Vineyard Moisture Sensing for Zone-Based Irrigation Decisions
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Solution Overview
Problem
Current technologies in agriculture, particularly in wine grape production, lack effective tools for managing water resources under drought conditions, failing to integrate physical models with sensor data and translate it into actionable decisions for vineyard managers, leading to inefficiencies in irrigation and crop management.
Innovation Solution
A system and method utilizing a network of temperature and moisture sensors to determine volumetric water content, spatial and temporal variability, and plant available water, combined with soil texture and composition analysis, to provide high-resolution data for precise irrigation control and decision-making, including predicting harvest dates and composition variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional irrigation methods are used, then water application is simple, but water use efficiency is low and irrigation timing is imprecise
Solution Approach 1:
The vineyard is divided into multiple zones with sensors deployed at different locations to capture spatial variability in soil moisture conditions, allowing precision irrigation decisions for each zone
Solution Approach 2:
A cloud-based data processing platform serves as an intermediary between sensors and farmers, automatically processing raw sensor data into actionable irrigation recommendations through integrated algorithms
2Productivity
If frequent irrigation is applied to maximize yield, then crop productivity increases, but water consumption increases and vine sustainability decreases
Solution Approach 1:
The system continuously monitors soil moisture levels and provides real-time feedback to adjust irrigation timing and amounts, ensuring water is applied only when and where needed to maintain optimal vine conditions
Solution Approach 2:
The system applies partial irrigation actions based on actual vine needs rather than maximum irrigation, using sensor data to determine the precise amount of water required to maintain productivity while conserving resources
3Quantity of substance
If manual monitoring of soil moisture is performed, then equipment costs are low, but measurement frequency is insufficient and spatial coverage is limited
Solution Approach 1:
The sensor network is designed to monitor multiple parameters (soil moisture, temperature, humidity) simultaneously and can be adapted to different vineyard configurations, providing universal applicability across various agricultural conditions
4Adaptability or versatility
If irrigation is applied uniformly across the field, then management is simple, but spatial variability in soil moisture is not addressed
Solution Approach 1:
The system enables different irrigation strategies to be applied to different zones within the vineyard based on local soil moisture conditions, soil type, and vine needs, allowing customized management for each area
Data Source
AI summary
Disclosed herein are a system and method that integrate vineyard sensor data into an environment that enables analysis, historical trend analytics, spatio-temporal analytics, and weather model fusion for improved decision making from vineyard management to wine production. The integration of new sensor data from multiple soil depths with surface measurements, combined with production flow process and historical information enables new decision making capabilities. A wireless network of sensor/transmitters can be distributed to provide a 3-dimensional assessment of water movement both across the grower's field and as it moves from the surface through the root zone. The soil monitoring data stream feeds into a visualization interface that will be incorporated in software based decision aid and crop management tool that helps agricultural producers reduce costs, minimize water and nutrient applications, and better protect the environment by reducing agricultural production inputs.