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Deepspatial Inc. Files US Patent for Artificial Intelligence-driven Crop Yield Prediction Technology

Deepspatial Inc. Files US Patent for Artificial Intelligence-driven Crop Yield Prediction Technology

Deepspace公司为人工智能驱动的作物产量预测技术申请美国专利
Accesswire ·  2022/03/02 08:36

TORONTO, ON / ACCESSWIRE / March 2, 2022 / Deepspatial Inc. (CSE:DSAI)(OTCQB:DSAIF) ("Deepspatial" or the "Company"), an outcome based artificial intelligence (AI) company, enabling organizations to enhance their decision making capabilities by leveraging the power of data and AI, today announced the filing of US patent entitled "System and Method for Classification of Crops Using Multi-Class Machine Learning Techniques" (Patent Application #63307982).

多伦多,on/ACCESSWIRE/2022年3月2日/亚洲网加利福尼亚州圣何塞10月14日电以结果为基础的人工智能(AI)公司Deepspace Inc.(场外交易市场代码:DSAI)(以下简称“Deepspace”或“公司”)今天宣布,向美国提交了题为“使用多类别机器学习技术对作物进行分类的系统和方法”(专利申请编号63307982)的美国专利申请。该公司通过利用数据和人工智能的力量来增强其决策能力。

Deepspatial has created a novel artificial intelligence-driven technology that solves several obstacles in agricultural practices such as crop yield prediction, crop rotation, crop selection, and other crop management activities that will result in a greater yield of crop and maximize crop utilization for farmers.

Deepspace创造了一种新的人工智能驱动的技术,解决了农业实践中的几个障碍,如作物产量预测、作物轮作、作物选择和其他作物管理活动,这些活动将导致作物更高的产量,并最大限度地提高农民的作物利用率。

The Company's recently filed patent speaks to an artificial intelligence-driven platform that allows farmers, stakeholders, and decision makers to predict the crop yield for any given land and the type of crop that would thrive most to ensure maximum efficiency with every yield and season. The result not only allows farmers to capture the highest food yield for our ever-growing population, but will also directly impact their bottom line, ensuring they will continue to do unarguably valuable and challenging work.

该公司最近提交的专利说明了一个人工智能驱动的平台,该平台允许农民、利益相关者和决策者预测任何给定土地的作物产量,以及最会茁壮成长的作物类型,以确保每个产量和季节的最高效率。这一结果不仅使农民能够为我们不断增长的人口获得最高的粮食产量,而且还将直接影响他们的底线,确保他们继续从事无可争辩的有价值和具有挑战性的工作。

World population is growing and is expected to reach between 8 and 10 billion by 2050. Increase in population creates more demand for food, and it is estimated that total food consumption will have to increase by 50-70%.1 Traditional methods of agricultural farming are not equipped to handle the demand forecasted and the need for new methods and practices in agricultural management and technologies are becoming increasingly important.

世界人口正在增长,预计到2050年将达到80亿到100亿。人口的增加创造了更多的粮食需求,预计粮食消费总量将不得不增加50%-70%。1传统的农业耕作方法已不能满足预测的需求,对农业管理和技术的新方法和新做法的需要变得越来越重要。

The global agriculture technology-as-a-service market is projected to grow from $1,101.6 million in 2020 to $3,089.8 million by 2025, at a CAGR of 22.91% from 2020 to 2025. High growth in the market is expected to be driven by the growing need to adopt agriculture technologies across the industry. 2

全球农业技术即服务市场预计将从2020年的11.016亿美元增长到2025年的30.898亿美元,从2020年到2025年的复合年增长率为22.91%。市场的高速增长预计将受到整个行业对采用农业技术的日益增长的需求的推动。2

"This novel technology that our team developed may prove to be promising for the entire agricultural industry and we are very eager and excited to make a positive impact in the field, on both private and Government levels with our existing partners and their network. At the same time, we are also committed to a strong patent portfolio that encompasses all areas and industry verticals Deepspatial is involved and innovates in." Said Dr. Rahul Kushwah, CEO of Deepspatial.

我们团队开发的这项新技术可能会被证明对整个农业行业很有前途,我们非常渴望和兴奋地与我们现有的合作伙伴及其网络在该领域产生积极影响,无论是在私人层面还是政府层面。同时,我们还致力于建立一个强大的专利组合,涵盖Deepspace参与和创新的所有领域和行业垂直领域。“Deepspace的首席执行官拉胡尔·库什瓦(Rahul Kushwah)博士说。

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About Deepspatial Inc.

深空公司简介

Deepspatial (CSE:DSAI)(OTCQB:DSAIF) is an outcome based artificial intelligence company, enabling organizations to enhance their decision-making capabilities by leveraging the power of data and AI. From finding the most efficient supply chain routes to knowing where to develop next, Deepspatial's AI-driven platform enables its clients to visualize what's going on, predict what's coming, analyze data, and optimize processes to make smarter decisions for a better future. For more information, visit and follow us on Twitter, Instagram or LinkedIn.

深度空间公司(CSE:DSAI)(场外交易市场代码:DSAIF)是一家基于结果的人工智能公司,使组织能够通过利用数据和人工智能的力量来增强其决策能力。从找到最高效的供应链路线到知道下一步在哪里发展,Deepspace的人工智能驱动平台使其客户能够可视化正在发生的事情,预测即将发生的事情,分析数据,并优化流程,以做出更明智的决策,创造更美好的未来。有关更多信息,请访问并在Twitter、Instagram或LinkedIn上关注我们。

Caution regarding Forward Looking Information:

有关前瞻性信息的警告:

THE CANADIAN SECURITIES EXCHANGE HAS NOT REVIEWED NOR DOES IT ACCEPT RESPONSIBILITY FOR THE ADEQUACY OR ACCURACY OF THIS RELEASE.

加拿大证券交易所尚未对本新闻稿的充分性或准确性进行审查,IT部门也不承担任何责任。

This news release may contain forward-looking statements and information based on current expectations. These statements should not be read as guarantees of future performance or results of the Company. Such statements involve known and unknown risks, uncertainties and other factors that may cause actual results, performance or achievements to be materially different from those implied by such statements. Although such statements are based on management's reasonable assumptions, there can be no assurance that such assumptions will prove to be correct. We assume no responsibility to update or revise them to reflect new events or circumstances. The Company's securities have not been registered under the U.S. Securities Act of 1933, as amended (the "U.S. Securities Act"), or applicable state securities laws, and may not be offered or sold to, or for the account or benefit of, persons in the United States or "U.S. Persons", as such term is defined in Regulations under the U.S. Securities Act, absent registration or an applicable exemption from such registration requirements. This press release shall not constitute an offer to sell or the solicitation of an offer to buy nor shall there be any sale of the securities in the United States or any jurisdiction in which such offer, solicitation or sale would be unlawful. Additionally, there are known and unknown risk factors which could cause the Company's actual results, performance or achievements to be materially different from any future results, performance or achievements expressed or implied by the forward-looking information contained herein, such as, but not limited to dependence on obtaining regulatory approvals; the ability to obtain intellectual property rights related to its technology; limited operating history; general business, economic, competitive, political, regulatory and social uncertainties, and in particular, uncertainties related to COVID-19;risks related to factors beyond the control of the company, including risks related to COVID-19; risks related to the Company's shares, including price volatility due to events that may or may not be within such party's control; reliance on management; and the emergency of additional competitors in the industry.

本新闻稿可能包含基于当前预期的前瞻性陈述和信息。这些声明不应被解读为对公司未来业绩或结果的保证。这类陈述涉及已知和未知的风险、不确定性和其他因素,这些风险、不确定性和其他因素可能导致实际结果、业绩或成就与这类陈述所暗示的大不相同。虽然这些陈述是基于管理层的合理假设,但不能保证这些假设将被证明是正确的。我们不承担更新或修改它们以反映新事件或新情况的责任。公司的证券尚未根据修订后的“1933年美国证券法”(“美国证券法”)或适用的州证券法进行注册,除非进行注册或获得适用的豁免,否则不得向美国境内的人或“美国人”提供或出售,或为这些人或“美国人”的账户或他们的利益服务或为他们的利益服务。本新闻稿不应构成出售要约或征求购买要约,也不应在美国或任何司法管辖区出售任何此类要约、征求或出售将是非法的证券。此外,存在已知和未知的风险因素,可能导致公司的实际结果、业绩或成就与本文中包含的前瞻性信息明示或暗示的任何未来结果、业绩或成就大不相同,例如但不限于对获得监管部门批准的依赖;获得与其技术相关的知识产权的能力;有限的经营历史;一般商业、经济、竞争、政治、监管和社会方面的不确定性,尤其是, 与新冠肺炎相关的不确定性;与公司无法控制的因素相关的风险,包括与新冠肺炎相关的风险;与公司股票相关的风险,包括可能在或可能不在公司控制范围内的事件导致的价格波动;对管理层的依赖;以及行业中更多竞争对手的紧急情况。

All forward-looking information herein is qualified in its entirety by this cautionary statement, and the Company disclaims any obligation to revise or update any such forward-looking information or to publicly announce the result of any revisions to any of the forward-looking information contained herein to reflect future results, events or developments, except required by law.

本文中的所有前瞻性信息均受本警示声明的约束,公司没有义务修改或更新任何此类前瞻性信息,也没有义务公开宣布对本文中包含的任何前瞻性信息的任何修改结果,以反映未来的结果、事件或发展,除非法律要求。

Contacts

联系人

For more information, please contact:
Investor Relations
Corey Matthews
Investors@deepspatial.ai

如需更多信息,请联系:
投资者关系
科里·马修斯
邮箱:Investors@Deepspatial.ai

SOURCE: DeepSpatial Inc.

资料来源:深度空间公司(DeepSpatial Inc.)


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