Almond Bloom Timing Prediction via Image Recognition
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Solution Overview
Problem
Almond growers face challenges in accurately determining the application timing of ReTain®, a 15% w/w solution of [S]-trans-2-Amino-4-(2-aminoethoxy)-3-butenoic acid hydrochloride, due to varied and inaccurate perceptions of bloom, leading to reduced efficacy and financial burdens from misapplication.
Innovation Solution
A computerized cloud-based system that collects user observations, including geographic location, perceived bloom percentage, and images of almond trees, selects a bloom progression model, predicts the bloom progression rate, and determines the optimal application timing of AVG-HCl, ensuring accurate and timely application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If almond growers rely on their own perception of bloom to determine application timing, then the operation is simple and quick, but the measurement precision of bloom stage is inaccurate and varied
Solution Approach 1:
The patent introduces an intermediary system (mobile application with image recognition technology) that mediates between the grower's observation and the determination of application timing. The system captures images of almond trees and uses automated analysis to objectively determine bloom stage, replacing subjective human perception with an intermediary technological layer that provides accurate, standardized measurements while keeping the operation simple for the user.
2Productivity
If ReTain® is applied too early or too late, then the application process is completed, but the efficacy of the product is reduced or eliminated
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors bloom progression through sequential image capture and analysis. It provides real-time feedback to growers about the current bloom stage and recommends optimal application timing based on the 30-60% bloom window. This feedback loop ensures that applications are timed correctly to maximize efficacy while maintaining simple operational procedures.
3Measurement precision
If a cloud-based system with multiple parameters is used to determine application timing, then the precision of timing determination is improved, but the device complexity increases
Solution Approach 1:
The patent implements self-service functionality where the system automatically performs complex tasks without requiring user expertise. The mobile application automatically captures images, processes them through image recognition algorithms, selects appropriate bloom progression models, and calculates recommended application timing. This shields the user from the underlying complexity while delivering precise timing recommendations.
Solution Approach 2:
The patent creates a universal system that handles multiple functions within a single platform: image capture, image analysis, bloom stage determination, progression modeling, and application timing recommendation. By consolidating these functions into one multi-functional system, the patent reduces the need for multiple separate tools and expertise areas, thereby managing complexity while maintaining high measurement precision.
Data Source
AI summary
The present invention is related to a computer-implemented cloud-based almond management system and methods. The system comprises a plurality of user inputs and prediction models for determining application timing of [S]-trans-2-amino-4-(2-aminoethoxy)-3-butenoic acid hydrochloride (AVG-HCl).