Tenders Are Invited For Data Analysis Services – Land Cover Class Identification Service Using Artificial Intelligence (Ai) Methods For The Purpose Of Updating The Agricultural Plot Identification System (Lpis)

Data Analysis Services – Land Cover Class Identification Service Using Artificial Intelligence (Ai) Methods For The Purpose Of Updating The Agricultural Plot Identification System (Lpis). 1. The Subject Of The Order Is The Preparation, Launch And Provision By The Contractor To The Agency For Restructuring And Modernization Of Agriculture Of An It Service In The Saas Model, Enabling Automatic Identification Of Land Cover Classes Based On Geospatial Data, Using Artificial Intelligence Technology, In Accordance With The Service Description Constituting Annex No. 1 To The Draft Provisions Of The Contract (Hereinafter Referred To As Ppu), Constituting Annex No. 9 To The Terms Of Reference (Hereinafter Referred To As Swz) And The Offer Form (Appendix No. 1 To Swz). Land Cover Classes: 1.1 Basic Land Cover Classes (Hereinafter: Basic Classes) - I.E. Obligatory Land Cover Classes Required By The Ordering Party For Which The Minimum Classification Quality Indicators Are At Least: Overall Accuracy 0.85; Recall 0.80; Precision 0.80.: A) Communication Areas - (Development Fields (Hereinafter: Pz): K) B) Forests - (Pz: L, Z, Zs, O, R) C) Industrial And Urban Areas - (Pz: U) D) Habitats With Buildings - (Pz: D). Note: For Basic Classes (Classes A-D), The Levels Of Classification Quality Indicators (Overall Accuracy; Recall; Precision) Will Be Binding On The Contractor In Accordance With The Declaration Submitted By The Contractor In The Bid Form. 1.2 Premium Land Cover Classes (Hereinafter: Premium Classes) - I.E. Non-Obligatory, Additionally Offered By The Contractor As Part Of The Offer Evaluation Criteria (Chapter Ix, Points 2.2 And 2.3 Of The Swz), For Which The Offer Will Receive Additional Points, Are: E) Water - (Pz: W, Om, Ow, R2, R10), F) Other Non-Agricultural Areas - (Pz: I). Note: For Premium Classes (Classes E And F), The Minimum Levels Of Classification Quality Indicators (Overall Accuracy; Recall; Precision) Have Not Been Specified, But Their Amounts Will Apply To The Contractor Only If They Are Offered At Least At The Level Of The Basic Classes, In Accordance With The Declaration For Individual Classes Submitted By The Contractor In The Bid Form. The Agreement Will Take Into Account Premium Classes As Long As They Meet The Minimum Classification Quality Indicators Specified For Basic Classes. 2. The Scope Of The Order Includes The Processing Of Geospatial Data In Raster And Vector Formats And The Generation Of Results In The Form Of Vector Layers Showing Land Cover Classes, Along With Assigning A Classification Confidence Level For Each Object. The Generated Data Must Be Geometrically Correct And Topologically Consistent. Identification Of Land Cover Classes Is Carried Out In Accordance With The Classification Used In The Agricultural Plot Identification System (Lpis) And Covers The Full Range Of Required Classes And Their Representation In The Form Of Spatial Objects. The Functionality Of The Service Includes The Visualization Of Spatial Data, Presentation Of Identification Results, Their Analysis And Editing, As Well As Export Of The Resulting Data In Standard Formats And Integration With Other Services And Spatial Data Sources. Data Processing Should Enable The Handling Of D