Company Seeks To Combat Aging And Disease With AI And Deep Learning

nitrogen management technology which uses a combination of data sources to help farmers decide when and how much nitrogen to apply in order to help their crops thrive and reduce overuse, which can lead to runoff. Further, The Climate Corporation’s

HydroBio irrigation management platform and advanced irrigation research analyzes crop irrigation data so farmers can more efficiently manage water use.

  • Advancements in herbicide-tolerant systems like

    Fourth Generation Herbicide Tolerant

    Cotton (advancing to Phase 2) which are expected to further enable no-till and conservation-tillage farming, preserving the top layer of the soil and limiting its runoff into streams, rivers and lakes. Untilled soil stores carbon that’s been absorbed through crops and plant materials and keeps it from the air.

  • In addition to Trecepta technology, incremental advancements in insect-resistant systems – like

    Fourth Generation Above-Ground Insect Protection for Corn (advancing to Phase 3) – that can help reduce the number of pesticide applications farmers must apply, saving fuel and reducing carbon emissions with fewer passes over the field.

  • “Data-driven innovation is about more than producing higher yields,” said Dr. Sam Eathington, chief science officer for the Climate Corporation. “It’s also about helping farmers manage critical inputs like seed, fertilizer and water so they can get the most out of every acre in a more sustainable way.”

    Monsanto’s Scientists Embrace Data Innovations – Including Artificial Intelligence And Machine Learning – For The Benefit Of Our Farmer Customers And Consumers

    The world of agriculture is being transformed by data science, from algorithms and analytics to deep learning and artificial intelligence. In the face of climate change, advancements in these areas are helping farmers grow the food we need while using natural resources more efficiently.

    “Monsanto’s plant breeders, climate scientists and soil microbiologists were among the industry’s earliest adopters of data science, artificial intelligence and machine learning – and for good reason,” said Anju Gupta, Monsanto’s information technology partnerships and outreach lead. “In the years I spent as a plant breeder and quantitative geneticist, my teams used predictive analytics to help us decide which products to advance, which ultimately led us to knowing the potential of every seed before it was even planted. In much the same way, our vegetable research team is developing modeling tools that predict the flavor performance of our products in crops such as tomato, and our soil microbials team relies on analytics to evaluate hundreds of thousands of strains each year.”

    Information about Monsanto’s R&D Pipeline, Projects and Collaborations

    Monsanto believes that innovation, continuous improvements in farming practices, and collaborations across the public and private sectors can truly make a difference for farmers, the consumers they serve and the planet. Additional information on Monsanto’s R&D pipeline, the projects outlined in this release and others, are available online at www.monsanto.com/pipeline. Monsanto’s R&D pipeline will be showcased as part of the company’s fiscal 2018 first quarter earnings announcement today, and Climate Corporation and The BioAg Alliance will provide detailed project updates in separate releases. For more information about today’s earnings announcement, the news release and supporting resources are available at www.monsanto.com.

    About Monsanto Company

    Monsanto is committed to bringing a broad range of solutions to help nourish our growing world. We produce seeds for fruits, vegetables and key crops - such as corn, soybeans, and cotton - that help farmers have better harvests while using water and other important resources more efficiently. We work to find sustainable solutions for soil health, help farmers use data to improve farming practices and conserve natural resources, and provide crop protection products to minimize damage from pests and disease. Through programs and partnerships, we collaborate with farmers, researchers, nonprofit organizations, universities and others to help tackle some of the world’s biggest challenges. To learn more about Monsanto, our commitments and our more than 20,000 dedicated employees, please visit monsanto.com. Follow our business on Twitter® at twitter.com/MonsantoCo.

    Cautionary Statements Regarding Forward-Looking Information

    Certain statements contained in this release are “forward-looking statements,” such as statements concerning the company’s anticipated financial results, current and future product performance, regulatory approvals, business and financial plans and other non-historical facts, as well as the pending transaction with Bayer Aktiengesellschaft (“Bayer”). These statements are based on current expectations and currently available information. However, since these statements are based on factors that involve risks and uncertainties, the company’s actual performance and results may differ materially from those described or implied by such forward-looking statements. Factors that could cause or contribute to such differences include, among others: risks related to the pending transaction between the company and Bayer, including the risk that the regulatory approvals required for the transaction may not be obtained on the anticipated terms or time frame or at all, the risk that the other conditions to the completion of the transaction may not be satisfied, the risk that disruptions or uncertainties related to the pending transaction could adversely affect the company’s business, financial performance and/or relationships with third parties, and the risk that certain contractual restrictions during the pendency of the transaction could adversely affect the company’s ability to pursue business opportunities or strategic transactions; continued competition in seeds, traits and agricultural chemicals; the company's exposure to various contingencies, including those related to intellectual property protection, regulatory compliance and the speed with which approvals are received, and public understanding and acceptance of our biotechnology and other agricultural products; the success of the company's research and development activities; the outcomes of major lawsuits, including potential litigation related to the pending transaction with Bayer; developments related to foreign currencies and economies; fluctuations in commodity prices; compliance with regulations affecting our manufacturing; the accuracy of the company's estimates related to distribution inventory levels; the levels of indebtedness, continued availability of capital and financing and rating agency actions; the company's ability to fund its short-term financing needs and to obtain payment for the products that it sells; the effect of weather conditions, natural disasters, accidents, and security breaches, including cybersecurity incidents, on the agriculture business or the company's facilities; and other risks and factors detailed in the company's most recent periodic report to the SEC. Undue reliance should not be placed on these forward-looking statements, which are current only as of the date of this release. The company disclaims any current intention or obligation to update any forward-looking statements or any of the factors that may affect actual results.

    ALWAYS READ AND FOLLOW PESTICIDE LABEL DIRECTIONS. Acceleron®, Harness® and Nemastrike ™ are trademarks of Monsanto Technology LLC. ©2018 Monsanto Company.

    1http://www.fao.org/news/story/en/item/280489/icode/

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    Source : https://finance.yahoo.com/news/monsanto-spotlights-research-development-pipeline-130100557.html

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    Company Seeks To Combat Aging And Disease With AI And Deep Learning

    Source:TechCrunch

    Company Seeks To Combat Aging And Disease With AI And Deep Learning

    Company Seeks To Combat Aging And Disease With AI And Deep Learning

    Source:KFVS12

    Company Seeks To Combat Aging And Disease With AI And Deep Learning