the varying potential for agricultural production using the Canadian Land Inventory.Ģ0. 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”.ġ9. ( Satellite Image Corporation AgroWatch Green Vegetation Index)ġ8. Crop Productivity – Calibrating crop productivity using indices like Normalized Difference Vegetation Index (NDVI) to estimate global crop productivity. Crop Resilience to Climate Change – Adapting to climate change and shifting weather patterns by promoting the continued health of your fields.ġ7. Agromap – Breaking down primary food crops by sub-national administrative districts and aggregating by crop production, area harvested, and crop yields.ġ6. Hunger Map – Raising awareness about global hunger and places that are in need.ġ5. Historical Agricultural Land – Plotting the historical and future farming trends served.ġ4. Water Stress – Balancing the ratio of local withdrawal (demand) over the available water (supply).ġ3. 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.ġ2. Future Food Demand – Diagnosing the future food demand and planning how to fulfill the needs of a growing and increasingly affluent population.ġ1. Machine Performance – Logging geographic coordinates of agricultural machinery in a farm field to better understand the spatial variability cost of field operation and machinery performance.ġ0. Plant Hardiness – Defining distinct boundaries in which plants are capable of growing as defined by climatic conditions.ĩ. Agri-tourism – Navigating through crop mazes with GPS receivers in the developing field of agri-tourism.Ĩ. Current Food Security – Safeguarding food insecure populations by establishing underlying causes through satellite, mobile-collected, and GIS data storage.ħ. Real-time Crop Yields – Shifting to real-time crop monitoring and targeted, automated responses with drones and precision watering sensors.Ħ. 3D Scanners for Biomass – Measuring with laser accuracy 3D biomass using the FARO scanner.ĥ. 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.Ĥ. Disease Control – Combating the spread of pests by identifying critical intervention areas and efficiently targeting control interventions.ģ. Precision Farming – Harvesting more bushels per acre while spending less on fertilizer using precision farming and software.
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