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Tuesday, March 21, 2023

"Harvesting the Benefits of Advanced Geospatial Solutions in Agriculture"

Agriculture has always been a cornerstone of human civilization, yet it is now facing unprecedented challenges in the form of climate change, soil health degradation, and crop health issues. As a result, the need for geospatial solutions to these problems has become increasingly important. Geospatial technology offers an effective way to gain insights into land use patterns, soil characteristics and crop health trends, helping farmers make better decisions about how to use resources more efficiently. 

What is Geospatial Technology? 

Geospatial technology, often referred to as Geographic Information Systems (GIS), is a rapidly developing field of technology that uses data from satellites located in orbit around Earth and combines it with data acquired from ground-based sources such as land surveys or aerial photography and geo databases to collect, analyze, and present spatial or geographical data. It enables the user to visualize patterns, trends, and relationships within data layers that are not always visible in traditional datasets. Geospatial technology is a rapidly developing field of science that uses geographic information systems (GIS) and remote sensing technology to acquire, analyze and manage data related to the Earth's environment. Geospatial technology has many applications in various industries, such as agriculture, urban planning, transportation, disaster management, etc. 

Geospatial technology improves crop yields with precision farming techniques and soil analysis in agriculture. Early warning systems can be developed with this technology, allowing farmers to make timely decisions on when to irrigate their crops or apply fertilizers. By utilizing the data gathered from satellites or aerial surveys, farmers can keep track of soil fertility levels and predict changes in water availability throughout the season. This helps them distribute resources more efficiently while maximizing their crop yield potential. 

Benefits of GIS in Agriculture 

Geographic Information Systems are gaining traction when it comes to the agriculture industry. With its many benefits, GIS helps farmers and other stakeholders in the agri-business to make informed decisions quickly and accurately.  

One of the main benefits of GIS in agriculture is that it can monitor and assess climate change on crop production. Climate-smart agriculture increasingly relies on technological systems like GIS to help identify potential problems related to climate change, such as extreme weather events or droughts that may negatively affect crops. By using these tools and data, farmers and agriculture industry decision-makers can make more informed decisions about how best to manage their land for sustainable crop production. 

Challenges of Adopting GIS Solutions 

The agricultural industry is constantly evolving, and in recent years, the adoption of Geographic Information Systems (GIS) solutions has been gaining traction. GIS technology offers the agriculture industry many benefits, including increased efficiency, cost savings and more accurate decision-making. However, it is not without its challenges. 

The primary challenge for many farmers wanting to adopt GIS solutions into their operations is that geographical data is often limited or incomplete in rural areas due to satellite image coverage frequency. This can limit the effectiveness of GIS applications, such as crop monitoring and yield analysis, which require data from various sources. Another challenge facing farmers who want to use GIS technology is an inadequate technical knowledge level among producers and service providers, which can make implementation difficult. Finally, economic constraints are another factor preventing some users from taking advantage of the benefits that come with using GIS technology in their operations. 

Geospatial Technologies and Crop Management 

Geospatial technologies have become increasingly crucial in crop management. Specifically, remote sensing and Internet of Things (IoT) devices provide farmers with detailed information to guide their decisions on how best to manage crops. The combination of these two systems together allows for a comprehensive view of the health of crops and farms.  

Remote sensing involves collecting data from aerial or satellite images that are then analyzed with computer algorithms to create maps that can track environmental changes, such as soil moisture levels or temperature. IoT devices allow for continuous monitoring of crop conditions and provide real-time feedback on a variety of factors, including air and soil temperature, humidity, nutrient content, and pest infestations. This data is transmitted back to farmers giving them an up-to-date picture of what is happening on their land. 

Precision Farming with GIS 

Precision farming with GIS is an innovative way of utilizing geographic information systems (GIS) to increase the efficiency and quality of crops by limiting environmental risks. This method, also known as climate-smart agriculture, helps farmers maximize their yields while minimizing pesticides, fertilizers, and other resources. 

Using GIS technology, precision farming allows farmers to analyze factors such as soil fertility and weather conditions to make better decisions regarding planting and harvesting. With this tool, they can identify areas that require more water or fertilizer than others to optimize crop production. Additionally, it enables them to create detailed maps of their land so they can monitor changes over time and adjust accordingly. By utilizing this approach towards agriculture, farmers can reduce costs while increasing yields sustainably. 

Remote Sensing for Crop Monitoring and Analysis 

Remote sensing has become a powerful tool for crop monitoring and analysis. It allows farmers to track the health of their crops and estimate yields, providing valuable insight into how to maximize crop production. The primary benefit of remote sensing technology is its ability to examine crops from afar, saving time and resources that would otherwise be used for field inspections. 

Using remote sensing data, farmers can access information such as soil moisture levels and nutrient levels and even predict future yield potential. This helps them identify areas where crops suffer from pests or disease outbreaks earlier than traditional methods could detect. In addition, combining data from multiple sources, such as drones or satellites, with field measurements gives farmers a better understanding of overall crop health and can act if needed. Remote sensing also provides insights into water use efficiency through real-time monitoring of water usage patterns in fields over time. 

Conclusion: The Impact of GIS on Agriculture 

In conclusion, GIS has had a significant impact on agricultural practices. From providing more precise data for soil mapping to helping farmers better manage their land, GIS technology is transforming how farmers work. It has also increased efficiency in farm operations and improved sustainability. GIS technology provides a powerful tool for increasing agricultural productivity and strengthening food security by enabling farmers and decision-makers to make more informed decisions about land use and resources. 

Tuesday, December 7, 2010

Map Projection parameters for handheld GPS used in Sri Lanka

This post is about configuring your GPS according to Sri Lanka Kandawala projected coordinate system. Applying parameters to the GPS is crucial because GPS's are giving their positions according to the WGS84 Geographic coordinate system. Surveyors in Sri Lanka cannot use WGS84 ellipsoid because it is nearly 100m away from the actual geoid. (Refer below image)





The closest geographic coordinate system to the Sri Lanka is Everest 1830. Therefore we must use Everest 1830 as the geographic coordinate system and Kandawala Datum as the projected geographic coordinate system.

Now lets look in to question what is Kandawala datum;

Kandawala datum uses Piduruthalagala as its base point of False northing and easting. In the beginning, Survey department used 0N, 0E as its location. Due to negative coordinate values in south west region they changed it to 200,000N, 200,000E. This Projected coordinate system got its name as Kandawala because Sri Lanka's principal triangulation started from Kandawala base point.

The map projection we use in Sri Lanka is Transverse Mercator Projection. Parameters of Transverse Mercator Projection are as follows;

Central meridian,

Latitude 7 ° 00’ 1.729” N
Longitude 80° 46’ 18.160” E

Scale 0.9999238418

False Northing 200000 m
False Easting 200000 m

Three Parameter Transformations
WGS84 -Everest

Dx=-97
Dy = 787
Dz = 86
Da = 860.655
Df = 0.00002836


Seven Parameter Transformations
WGS84 -Everest

Dx=0.2933
Dy= -766.9499
Dz = -87.7131
Rx= 0.195704”
Ry= 1.695068”
R= 3.473016”
Scale=0.039 ppm

Above settings are valid for most of the handheld GPS’s in today’s market. Yet when it comes to Garmin handheld GPS receivers, you will notice that there is no way to insert latitude of central meridian. Garmin GPS receiver take default value 0° 00’ 00” N as its central meridian when its suppose to be 7 ° 00’ 1.729” N. To compensate this error we can change false northing. Therefore in Garmin GPS receivers false northing and easting should be (-573992.000N) and 200000.000E respectively.