Crop NDVI Monitoring with Theoretical Optimum Profiles
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The interpretability of satellite-based vegetation indices like NDVI for crop monitoring is challenging for farmers due to the lack of reference data, making it difficult to determine if observed NDVI levels are good or bad without context.
Innovation Solution
A computer-implemented method for dynamically monitoring crop development using aerial imagery, comparing observed biomass indicators with theoretical optimum profiles, allowing real-time detection of deviations and enabling corrective actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If satellite-based vegetation indices like NDVI are used for crop monitoring, then remote measurement of crop development is enabled, but interpretability becomes challenging for farmers due to lack of reference data
Solution Approach 1:
The patent introduces theoretical optimum profiles as an intermediary between raw NDVI data and farmer decision-making. These profiles serve as a reference framework that translates complex satellite data into interpretable benchmarks, allowing farmers to assess crop health without needing to understand the underlying vegetation index calculations
Solution Approach 2:
The patent transforms the abstract NDVI parameter into meaningful context by comparing it against theoretical optimum profiles that represent ideal crop development trajectories. This parameter transformation converts raw satellite data into actionable insights about crop performance relative to expected standards
2Measurement precision
If traditional monitoring methods with physical field visits are used, then direct observation of crop conditions is possible, but time consumption and resource requirements increase
Solution Approach 1:
The patent uses satellite imagery as a copy or representation of the actual crop state, allowing remote observation that replicates the information gathering function of physical field visits. This copying approach enables monitoring without the time and resource costs of traveling to each field
Solution Approach 2:
The patent replaces the mechanical system of physical field visits with an automated remote sensing system. Satellite-based monitoring substitutes human travel and manual observation with automated image capture and analysis, dramatically reducing time consumption while maintaining monitoring capabilities
3Ease of operation
If equal amounts of inputs are applied over an entire field, then management is simplified, but within-field soil variations are not addressed
Solution Approach 1:
The patent enables differentiation of input requirements across different zones within a field by comparing NDVI measurements against theoretical optimum profiles. This local quality approach allows tailored management strategies for different field areas based on their specific performance relative to expected standards, rather than applying uniform treatment
4Measurement precision
If multiple vegetation indices are calculated to capture different aspects of vegetation condition, then measurement comprehensiveness increases, but data complexity and processing requirements increase
Solution Approach 1:
The patent employs the NDVI index with multi-functional application, using it to assess multiple aspects of crop condition including biomass, greenness, and development stage through comparison with theoretical optimum profiles. This universal approach allows comprehensive monitoring using a single, well-established index rather than requiring multiple specialized indices
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances crop yield by providing ecocompatible and economical monitoring, adapting cultivation practices to specific species and genetics, and detecting temporal or spatial deviations without physical field visits.
Implementation Method 1
by analyzing the light reflected by plants (reflectance), it is possible to deduce the quantity of radiation absorbed
Implementation Method 2
as plant chlorophyll preferentially absorbs photons traveling in the range of light wavelengths that humans perceive as red and blue
Data Source
Figure 1
Figure 2A~2B
Figure 3
AI summary
The invention is to provide a method, implemented by computer, for dynamic monitoring of the production of an agricultural plot (Px) on which develops at least one plant variety Vx of a given species Ex. For this purpose, the method consists in calculating and making available a theoretical optimal development profile (TODP: comparison standard) for Px NDVI profiles, enabling their operational interpretation in the form of a theoretical optimum profile. This calculation relies on agronomic, meteorological and satellite imagery data. The method also includes comparing the TODP with the Vx development actually observed on Px, so as to enable anomalies to be detected. This anomaly detection will enable the farmer to take corrective action such as irrigation, reseeding targeted areas, additional nitrogen application, etc. The invention also pertains to a computer program comprising a series of instructions which, when executed by a processor, implement a method according to the invention.