Horticulture Technology: How GIS Can Help You Win the Farm

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Agribusiness Technology from Location

The present ranchers utilize refined farming innovation since they can set aside time and cash. Horticulture Technology: How GIS Can Help

Since crops are area based, this makes Geographic Information Systems (GIS) an EXTREMELY pertinent instrument for ranchers.

For instance, ranchers use accuracy GPS on the field to save compost. Likewise, satellites and robots gather vegetation, geography, and climate data from the sky.

This information can go into horticulture maps for better direction. We should check out at some other farming innovation models.

1. Information from the Machine – Precision Farming

Farmers use precision agriculture because they can reduce the amount of fertilizer applied to the field.

Not only do farmers save money on fertilizer, but they save the environment from over-application. This is because a lot of the excess fertilizer tends to end up in streams and rivers by runoff.

Precision farming applies fertilizer only where it’s needed. It’s site-specific.

Sensors on a machine gather information about the crops. Also, the GPS gives you the exact position on the field. Precision farming then applies a variable rate of fertilizer to nutrient-deficient sites.

The farmer who uses precision farming can save anywhere in the ballpark of 2-15$ per acre. Over time, this makes an incredible investment.

2.Information from the Sky – Satellites and Drones

Ranchers use accuracy horticulture since they can diminish how much manure applied to the field.Horticulture Technology: How GIS Can Help

Besides the fact that ranchers get a good deal on manure, however they save the climate from over-application. This is on the grounds that a great deal of the overabundance manure will in general wind up in streams and waterways by spillover.

Accuracy cultivating applies manure just where it’s required. It’s site-explicit.

Sensors on a machine accumulate data about the harvests. Additionally, the GPS gives you the specific situation on the field. Accuracy cultivating then applies a variable pace of manure to supplement inadequate destinations.

The rancher who utilizes accuracy cultivating can save anyplace in the vicinity of 2-15$ per section of land. Over the long run, this makes a fantastic venture.

What can drones collect on a field?

  • Plant height, count, and biomass estimates
  • Presence of disease and weeds
  • Plant health and field nutrients
  • 3D elevation and volumetric data

Instead of workers scouting fields, drones can cover more ground. Drones can inspect crop health from the sky and where plant stress is occurring.

Farmers can make actionable decisions on applying nitrogen and monitoring yields. Farmers can use precision watering sensors because they know where it’s needed most. They can combat the spread of pests by identifying critical intervention areas.

One small drone can help make some VERY powerful decisions for farmers.

3. Data online – Real-time mapping

The United States Department of Agriculture (USDA) National Agricultural Statistics Services (NASS) fostered the planning application CropScape where ranchers can get grounds appraisals of yield types. Horticulture Technology: How GIS Can Help

In the application, ranchers can see what harvests are developing where and how much. What’s more, the public authority has additionally utilized CropScape on issues like food security, land cover change, and pesticide control.

Data online – Real-time mapping

On a global scale, the Food and Agriculture Organization of the United Nations AgroMap breaks down primary food crops with its global spatial database of agricultural land-use statistics.

For large-scale planning, online tools like plant hardiness defines suitable climatic growing areas for different types of crops. Likewise, the Canadian Land Inventory was the first GIS data set produced. Its purpose was to classify the varying potential for agricultural production in Canada.

United Nations AgroMap

Modeling – Mashing data sets

Researchers are mashing together various inputs to better model and understand crop production.

NOAA Weather Map

The Crop Assimilation Model (CAM) and Soil-Water-Air-Plant (SWAP) in GRASS GIS serve as crop productivity monitoring tools by simulating soil, water, and crop processes.

The Length of the Growing Period (LGP) is when crops meet the full evapotranspiration demands of precipitation and soil moisture-holding capacity. Each crop type has specific moisture requirements making LGP difficult to calculate.

The Erosion-Productivity Impact Calculator (EPIC) models crop yields and irrigation requirements for climate change. While the Agricultural Non-Point Source (AGNPS) Model predicts the effects of agriculture on water quality.


Baseline Soil Moisture

And the Versatile Soil Moisture Budget (VSMB) simulates soil moisture conditions of cropland areas taking into account evapotranspiration, rainfall, runoff, and other factors.

Geographic Information Systems assist decision-support. Reducing Emissions from Deforestation and forest Degradation (REDD) by IDRISI determines the opportunity cost of potential agricultural revenue versus deforestation.

Aspect and microclimate can locate potential areas that can be harvested like the south-facing slopes of the Swiss Alps. The south-facing slopes shelter from cold and dry winds which is critical to successful crop growth.

Meeting Future Food Demand

How can we fulfill the needs of a growing and increasingly affluent population? Agriculture technology is helping diagnose food security like in this Feeding the World Story Map.

Arable Land
Arable Land in Saudi Arabia where 80% of its water goes to agriculture | Image Credit: USGS

Can we learn from historical imagery and data? Landsat satellite data provides a unique view of historical agricultural land. When you plot historical trends of land use over time, is there enough arable land to serve a growing population?

Maps serve the purpose of raising awareness about global hunger and places that are in need like the FAO Hunger Map and World Food Programme Food Security Analysis.

Overall, satellite, mobile collection, and GIS data are safeguarding food-insecure populations by establishing underlying causes.

Conclusion – Agriculture Technology

Precision farming, satellites, drones, web maps, and sophisticated models – this list represents some of the agriculture technology that farmers and researchers use today.

The modern-day farmer needs to understand a lot more than just what to seed – soils, weeds, nutrients, weather, insects, disease, machinery, and climate.

These emerging trends provide the location intelligence farmers need to get the job done faster and with more knowledge.

What are some of the other growing trends for agriculture technology that you know of?

Source GISGeography
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