{"id":11673,"date":"2021-08-24T09:00:40","date_gmt":"2021-08-24T14:00:40","guid":{"rendered":"https:\/\/backup.primeaction.com\/sp\/?p=11673"},"modified":"2021-08-14T19:56:40","modified_gmt":"2021-08-15T00:56:40","slug":"la-tecnologia-ayuda-a-los-campesinos-ante-las-sequias-y-el-cambio-climatico","status":"publish","type":"post","link":"https:\/\/backup.primeaction.com\/sp\/la-tecnologia-ayuda-a-los-campesinos-ante-las-sequias-y-el-cambio-climatico\/","title":{"rendered":"La tecnolog\u00eda ayuda a los campesinos ante las sequ\u00edas y el cambio clim\u00e1tico"},"content":{"rendered":"

La digitalizaci\u00f3n toma cada vez m\u00e1s importancia en las organizaciones que tienen gran impacto, pues se est\u00e1n transformando las cadenas de valor y los consumidores buscan una mayor interacci\u00f3n, omnicanal, ya que esperan tener la misma experiencia en todas las interacciones, a trav\u00e9s de todos los medios, f\u00edsicos y en l\u00ednea.<\/p>\n

Las personas buscan mayor simplicidad al consumir, y aunque hay un rezago en nuestro pa\u00eds, el comercio electr\u00f3nico lleg\u00f3 incluso para estos sectores. Cada vez m\u00e1s, las organizaciones est\u00e1n transformando sus cadenas de valor a trav\u00e9s de la digitalizaci\u00f3n, dando nuevas opciones a peque\u00f1as empresas para profesionalizarse y tener acceso al e-commerce y a nuevos clientes.<\/p>\n

Manuel Bravo, director general de Bayer en M\u00e9xico, indic\u00f3 por su parte que los cambios profundos son necesarios en la agricultura; a pesar de que la transformaci\u00f3n digital lleva algunos a\u00f1os influyendo en la manera en que se producen los alimentos, con el uso de datos tomados v\u00eda sat\u00e9lite o con sensores locales, los retos son importantes: para el 2050 ser\u00e1 necesario duplicar la producci\u00f3n a pesar de la creciente falta de agua y el impacto del cambio clim\u00e1tico en la agricultura.<\/p>\n

Bravo asever\u00f3 que Bayer est\u00e1 invirtiendo en tecnolog\u00edas de automatizaci\u00f3n basadas en Big Data para ser m\u00e1s eficientes en el trabajo gen\u00e9tico, aprovechando que la Inteligencia Artificial (IA) les permite probar m\u00e1s combinaciones en menos tiempo.<\/p>\n

La Transformaci\u00f3n Digital se ha dado en la investigaci\u00f3n y desarrollo, con modelos de mercado que incluyen el conocimiento del cliente y la manera en que se interact\u00faa con ellos. En M\u00e9xico, m\u00e1s del 80% de los agricultores son peque\u00f1os productores con menos de cinco hect\u00e1reas. Para generar valor es necesario tener un entendimiento total de la planeaci\u00f3n, desarrollo, cosecha y comercializaci\u00f3n de los cultivos, y esto se va a potencializar con los medios digitales ofreciendo soluciones a la medida.<\/p>\n

Las diversas iniciativas digitales se ir\u00e1n ajustando para mejorar la experiencia y los resultados de los agricultores, principalmente en el centro y sur del pa\u00eds, donde est\u00e1n m\u00e1s fragmentados, y su alcance es menos eficiente.<\/p>\n

De la mano de Nucle, un marketplace de insumos para agricultores que ya ha sido probado en Brasil, Bayer ofrece un club de beneficios llamado Impulso Bayer, con un programa de lealtad que les da la posibilidad de acceso a nuevas tecnolog\u00edas, como servicio de an\u00e1lisis usando drones.<\/p>\n

Llevan 3 meses operando con un 3% de adopci\u00f3n en Jalisco, Michoac\u00e1n, Guanajuato, Zacatecas, SLP y Quer\u00e9taro, y planean su expansi\u00f3n al resto del pa\u00eds para el siguiente a\u00f1o.<\/p>\n

De acuerdo con la consultora Gartner, 70% de los consejos directivos en las empresas actuales plantean que las iniciativas digitales deben ser prioritarias en sus planes y as\u00ed mantenerse relevantes, ahora que la pandemia ha acelerado la necesidad de la transformaci\u00f3n digital de muchas empresas.<\/p>\n

El sector agropecuario no es la excepci\u00f3n, seg\u00fan explica Juan Solana, socio de Consultor\u00eda en Transformaci\u00f3n de Negocios e Innovaci\u00f3n en EY M\u00e9xico. Solana explica el contexto global, en el que poco m\u00e1s del 50% de la poblaci\u00f3n son usuarios activos de Internet y de redes sociales y en el que uno de los efectos de COVID-19 fue que nos hizo m\u00e1s conscientes de las bondades de la tecnolog\u00eda.<\/p>\n

Bases de datos que ayudan al campo<\/p>\n

Hace unas semanas, cient\u00edficos publicaron en la revista Nature la mayor base de datos de prote\u00ednas que forman las estructuras de la vida, lo que \u00abcambiar\u00e1 fundamentalmente la investigaci\u00f3n en biolog\u00eda\u00bb, seg\u00fan especialistas. Esta investigaci\u00f3n fue posible gracias al uso de IA.<\/p>\n

La empresa DeepMind y el Laboratorio Europeo de Biolog\u00eda Molecular (EMBL) han empleado el sistema de inteligencia artificial AlphaFold para publicar la base de datos m\u00e1s completa y precisa de las predicciones de las estructuras de las prote\u00ednas humanas.<\/p>\n

Esta base de datos, de acuerdo a la agencia de noticias DW, es de libre acceso y tiene informaci\u00f3n sobre 20,000 prote\u00ednas, lo que no s\u00f3lo ayudar\u00e1 a la gen\u00e9tica humana y la producci\u00f3n de alimentos, sino tambi\u00e9n a investigaciones enfocadas en una mayor producci\u00f3n agr\u00edcola.<\/p>\n

La ONU public\u00f3 este lunes el nuevo informe del Grupo Intergubernamental de Expertos sobre el Cambio Clim\u00e1tico (IPCC, por sus siglas en ingl\u00e9s). En \u00e9l, alerta que los cambios de la acci\u00f3n humana sobre el medioambiente son \u00abirreversibles\u00bb y tendr\u00e1n consecuencias cada vez m\u00e1s graves en el futuro.<\/p>\n

Y aunque la tecnolog\u00eda ha permitido conocer c\u00f3mo la atm\u00f3sfera y las emisiones contaminantes interact\u00faan con el oc\u00e9ano, la nieve, el hielo, los ecosistemas y la superficie terrestre. La realidad es que los expertos coinciden en el peligro de las sequ\u00edas y la falta de agua pondr\u00e1 en aprietos al sector agr\u00edcola si no se usan mejores herramientas y pr\u00e1cticas.<\/p>\n","protected":false},"excerpt":{"rendered":"

El uso de big data, inteligencia artificial y machine learning permiten que la producci\u00f3n de cosechas trabaje bajo modelos m\u00e1s predictivos y 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