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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公司為人工智能驅動的作物產量預測技術申請美國專利
Accesswire ·  2022/03/02 21:36

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).

多倫多,on/ACCESSWIRE/2022年3月2日/亞洲網加利福尼亞州聖何塞10月14日電以結果為基礎的人工智能(AI)公司Deepspace Inc.(場外交易市場代碼:DSAI)(以下簡稱“Deepspace”或“公司”)今天宣佈,向美國提交了題為“使用多類別機器學習技術對作物進行分類的系統和方法”(專利申請編號63307982)的美國專利申請。該公司通過利用數據和人工智能的力量來增強其決策能力。

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創造了一種新的人工智能驅動的技術,解決了農業實踐中的幾個障礙,如作物產量預測、作物輪作、作物選擇和其他作物管理活動,這些活動將導致作物更高的產量,並最大限度地提高農民的作物利用率。

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.

該公司最近提交的專利説明瞭一個人工智能驅動的平臺,該平臺允許農民、利益相關者和決策者預測任何給定土地的作物產量,以及最會茁壯成長的作物類型,以確保每個產量和季節的最高效率。這一結果不僅使農民能夠為我們不斷增長的人口獲得最高的糧食產量,而且還將直接影響他們的底線,確保他們繼續從事無可爭辯的有價值和具有挑戰性的工作。

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.

世界人口正在增長,預計到2050年將達到80億到100億。人口的增加創造了更多的糧食需求,預計糧食消費總量將不得不增加50%-70%。1傳統的農業耕作方法已不能滿足預測的需求,對農業管理和技術的新方法和新做法的需要變得越來越重要。

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

全球農業技術即服務市場預計將從2020年的11.016億美元增長到2025年的30.898億美元,從2020年到2025年的複合年增長率為22.91%。市場的高速增長預計將受到整個行業對採用農業技術的日益增長的需求的推動。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.

我們團隊開發的這項新技術可能會被證明對整個農業行業很有前途,我們非常渴望和興奮地與我們現有的合作伙伴及其網絡在該領域產生積極影響,無論是在私人層面還是政府層面。同時,我們還致力於建立一個強大的專利組合,涵蓋Deepspace參與和創新的所有領域和行業垂直領域。“Deepspace的首席執行官拉胡爾·庫什瓦(Rahul Kushwah)博士説。

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About Deepspatial Inc.

深空公司簡介

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.

深度空間公司(CSE:DSAI)(場外交易市場代碼:DSAIF)是一家基於結果的人工智能公司,使組織能夠通過利用數據和人工智能的力量來增強其決策能力。從找到最高效的供應鏈路線到知道下一步在哪裏發展,Deepspace的人工智能驅動平臺使其客户能夠可視化正在發生的事情,預測即將發生的事情,分析數據,並優化流程,以做出更明智的決策,創造更美好的未來。有關更多信息,請訪問並在Twitter、Instagram或LinkedIn上關注我們。

Caution regarding Forward Looking Information:

有關前瞻性信息的警告:

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

加拿大證券交易所尚未對本新聞稿的充分性或準確性進行審查,IT部門也不承擔任何責任。

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.

本新聞稿可能包含基於當前預期的前瞻性陳述和信息。這些聲明不應被解讀為對公司未來業績或結果的保證。這類陳述涉及已知和未知的風險、不確定性和其他因素,這些風險、不確定性和其他因素可能導致實際結果、業績或成就與這類陳述所暗示的大不相同。雖然這些陳述是基於管理層的合理假設,但不能保證這些假設將被證明是正確的。我們不承擔更新或修改它們以反映新事件或新情況的責任。公司的證券尚未根據修訂後的“1933年美國證券法”(“美國證券法”)或適用的州證券法進行註冊,除非進行註冊或獲得適用的豁免,否則不得向美國境內的人或“美國人”提供或出售,或為這些人或“美國人”的賬户或他們的利益服務或為他們的利益服務。本新聞稿不應構成出售要約或徵求購買要約,也不應在美國或任何司法管轄區出售任何此類要約、徵求或出售將是非法的證券。此外,存在已知和未知的風險因素,可能導致公司的實際結果、業績或成就與本文中包含的前瞻性信息明示或暗示的任何未來結果、業績或成就大不相同,例如但不限於對獲得監管部門批准的依賴;獲得與其技術相關的知識產權的能力;有限的經營歷史;一般商業、經濟、競爭、政治、監管和社會方面的不確定性,尤其是, 與新冠肺炎相關的不確定性;與公司無法控制的因素相關的風險,包括與新冠肺炎相關的風險;與公司股票相關的風險,包括可能在或可能不在公司控制範圍內的事件導致的價格波動;對管理層的依賴;以及行業中更多競爭對手的緊急情況。

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聲明的約束,公司沒有義務修改或更新任何此類前瞻性信息,也沒有義務公開宣佈對本文中包含的任何前瞻性信息的任何修改結果,以反映未來的結果、事件或發展,除非法律要求。

Contacts

聯繫人

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

如需更多信息,請聯繫:
投資者關係
科裏·馬修斯
郵箱:Investors@Deepspatial.ai

SOURCE: DeepSpatial Inc.

資料來源:深度空間公司(DeepSpatial Inc.)


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