Abstract: The present disclosure relates generally to a risk-based fraud identification and risk analysis system. For example, the system may receive application data from a first borrower user, determine a segment associated with the application data, apply application data to one or more machine learning (ML) models, and receive a score based at least in part upon output of the ML model.

Abstract: The present disclosure relates generally to a risk-based fraud identification and risk analysis system. For example, the system may receive application data from a first borrower user, determine a segment associated with the application data, apply application data to one or more machine learning (ML) models, and receive a score based at least in part upon output of the ML model.

Abstract: The present disclosure relates generally to a multi-layer fraud identification and risk analysis system. For example, the system may receive application data from a first borrower user, apply application data to one or more machine learning (ML) models, and receive a first score based at least in part upon output of the ML model that is associated with the first borrower user. The system may aggregate scores associated with multiple borrower users to a cumulative dealer user level. The aggregated first scores associated with the dealer user, as well as other corresponding application data, may be provided as input to a second ML model. Output from the second ML model may be associated with the dealer user as a second score.

Abstract: The present disclosure relates generally to a multi-layer fraud identification and risk analysis system. For example, the system may receive a plurality of first scores associated with borrower users and a dealer user based at least in part upon output of the first ML model. The system may receive a request from a lender user device for a second score, where the dealer user and the lender user device are associated according to a correlative score. The plurality of applications and the correlative score may be used as input to the second ML model that quantifies the risk of the dealer user specifically to the lender user, based on attributes associated with the application data, dealer user, and/or lender user. Output from the second ML model may be provided to the lender user device.

Abstract: The present disclosure relates generally to a risk-based fraud identification and risk analysis system. For example, the system may receive application data from a first borrower user, determine a segment associated with the application data, apply application data to one or more machine learning (ML) models, and receive a score based at least in part upon output of the ML model.

Abstract: The present disclosure relates generally to a risk-based fraud identification and risk analysis system. For example, the system may receive application data from a first borrower user, determine a segment associated with the application data, apply application data to one or more machine learning (ML) models, and receive a score based at least in part upon output of the ML model.

Abstract: The present disclosure relates generally to a risk-based fraud identification and risk analysis system. For example, the system may receive application data from a first borrower user, determine a segment associated with the application data, apply application data to one or more machine learning (ML) models, and receive a score based at least in part upon output of the ML model.

Abstract: The present disclosure relates generally to a multi-layer fraud identification and risk analysis system. For example, the system may receive application data from a first borrower user, apply application data to one or more machine learning (ML) models, and receive a first score based at least in part upon output of the ML model that is associated with the first borrower user. The system may aggregate scores associated with multiple borrower users to a cumulative dealer user level. The aggregated first scores associated with the dealer user, as well as other corresponding application data, may be provided as input to a second ML model. Output from the second ML model may be associated with the dealer user as a second score.

Abstract: The present disclosure relates generally to a multi-layer fraud identification and risk analysis system. For example, the system may receive a plurality of first scores associated with borrower users and a dealer user based at least in part upon output of the first ML model. The system may receive a request from a lender user device for a second score, where the dealer user and the lender user device are associated according to a correlative score. The plurality of applications and the correlative score may be used as input to the second ML model that quantifies the risk of the dealer user specifically to the lender user, based on attributes associated with the application data, dealer user, and/or lender user. Output from the second ML model may be provided to the lender user device.

Abstract: A fruit harvesting apparatus is provided which includes a vehicle, a mechanism for moving the vehicle along the ground; a tray, coupled to the vehicle, for receiving picked fruit; a pivotable hopper, mounted to the vehicle, for temporarily storing the picked fruit; and a transfer system for transferring the picked fruit from the tray to the hopper. The apparatus further includes an elevator for selectively elevating the device and/or a titling device for selectively tilting the device.

Abstract: A machine for harvesting fruit from trees is provided. The machine includes a supporting vehicle; a hopper mounted on the vehicle; a blower assembly for maintaining a sub-atmospheric pressure in the hopper; an extendable/retractable boom rotatably mounted on the vehicle; a worker-supporting bucket attached to the outer end of the boom; and a conduit system extending from the bucket, through the boom, and into the hopper whereby the fruit may be transferred from the bucket to the hopper. The boom includes inner, middle and outer telescopically slidable boom sections; while the conduit system includes inner, middle and outer telescopically slidable conduit sections. The machine further includes a first deflection-preventing member which is mounted on the inner end of the middle boom section and a second deflection-preventing member mounted on the inner end of the outer boom section.

Abstract: A fruit harvesting apparatus is provided which includes a vehicle having a front end and a back end; a mechanism for moving the vehicle along the ground; a tray, located at the back end of the vehicle, for receiving picked fruit; a pivotable hopper, mounted to the back end of the vehicle, for temporarily storing the picked fruit; and a transfer system for transferring the picked fruit from the tray to the hopper. The tray includes a bottom wall and a set of substantially vertical walls surrounding the bottom wall. The set of substantially vertical walls includes a back wall which is attached to the front end of the vehicle and a pair of side walls extending from opposite ends of the back wall. The tray further includes a channel formed at least partially by channel-forming sections of the bottom wall. The channel includes a rear edge defining a tray opening and a substantially planar lower wall sloping towards the tray opening.

Abstract: A harvesting apparatus and method includes a vehicle designed for operation along aisles between rows of low density young citrus trees for collecting, storing and transporting citrus fruit harvested by multiple workers moving along in front of the vehicle. The apparatus and method is more efficient and cost effective for harvesting citrus fruit from low density young citrus trees and eliminates pallet tubs and the vehicle boom required to empty and replace the tubs as used in the "conventional harvesting method". The machine and method includes a large semi-circular tray preferably mounted at a level about two feet above the ground on the front of a self-propelled vehicle carrying a hopper. The tray is selectively removable to allow a tray of different size to be mounted on the vehicle to meet the harvesting conditions involved at given citrus groves.

Abstract: A fruit harvesting apparatus is provided which includes a vehicle having a front end and a back end; a mechanism for moving the vehicle along the ground; a tray, located at the back end of the vehicle, for receiving picked fruit; a pivotable hopper, mounted to the back end of the vehicle, for temporarily storing the picked fruit; and a transfer system for transferring the picked fruit from the tray to the hopper. The tray includes a bottom wall and a set of substantially vertical walls surrounding the bottom wall. The set of substantially vertical walls includes a back wall which is attached to the front end of the vehicle and a pair of side walls extending from opposite ends of the back wall. The tray further includes a channel formed at least partially by channel-forming sections of the bottom wall. The channel includes a rear edge defining a tray opening and a substantially planar lower wall sloping towards the tray opening.

Abstract: A harvesting apparatus and method includes a vehicle designed for operation along aisles between rows of low density young citrus trees for collecting, storing and transporting citrus fruit harvested by multiple workers moving along in front of the vehicle. The apparatus and method is more efficient and cost effective for harvesting citrus fruit from low density young citrus trees and eliminates pallet tubs and the vehicle boom required to empty and replace the tubs as used in the "conventional harvesting method". The machine and method includes a large semi-circular tray preferably mounted at a level about two feet above the ground on the front of a self-propelled vehicle carrying a hopper. The tray is selectively removable to allow a tray of different size to be mounted on the vehicle to meet the harvesting conditions involved at given citrus groves.

Abstract: A machine for harvesting fruit including a supporting vehicle (30, 31) having a hopper 40 on one end (31) and a three-section extensible boom (80a, 80b, 80c) rotatably mounted on the other end (30) and having a bucket (96) on the outer end of the boom, and extensible conduits (82a, 82b, 82c) enclosed within the boom for conducting fruit to and through an extended conduit system (99, 75b) and into the boom.

Abstract: A fruit harvesting apparatus is provided which includes a vehicle, a mechanism for moving the vehicle along the ground; a tray, coupled to the vehicle, for receiving picked fruit; a pivotable hopper, mounted to the vehicle, for temporarily storing the picked fruit; and a transfer system for transferring the picked fruit from the tray to the hopper. The apparatus further includes an elevator for selectively elevating the device and/or a titling device for selectively tilting the device.