{"id":1580,"date":"2025-09-11T07:14:00","date_gmt":"2025-09-11T07:14:00","guid":{"rendered":"http:\/\/ec2-100-25-145-190.compute-1.amazonaws.com\/?post_type=cropx_publication&p=1580"},"modified":"2026-09-02T00:16:10","modified_gmt":"2026-09-02T00:16:10","slug":"data-driven-irrigation-corn-yield","status":"publish","type":"cropx_publication","link":"https:\/\/cropx.com\/es\/data-driven-irrigation-corn-yield\/","title":{"rendered":"El riego basado en datos gener\u00f3 un aumento en el rendimiento de 22%"},"content":{"rendered":"

Cuando el campo con menos potencial produjo m\u00e1s<\/strong><\/h3>\n\n\n\n

En Illinois, se gestionaron dos campos contiguos de ma\u00edz regados por pivote, uno al lado del otro, con dos enfoques muy diferentes.<\/p>\n\n\n\n

El campo A sigui\u00f3 con el manejo tradicional del riego: menos riegos, pero de mayor volumen, bas\u00e1ndose en la experiencia y en indicios visuales. El campo B pas\u00f3 a utilizar sensores de suelo CropX y el riego de tasa variable (VRI), aplicando agua seg\u00fan datos de humedad del suelo en tiempo real.<\/p>\n\n\n\n

Hist\u00f3ricamente, el primer campo siempre hab\u00eda dado un rendimiento mayor que el segundo. Esta vez, ocurri\u00f3 lo contrario.<\/p>\n\n\n\n

Dos estrategias de riego muy diferentes<\/strong><\/h3>\n\n\n\n

En lugar de aplicar grandes cantidades de agua una vez que el estr\u00e9s ya se hab\u00eda manifestado, el campo gestionado por CropX recibi\u00f3 riegos m\u00e1s peque\u00f1os y frecuentes, guiados por datos del suelo en tiempo real.<\/p>\n\n\n\n

Los niveles de humedad se mantuvieron estables durante toda la temporada. No se registraron episodios de estr\u00e9s. Adem\u00e1s, los sensores registraron autom\u00e1ticamente cada precipitaci\u00f3n y cada riego.<\/p>\n\n\n\n

Mientras tanto, en el campo administrado por el agricultor, la humedad del suelo cay\u00f3 por debajo de la l\u00ednea de reabastecimiento en siete ocasiones, lo que provoc\u00f3 estr\u00e9s y limit\u00f3 el potencial de rendimiento.<\/p>\n\n\n\n

Lo que pas\u00f3 en el campo<\/strong><\/h3>\n\n\n\n

A pesar de utilizar densidades de siembra m\u00e1s bajas y una variedad de ma\u00edz menos vigorosa, el campo gestionado por CropX super\u00f3 al gestionado por el agricultor en todos los aspectos:<\/p>\n\n\n\n

    \n
  • 22%: mayor rendimiento<\/li>\n\n\n\n
  • 94% del potencial de rendimiento de la variedad (frente a 77% en el campo vecino)<\/li>\n\n\n\n
  • 9,31 TP3T m\u00e1s de rendimiento que en temporadas anteriores<\/li>\n\n\n\n
  • No se registraron episodios de estr\u00e9s, en comparaci\u00f3n con los siete que se observaron en el campo administrado por el agricultor<\/li>\n<\/ul>\n\n\n\n

    Al mismo tiempo, el campo administrado por el agricultor, el que tiene un mayor potencial hist\u00f3rico, produjo 23% menos de lo esperado seg\u00fan su desempe\u00f1o anterior.<\/p>\n\n\n\n

    \"\"<\/figure>\n\n\n\n

    Lo que marc\u00f3 la diferencia<\/strong><\/h3>\n\n\n\n

    El campo con bajo rendimiento no es que de repente tuviera un suelo mejor. Lo que s\u00ed tuvo fue mejor informaci\u00f3n. Los datos del suelo en tiempo real permitieron programar el riego con precisi\u00f3n, lo que evit\u00f3 el estr\u00e9s antes de que se presentara. Cada episodio de lluvia y riego se registr\u00f3 autom\u00e1ticamente y se integr\u00f3 en las decisiones de manejo.<\/p>\n\n\n\n

    El agricultor no trabaj\u00f3 m\u00e1s ni utiliz\u00f3 m\u00e1s recursos. Simplemente ten\u00eda una visi\u00f3n m\u00e1s clara de las condiciones reales del suelo, en lugar de basarse en suposiciones o en indicadores visuales tard\u00edos.<\/p>\n\n\n\n

    Esta comparaci\u00f3n pone de relieve c\u00f3mo la agricultura de precisi\u00f3n puede liberar el potencial oculto de campos que antes se consideraban poco productivos. Cuando las decisiones de riego se basan en las condiciones del suelo en tiempo real, en lugar de en horarios fijos, incluso los campos que hist\u00f3ricamente han tenido un rendimiento m\u00e1s bajo pueden superar a los de al lado. Las mejores decisiones suelen surgir de mejores datos, no de un mayor esfuerzo.<\/p>\n\n\n\n

    \n\n\n\n

    Escrito por Gilly Kinsky, vicepresidenta de mercadotecnia de CropX<\/em><\/p>","protected":false},"excerpt":{"rendered":"

    When the Field with Less Potential Produced More In Illinois, two neighboring pivot-irrigated corn fields were managed side by side, with two very different approaches. Field A continued with traditional irrigation management, fewer, larger water applications based on experience and visual cues. Field B switched to CropX soil sensors and Variable Rate Irrigation (VRI), applying […]<\/p>\n","protected":false},"featured_media":20,"template":"","meta":{"pub_download_url":"","pub_location":"","pub_stat_1_value":"","pub_stat_1_label":"","pub_stat_2_value":"","pub_stat_2_label":"","cs_company":"","cs_region":"","cs_scale":"","cs_challenge":"","cs_solution":"","cropx_hide_at_a_glance":false,"cropx_author_mode":"default","cropx_author_name":"","cropx_author_team_id":0},"cropx_content_type":[4],"cropx_story_tag":[146],"class_list":["post-1580","cropx_publication","type-cropx_publication","status-publish","has-post-thumbnail","hentry","cropx_content_type-case-study","cropx_story_tag-na"],"yoast_head":"\nData-Driven Irrigation Increases Corn Yield 22% | CropX<\/title>\n<meta name=\"description\" content=\"See how CropX soil moisture data and precision irrigation helped an Illinois corn field prevent crop stress and achieve a 22% higher yield.\" \/>\n<meta name=\"robots\" content=\"index, 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