公开(公告)号：US20250063976A1

公开(公告)日：2025-02-27

申请号：US18724964

申请日：2022-12-30

Applicant: BASF CORPORATION

Inventor： Joseph Martin RUSSO ,  Jeffrey Wayne GRIMM ,  Jay Wesley SCHLEGEL ,  Jeffrey Thomas SPENCER

IPC: A01B79/00 ,  A01B79/02

Abstract: Embodiments of the present disclosure related to systems and methods of determining, computing, or simulating crop yield for a growing season. In certain embodiments, the model begins with a yield potential reflective of environmental limitations for a particular field which assumes that the grower has chosen a crop variety that is appropriate for their growing season and has managed their farm optimally. An end-of-season yield is predicted by accounting for environmental stressors, which are applied to the starting yield potential as penalties, in certain embodiments, the crop yield model simulates post-, in-, and end-of-season yield potentials by classifying major categories of plant stressors. These stressors are used to track and penalize yield potential using a dynamic set of inputs. The crop yield model works in conjunction with a crop phenology model to facilitate identification of historical averages for various phenological states of the crop development.

公开(公告)号：US20250069016A1

公开(公告)日：2025-02-27

申请号：US18724452

申请日：2022-12-30

Applicant: BASF CORPORATION

Inventor： Joseph Martin RUSSO ,  Jeffrey Wayne GRIMM ,  Jay Wesley SCHLEGEL ,  Jeffrey Thomas SPENCER

IPC: G06Q10/0637 ,  G06Q50/02

Abstract: Embodiments of the present disclosure related to systems and methods of a field-scale crop phenology model for simulating/computing plant development stages of a crop. The field-scale crop phenology model is used to simulate plant development stages during a growing season. Knowledge of plant stages, especially as a forecast, helps the timing of chemical applications as well as other crop-dependent management decisions. Together with a user's field location, planting date, and varietal information, the crop phenology model serves as a robust field-scale decision-making tool. In certain embodiments, the phenology model can be run under three different scenarios: historical, preseason, or in-season. Using a blend of different weather data inputs, the phenology model can generate phenology results based on the desired scenario of a user.