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	<title>crops &#8211; TYC GIS &#8211; GIS, Teledetección y Drones</title>
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	<description>Soluciones con GIS, Teledetección y drones para empresas de diversos sectores.</description>
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		<title>INTEP Training &#124; Precision Agriculture applied to Citrus crops</title>
		<link>https://tycgis.com/en/intep-training-precision-agriculture-applied-to-citrus-crops/</link>
					<comments>https://tycgis.com/en/intep-training-precision-agriculture-applied-to-citrus-crops/#respond</comments>
		
		<dc:creator><![CDATA[TYC GIS]]></dc:creator>
		<pubDate>Wed, 08 May 2024 15:38:51 +0000</pubDate>
				<category><![CDATA[Blog EN]]></category>
		<category><![CDATA[Precision agriculture]]></category>
		<category><![CDATA[TYC GIS® Training and Consultancy]]></category>
		<category><![CDATA[agriculture]]></category>
		<category><![CDATA[Colombia]]></category>
		<category><![CDATA[crops]]></category>
		<category><![CDATA[drones]]></category>
		<category><![CDATA[precision agriculture]]></category>
		<category><![CDATA[remote sensing]]></category>
		<category><![CDATA[training]]></category>
		<guid isPermaLink="false">https://tycgis.com/?p=9749</guid>

					<description><![CDATA[Location: Roldanillo Valle del Cauca (Colombia) Establishment: Instituto de Educación Técnica Profesional Training: Agricultural Administrators, Precision Agriculture Seminar Objective: Show the services and extent of precision agriculture through drones and satellite images. We are pleased to announce the collaboration with Instituto Técnico Agrícola INTEP Roldanillo in Valle del Cauca to fortify the agriculture future through  [...]]]></description>
										<content:encoded><![CDATA[<p style="text-align: justify;">Location: Roldanillo Valle del Cauca (Colombia)<br />
Establishment: Instituto de Educación Técnica Profesional<br />
Training: Agricultural Administrators, Precision Agriculture Seminar<br />
Objective: Show the services and extent of precision agriculture through drones and satellite images. <span id="more-9749"></span></p>
<p style="text-align: justify;">
We are pleased to announce the collaboration with Instituto Técnico Agrícola INTEP Roldanillo in Valle del Cauca to fortify the agriculture future through the implementation of innovative technologies. We are commited to the precision agriculture progress, applying drone and satellite images. This strategic alliance seeks to enhance the training in this key areas, preparing the students for the modern agricultural challenges.</p>
<p><img fetchpriority="high" decoding="async" class="aligncenter wp-image-9673" src="https://tycgis.com/wp-content/uploads/2024/05/4.jpg" alt="" width="650" height="293" srcset="https://tycgis.com/wp-content/uploads/2024/05/4-200x90.jpg 200w, https://tycgis.com/wp-content/uploads/2024/05/4-300x135.jpg 300w, https://tycgis.com/wp-content/uploads/2024/05/4-400x180.jpg 400w, https://tycgis.com/wp-content/uploads/2024/05/4-600x270.jpg 600w, https://tycgis.com/wp-content/uploads/2024/05/4-768x346.jpg 768w, https://tycgis.com/wp-content/uploads/2024/05/4-800x361.jpg 800w, https://tycgis.com/wp-content/uploads/2024/05/4-1024x462.jpg 1024w, https://tycgis.com/wp-content/uploads/2024/05/4-1200x541.jpg 1200w, https://tycgis.com/wp-content/uploads/2024/05/4.jpg 1280w" sizes="(max-width: 650px) 100vw, 650px" /></p>
<p style="text-align: justify;">We share with the students all the precision agriculture methods applied to the lemon crops on the farm, soil analysis, integrated management and drone appications, activities programme is explained, flight programme, velocity and drop size. We are also accompanied by helidrones and the release of the DJI Agras T50 sprinkler equipment. </p>
<p><img decoding="async" class="aligncenter wp-image-9672" src="https://tycgis.com/wp-content/uploads/2024/05/2.jpg" alt="" width="650" height="488" srcset="https://tycgis.com/wp-content/uploads/2024/05/2-200x150.jpg 200w, https://tycgis.com/wp-content/uploads/2024/05/2-300x225.jpg 300w, https://tycgis.com/wp-content/uploads/2024/05/2-400x300.jpg 400w, https://tycgis.com/wp-content/uploads/2024/05/2-600x450.jpg 600w, https://tycgis.com/wp-content/uploads/2024/05/2-768x576.jpg 768w, https://tycgis.com/wp-content/uploads/2024/05/2-800x600.jpg 800w, https://tycgis.com/wp-content/uploads/2024/05/2-1024x768.jpg 1024w, https://tycgis.com/wp-content/uploads/2024/05/2-1200x900.jpg 1200w, https://tycgis.com/wp-content/uploads/2024/05/2-1536x1152.jpg 1536w, https://tycgis.com/wp-content/uploads/2024/05/2.jpg 1600w" sizes="(max-width: 650px) 100vw, 650px" /></p>
<p>If you are interested in recieving training applied to your industry, contact us here <a href="mailto:formacion@tycgis.com">TYC GIS</a> and ask for our training offer.</p>
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		<item>
		<title>Project &#124; Mapsens Agro &#124; Mapping and inventory of oil palm cultivation</title>
		<link>https://tycgis.com/en/project-mapsens-agro-mapping-and-inventory-of-oil-palm-cultivation/</link>
					<comments>https://tycgis.com/en/project-mapsens-agro-mapping-and-inventory-of-oil-palm-cultivation/#respond</comments>
		
		<dc:creator><![CDATA[TYC GIS]]></dc:creator>
		<pubDate>Wed, 31 Jan 2024 12:20:06 +0000</pubDate>
				<category><![CDATA[Precision agriculture]]></category>
		<category><![CDATA[Projects TYC GIS]]></category>
		<category><![CDATA[agriculture]]></category>
		<category><![CDATA[agro]]></category>
		<category><![CDATA[crops]]></category>
		<category><![CDATA[drones]]></category>
		<category><![CDATA[mapsens agro]]></category>
		<category><![CDATA[smart]]></category>
		<guid isPermaLink="false">https://tycgis.com/?p=9605</guid>

					<description><![CDATA[● Location: Meta department (Colombia) ● Surface area: 3000 hectares ● Data source: Drone ● Main objective: Identify living palms and crop failures. ● General objective: Conduct a general inventory of the crop with precise data on the condition of the crop in terms of number of palms ● Date: December, 2023 Data collection is  [...]]]></description>
										<content:encoded><![CDATA[<p style="text-align: justify; padding-left: 40px;">● Location: Meta department (Colombia)<br />
● Surface area: 3000 hectares<br />
● Data source: Drone<br />
● Main objective: Identify living palms and crop failures.<br />
● General objective: Conduct a general inventory of the crop with precise data on the condition of the crop in terms of number of palms<br />
● Date: December, 2023</p>
<p><img decoding="async" class="aligncenter wp-image-9528 size-full" src="https://tycgis.com/wp-content/uploads/2024/01/Imagen1-1.png" alt="" width="526" height="491" srcset="https://tycgis.com/wp-content/uploads/2024/01/Imagen1-1-200x187.png 200w, https://tycgis.com/wp-content/uploads/2024/01/Imagen1-1-300x280.png 300w, https://tycgis.com/wp-content/uploads/2024/01/Imagen1-1-400x373.png 400w, https://tycgis.com/wp-content/uploads/2024/01/Imagen1-1.png 526w" sizes="(max-width: 526px) 100vw, 526px" /></p>
<p style="text-align: justify;">Data collection is perfomed, it gets processed and the inventory is generated identifying living palms with a 1 and failures with a 0, indicating the row and numbering order nomenclature given at the time of planting.</p>
<p><img decoding="async" class="aligncenter wp-image-9527 size-full" src="https://tycgis.com/wp-content/uploads/2024/01/Imagen2-1.png" alt="" width="602" height="403" srcset="https://tycgis.com/wp-content/uploads/2024/01/Imagen2-1-200x134.png 200w, https://tycgis.com/wp-content/uploads/2024/01/Imagen2-1-300x201.png 300w, https://tycgis.com/wp-content/uploads/2024/01/Imagen2-1-400x268.png 400w, https://tycgis.com/wp-content/uploads/2024/01/Imagen2-1-600x402.png 600w, https://tycgis.com/wp-content/uploads/2024/01/Imagen2-1.png 602w" sizes="(max-width: 602px) 100vw, 602px" /></p>
<p style="text-align: justify;">Crop inventory from drone data provides a detailed compilation and valuable information about the condition, health and development of a specific area of the crop. Thin inventory is created from data collected by drones equipped with specialized sensors during planned flights over the areas of interest.</p>
<p><img decoding="async" class="aligncenter wp-image-9526 size-full" src="https://tycgis.com/wp-content/uploads/2024/01/Imagen3-1.png" alt="" width="602" height="401" srcset="https://tycgis.com/wp-content/uploads/2024/01/Imagen3-1-200x133.png 200w, https://tycgis.com/wp-content/uploads/2024/01/Imagen3-1-300x200.png 300w, https://tycgis.com/wp-content/uploads/2024/01/Imagen3-1-400x266.png 400w, https://tycgis.com/wp-content/uploads/2024/01/Imagen3-1-600x400.png 600w, https://tycgis.com/wp-content/uploads/2024/01/Imagen3-1.png 602w" sizes="(max-width: 602px) 100vw, 602px" /></p>
<p style="text-align: justify;">If you wish to know more about our precision agriculture SMART AGRO app, contact us here <a href="mailto:info@tycgis.com" target="_blank" rel="noopener">TYC GIS</a>. SMART AGRO app uses drone, satellite, weather and field sensors data.</p>
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			</item>
		<item>
		<title>Project &#124; Mapsens Agro &#124; Citrus plantation mapping and inventory with drones</title>
		<link>https://tycgis.com/en/project-mapsens-agro-citrus-plantation-mapping-and-inventory-with-drones/</link>
					<comments>https://tycgis.com/en/project-mapsens-agro-citrus-plantation-mapping-and-inventory-with-drones/#respond</comments>
		
		<dc:creator><![CDATA[TYC GIS]]></dc:creator>
		<pubDate>Mon, 29 Jan 2024 11:37:20 +0000</pubDate>
				<category><![CDATA[Precision agriculture]]></category>
		<category><![CDATA[Projects TYC GIS]]></category>
		<category><![CDATA[agro]]></category>
		<category><![CDATA[crops]]></category>
		<category><![CDATA[drones]]></category>
		<category><![CDATA[mapsens agro]]></category>
		<category><![CDATA[smart]]></category>
		<guid isPermaLink="false">https://tycgis.com/?p=9592</guid>

					<description><![CDATA[● Property: La Venta ● Location: Valle del Cauca department (Colombia) ● Surface area: 231 hectares ● Data source: Drone ● Main objective: Identify the amount of trees ● General objective: Conduct the general inventory of the crop with precise data of the crop condition in terms of number of trees and their heighs. ●  [...]]]></description>
										<content:encoded><![CDATA[<p style="padding-left: 40px;">● Property: La Venta<br />
● Location: Valle del Cauca department (Colombia)<br />
● Surface area: 231 hectares<br />
● Data source: Drone<br />
● Main objective: Identify the amount of trees<br />
● General objective: Conduct the general inventory of the crop with precise data of the crop condition in terms of number of trees and their heighs.<br />
● Date: November, 2023</p>
<p><img decoding="async" class="aligncenter wp-image-9520 size-full" src="https://tycgis.com/wp-content/uploads/2024/01/Imagen1.png" alt="" width="602" height="608" srcset="https://tycgis.com/wp-content/uploads/2024/01/Imagen1-66x66.png 66w, https://tycgis.com/wp-content/uploads/2024/01/Imagen1-150x150.png 150w, https://tycgis.com/wp-content/uploads/2024/01/Imagen1-200x202.png 200w, https://tycgis.com/wp-content/uploads/2024/01/Imagen1-297x300.png 297w, https://tycgis.com/wp-content/uploads/2024/01/Imagen1-400x404.png 400w, https://tycgis.com/wp-content/uploads/2024/01/Imagen1-600x606.png 600w, https://tycgis.com/wp-content/uploads/2024/01/Imagen1.png 602w" sizes="(max-width: 602px) 100vw, 602px" /></p>
<p>Data collection is performed. Data is then processed and an inventory is generated identifying every tree and their heighs.</p>
<p><img decoding="async" class="aligncenter wp-image-9519 size-full" src="https://tycgis.com/wp-content/uploads/2024/01/Imagen2.png" alt="" width="544" height="505" srcset="https://tycgis.com/wp-content/uploads/2024/01/Imagen2-200x186.png 200w, https://tycgis.com/wp-content/uploads/2024/01/Imagen2-300x278.png 300w, https://tycgis.com/wp-content/uploads/2024/01/Imagen2-400x371.png 400w, https://tycgis.com/wp-content/uploads/2024/01/Imagen2.png 544w" sizes="(max-width: 544px) 100vw, 544px" /></p>
<p>Citric crop inventory is carried out through the use of drone technology, which allows to collect precise data of the condition and health of the plantation. This method revolutionized the way agricultural data is collected and processed, providing a complete and updated view of the citrus field.</p>
<p><img decoding="async" class="aligncenter wp-image-9518 size-full" src="https://tycgis.com/wp-content/uploads/2024/01/Imagen3.png" alt="" width="521" height="339" srcset="https://tycgis.com/wp-content/uploads/2024/01/Imagen3-200x130.png 200w, https://tycgis.com/wp-content/uploads/2024/01/Imagen3-300x195.png 300w, https://tycgis.com/wp-content/uploads/2024/01/Imagen3-400x260.png 400w, https://tycgis.com/wp-content/uploads/2024/01/Imagen3.png 521w" sizes="(max-width: 521px) 100vw, 521px" /></p>
<p style="text-align: justify;">If you wish to know more about our SMART AGRO app, contact us here <strong> <a href="mailto:info@tycgis.com" target="_blank" rel="noopener">TYC GIS</a></strong>. It uses data from drones, satellites, field sensors and weather.</p>
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		<item>
		<title>Project &#124; Irrigation certification of a farm using satellite images in Albacete, Spain</title>
		<link>https://tycgis.com/en/project-irrigation-certification-of-a-farm-using-satellite-images-in-albacete-spain/</link>
					<comments>https://tycgis.com/en/project-irrigation-certification-of-a-farm-using-satellite-images-in-albacete-spain/#respond</comments>
		
		<dc:creator><![CDATA[Rodrigo Arias Braun]]></dc:creator>
		<pubDate>Sat, 28 Aug 2021 11:34:37 +0000</pubDate>
				<category><![CDATA[Blog EN]]></category>
		<category><![CDATA[GIS]]></category>
		<category><![CDATA[Precision agriculture]]></category>
		<category><![CDATA[Projects TYC GIS]]></category>
		<category><![CDATA[Satellite remote sensing]]></category>
		<category><![CDATA[TYC GIS® Legal advice and appraisal]]></category>
		<category><![CDATA[agriculture]]></category>
		<category><![CDATA[crops]]></category>
		<category><![CDATA[Landsat]]></category>
		<category><![CDATA[precision agriculture]]></category>
		<category><![CDATA[remote sensing]]></category>
		<category><![CDATA[satellite]]></category>
		<category><![CDATA[satellite remote sensing]]></category>
		<guid isPermaLink="false">https://tycgis.com/?p=9278</guid>

					<description><![CDATA[The objective of this project was to analyze the existence of any irrigated crop prior to 1997 in order to demonstrate, before the corresponding Public Administration, the right to an irrigation concession. Used data: o Satellite: Landsat.o Resolution: 30 m/píxelo Bands: VIS, NIR y SWIRo Years: 1990 a 1997.o Period: late spring and summer. Brief  [...]]]></description>
										<content:encoded><![CDATA[
<p class="wp-block-paragraph" style="text-align: justify;">The objective of this project was to analyze the existence of any irrigated crop prior to 1997 in order to demonstrate, before the corresponding Public Administration, the right to an irrigation concession.<span id="more-9278"></span></p>


<div class="wp-block-image">
<figure class="aligncenter size-full" style="text-align: justify;"><img decoding="async" class="aligncenter wp-image-8724 size-full" src="https://tycgis.com/wp-content/uploads/2023/01/proyecto-tele-riego.png" alt="" width="567" height="257" srcset="https://tycgis.com/wp-content/uploads/2023/01/proyecto-tele-riego-300x136.png 300w, https://tycgis.com/wp-content/uploads/2023/01/proyecto-tele-riego-500x227.png 500w, https://tycgis.com/wp-content/uploads/2023/01/proyecto-tele-riego.png 567w" sizes="(max-width: 567px) 100vw, 567px" /></figure>
</div>


<p class="wp-block-paragraph" style="text-align: justify;"><strong>Used data:</strong></p>
<p style="text-align: justify; padding-left: 40px;">o Satellite: Landsat.<br />o Resolution: 30 m/píxel<br />o Bands: VIS, NIR y SWIR<br />o Years: 1990 a 1997.<br />o Period: late spring and summer.</p>


<div class="wp-block-image">
<figure class="aligncenter size-large" style="text-align: justify;"><img decoding="async" class="aligncenter wp-image-8725" src="https://tycgis.com/wp-content/uploads/2023/01/proyecto-tele-riego1.jpg" alt="" width="650" height="231" srcset="https://tycgis.com/wp-content/uploads/2023/01/proyecto-tele-riego1-300x107.jpg 300w, https://tycgis.com/wp-content/uploads/2023/01/proyecto-tele-riego1-500x178.jpg 500w, https://tycgis.com/wp-content/uploads/2023/01/proyecto-tele-riego1-768x273.jpg 768w, https://tycgis.com/wp-content/uploads/2023/01/proyecto-tele-riego1-1024x365.jpg 1024w, https://tycgis.com/wp-content/uploads/2023/01/proyecto-tele-riego1-1536x547.jpg 1536w, https://tycgis.com/wp-content/uploads/2023/01/proyecto-tele-riego1.jpg 1772w" sizes="(max-width: 650px) 100vw, 650px" /></figure>
</div>


<p class="wp-block-paragraph" style="text-align: justify;"><strong>Brief description:</strong></p>
<p style="text-align: justify;">To carry out the work, the Landsat images were first analyzed for the presence of any evidence of irrigation presence in the plots indicated by the customer, between the late spring and summer of the years 90 to 97, and the dates on which the highest probability of irrigation was observed were chosen.</p>





<p class="wp-block-paragraph" style="text-align: justify;">To select the images, it was taken into account that they should be close to the end of spring, since this is the time when a cereal crop should have at least one support irrigation to remain green once the possible winter rains have ceased and the water reserve in the soil has been reduced, so the climatology of each year was also taken into account to determine if there were late rains that could condition the results.</p>



<p class="wp-block-paragraph" style="text-align: justify;">From the downloaded images of the selected dates, several vegetation indices were calculated and statistics were generated for each of the indicated plots to determine the degree of probability of the presence of at least one supporting irrigation.</p>
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