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CropX Soil Moisture Sensor

CropX is the only advanced DIY system in the market for optimizing and automation of farm management and it takes less than 5 minutes to install.

£593.00
Manufacturer: CropX
SKU: CropX Sensor Kit
Free shipping
Delivery date 3-10 business days
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WELCOME TO THE ERA OF DATA-DRIVEN FARMING

Optimize & automize farm management, using the world's most scalable platform to integrate data from both above and below ground.

CropX-cover-image

CropX Soil Moisture Sensor

This CropX system comprises a unique soil sensor integrated into a big data web app platform along with additional relevant information such as weather data and satellite imagery.

It integrates crop models, satellite imagery and weather forecast data alongside the soil data to optimise water and fertiliser availability and create crop-specific application recommendations.

CropX is the only DIY system in the market and it only takes less than 5 minutes to install.

 

Selected Features

 

Adaptive, Variable-rate Irrigation Management & Automation

The CropX app can help figure out exactly how much to irrigate the field, by providing an irrigation prescription that is constantly adapting to the changing conditions of the field.

By factoring in thousands of data points from previous cases, we can predict water-uptake patterns, detect faulty irrigation system and burst pipes and improve the decision-making process.

Crop-specific management: Solving crop variability and risk

By analyzing crop growth against crop models, we can predict the crop’s needs and expected growth, and can detect any deviation and identify early-stage field variability and non-uniformity of crop growth.

We provide crop-specific recommendations and send alerts about field segments that need attention due to potential risk from pests or diseases.

Do your plants have problems? We’ll know before they do.

Optimized fertilizer management to reduce crop loss

We take crop loss very seriously and ensuring that nitrogen is available to crops when they need it most is one important step to reducing crop loss.

We integrate crop models, satellite imagery and weather forecast data alongside the soil data we analyze to optimize fertilizer availability and create crop-specific application recommendations.

Built with Your Business’ Needs in Mind: Manage all of your clients’ fields from one simple cloud platform

Do you manage fields that span 400 acres? 4,000 acres? That’s a lot of data to manage and act on. We connect all of your fields on a single platform and implement customized roles and permissions so each user can have separate privileges and notifications.

 

Soil Sensors

Each sensor collects moisture, temperature and electrical conductivity (EC) at multiple depths. Intervals of data measurement and transmission to the CropX cloud can be remotely configured and adjusted to each crop’s unique needs.
All of the data is geo-tagged based on GPS coordinates creating geospatial time series for all measured data.

Moisture:
Measurement of volumetric water content (VWC) values via ADR sensors. Moisture values are converted from electric impedance to VWC levels using a proprietary self-calibration method. Moisture values have an accuracy of +/- 0.5% across a range of 0-60% VWC.

Temperature:
Temperatures are measured with an accuracy of +/- 0.5°C (max) and an operating range of -10°C to +70°C.
Each unit also measures the internal temperature of the unit above ground, which can help with increasing the precision of weather data.

Electric Conductivity (EC):
Measurement in decisiemens/m, with an operating range of 0-5 decisiemens/m (bulk), representing the soil salinity level, which can be used to manage crop salinity regime.

Precise Weather

CropX is using various ag-specific weather data services to obtain precise weather information relevant to the users and CropX’s algorithms.
For each location CropX chooses the best relevant data source, according to various parameters.

Weather information includes air temperature, humidity, wind speed, evapotranspiration (ET), precipitation, min and max temperatures and more.

One-week forcasts are presented and all data can be exported.

Aerial Imagery

For each field, we pull high-resolution aerial images from several sources, using many ag-related indices including Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Moisture Stress Index (MSI), True Color (RGB) and other relevant indices.

Images are collected from several satellites, which allow CropX to retrieve a new image for every field every two to three days in average.

Topography Maps

Topography has a huge impact on the flow of water and nutrients in the soil and in the field.
CropX uses Digital Elevation Maps (DEM) retrieved from various sources, to provide high resolution.

Soil Mapping

Soil type and texture are essential to the correct calculation of precise moisture levels, irrigation regime, hydraulic properties and organic matter.
We use publicly-available soil maps and allow for upload of customers’ existing EM and GIS Spatial maps, and users can input data on soil specification, so that the platform can analyze these parameters.

Hydraulic Models

CropX Sensor provides a series of geospatial-temporal moisture level measurements, iterating periodically over time for each specific depth in which CropX Sensor is equipped with an electrode.
In order to make those depth-specific measurements into a continuous sensor, capturing an accurate view of the soil’s water content, a highly precise hydraulic model is being used.

This model enables CropX to simulate the soil’s water content starting from the ground level downwards, going down as deep as two meters below the root-zone as well as providing historical analysis and future prediction.

Using the continuous properties which are being calculated as part of the model, CropX can improve the precision of the field irrigation plan in order to reduce water usage.

Furthermore, the model can be used to control fertilizers distribution in the soil, as well as monitoring the plant’s uptake rate, at the exact depth of the crop’s effective root zone.

Crop Models

CropX uses many crop models in order to learn and understand the behavior of its supported crops from all the relevant aspects – water uptake, growth stages, nutrient uptake, water and salinity stresses and more.

The infrastructure developed allows CropX to manage these models on a regional basis, understating that Corn growth in Arizona’s arid climate may differ significantly than Corn growing in Australia’s tepid climate.

Our machine learning algorithms constantly adapt these models to the actual growth of the supported crops, thus refining these models continuously.

Currently supported crops include:

Sweet Potato, Wheat, Sugar Cane, Cotton, Maize, Soy, Sunflower, Peas, Quinoa, Green Beans, Carrot, Sugar Beet, Tef, Sorghum, Tomato, Rice, Corn, Barley, Potato, Winter Wheat, Onion, Canola, Alfalfa and Grass Lands, with additional 20 crop types and varieties currently in the pipeline.

User Input

In order to provide its customers with meaningful insights, alerts and information, CropX collects information from its end users, relevant to CropX offering, including field size and location, irrigation system and parameters, crop type and related info (such as growth cycle, planting date, expected GDD), irrigation management thresholds, and more. This data too is then geo-tagged and correlated with units’ data.

 

How it works

An algorithm that leverages both above and below ground data layers.

CropX-algorithms

Each sensor collects moisture, temperature and electrical conductivity at multiple depths. Intervals of data measurement and transmission to the CropX cloud can be remotely configured and adjusted to each crop’s unique needs.

Data is geo-tagged based on GPS coordinates creating geospatial time series for all measured data.

The CropX models constantly adapt to the crop’s growth stage and to the changing conditions of the soil and weather to provide crop-specific recommendations that help achieve maximal yield.

How it could be used on your property

Adaptive, variable-rate irrigation prescriptions are automatically generated to optimise input application, potentially leading to significant water, fertiliser, energy, and labour savings.

 

Installation
 
​The patented best-in-class CropX soil sensor makes it easy to collect soil moisture data. Simply install and register the product into your account with the QR code. The cloud-based CropX platform will collect data such as water content, temperature and electrical conductivity from the sensor.
 
 
QR Code - Sync with Mobile Device
​From there, the data is analyzed for you to make personalized recommendations for your farming operation. From soil moisture to fertilization levels, you’ll have the latest information available at your fingertips to make the best decision for your crops – all while saving you time and energy costs.
 
 

CropX Deep Sensor

CropX Deep Sensor now deliver:

  • Global ease of use thanks to expanded compatibility with worldwide cellular systems;
  • Increased sensor longevity based on the addition of a USB-compatible rechargeable battery pack;
  • Satellite communication capabilities—an industry first;  
  • Better cloud data connectivity via a faster, self-selecting internal modem that automatically connects the sensor to the cellular service with the most powerful signal;
  • And the ability to measure electrical conductivity (EC) salt concentration in the soil as a first step into smart fertilization management.

In addition, the CropX Deep Sensor now gives farmers an easy way to get accurate soil readings at three specific depths. In addition to the 8” and 18” measurements standard in all CropX sensors, the CropX Deep Sensor digs deeper into the soil to give farmers visibility into important moisture, temperature and EC measurements 36” underground. The CropX Deep Sensor, with the standard CropX DIY installation, is ideal for deep-rooted, permanent crops such as grapes.

WELCOME TO THE ERA OF DATA-DRIVEN FARMING

Optimize & automize farm management, using the world's most scalable platform to integrate data from both above and below ground.

CropX-cover-image

CropX Soil Moisture Sensor

This CropX system comprises a unique soil sensor integrated into a big data web app platform along with additional relevant information such as weather data and satellite imagery.

It integrates crop models, satellite imagery and weather forecast data alongside the soil data to optimise water and fertiliser availability and create crop-specific application recommendations.

CropX is the only DIY system in the market and it only takes less than 5 minutes to install.

 

Selected Features

 

Adaptive, Variable-rate Irrigation Management & Automation

The CropX app can help figure out exactly how much to irrigate the field, by providing an irrigation prescription that is constantly adapting to the changing conditions of the field.

By factoring in thousands of data points from previous cases, we can predict water-uptake patterns, detect faulty irrigation system and burst pipes and improve the decision-making process.

Crop-specific management: Solving crop variability and risk

By analyzing crop growth against crop models, we can predict the crop’s needs and expected growth, and can detect any deviation and identify early-stage field variability and non-uniformity of crop growth.

We provide crop-specific recommendations and send alerts about field segments that need attention due to potential risk from pests or diseases.

Do your plants have problems? We’ll know before they do.

Optimized fertilizer management to reduce crop loss

We take crop loss very seriously and ensuring that nitrogen is available to crops when they need it most is one important step to reducing crop loss.

We integrate crop models, satellite imagery and weather forecast data alongside the soil data we analyze to optimize fertilizer availability and create crop-specific application recommendations.

Built with Your Business’ Needs in Mind: Manage all of your clients’ fields from one simple cloud platform

Do you manage fields that span 400 acres? 4,000 acres? That’s a lot of data to manage and act on. We connect all of your fields on a single platform and implement customized roles and permissions so each user can have separate privileges and notifications.

 

Soil Sensors

Each sensor collects moisture, temperature and electrical conductivity (EC) at multiple depths. Intervals of data measurement and transmission to the CropX cloud can be remotely configured and adjusted to each crop’s unique needs.
All of the data is geo-tagged based on GPS coordinates creating geospatial time series for all measured data.

Moisture:
Measurement of volumetric water content (VWC) values via ADR sensors. Moisture values are converted from electric impedance to VWC levels using a proprietary self-calibration method. Moisture values have an accuracy of +/- 0.5% across a range of 0-60% VWC.

Temperature:
Temperatures are measured with an accuracy of +/- 0.5°C (max) and an operating range of -10°C to +70°C.
Each unit also measures the internal temperature of the unit above ground, which can help with increasing the precision of weather data.

Electric Conductivity (EC):
Measurement in decisiemens/m, with an operating range of 0-5 decisiemens/m (bulk), representing the soil salinity level, which can be used to manage crop salinity regime.

Precise Weather

CropX is using various ag-specific weather data services to obtain precise weather information relevant to the users and CropX’s algorithms.
For each location CropX chooses the best relevant data source, according to various parameters.

Weather information includes air temperature, humidity, wind speed, evapotranspiration (ET), precipitation, min and max temperatures and more.

One-week forcasts are presented and all data can be exported.

Aerial Imagery

For each field, we pull high-resolution aerial images from several sources, using many ag-related indices including Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Moisture Stress Index (MSI), True Color (RGB) and other relevant indices.

Images are collected from several satellites, which allow CropX to retrieve a new image for every field every two to three days in average.

Topography Maps

Topography has a huge impact on the flow of water and nutrients in the soil and in the field.
CropX uses Digital Elevation Maps (DEM) retrieved from various sources, to provide high resolution.

Soil Mapping

Soil type and texture are essential to the correct calculation of precise moisture levels, irrigation regime, hydraulic properties and organic matter.
We use publicly-available soil maps and allow for upload of customers’ existing EM and GIS Spatial maps, and users can input data on soil specification, so that the platform can analyze these parameters.

Hydraulic Models

CropX Sensor provides a series of geospatial-temporal moisture level measurements, iterating periodically over time for each specific depth in which CropX Sensor is equipped with an electrode.
In order to make those depth-specific measurements into a continuous sensor, capturing an accurate view of the soil’s water content, a highly precise hydraulic model is being used.

This model enables CropX to simulate the soil’s water content starting from the ground level downwards, going down as deep as two meters below the root-zone as well as providing historical analysis and future prediction.

Using the continuous properties which are being calculated as part of the model, CropX can improve the precision of the field irrigation plan in order to reduce water usage.

Furthermore, the model can be used to control fertilizers distribution in the soil, as well as monitoring the plant’s uptake rate, at the exact depth of the crop’s effective root zone.

Crop Models

CropX uses many crop models in order to learn and understand the behavior of its supported crops from all the relevant aspects – water uptake, growth stages, nutrient uptake, water and salinity stresses and more.

The infrastructure developed allows CropX to manage these models on a regional basis, understating that Corn growth in Arizona’s arid climate may differ significantly than Corn growing in Australia’s tepid climate.

Our machine learning algorithms constantly adapt these models to the actual growth of the supported crops, thus refining these models continuously.

Currently supported crops include:

Sweet Potato, Wheat, Sugar Cane, Cotton, Maize, Soy, Sunflower, Peas, Quinoa, Green Beans, Carrot, Sugar Beet, Tef, Sorghum, Tomato, Rice, Corn, Barley, Potato, Winter Wheat, Onion, Canola, Alfalfa and Grass Lands, with additional 20 crop types and varieties currently in the pipeline.

User Input

In order to provide its customers with meaningful insights, alerts and information, CropX collects information from its end users, relevant to CropX offering, including field size and location, irrigation system and parameters, crop type and related info (such as growth cycle, planting date, expected GDD), irrigation management thresholds, and more. This data too is then geo-tagged and correlated with units’ data.

 

How it works

An algorithm that leverages both above and below ground data layers.

CropX-algorithms

Each sensor collects moisture, temperature and electrical conductivity at multiple depths. Intervals of data measurement and transmission to the CropX cloud can be remotely configured and adjusted to each crop’s unique needs.

Data is geo-tagged based on GPS coordinates creating geospatial time series for all measured data.

The CropX models constantly adapt to the crop’s growth stage and to the changing conditions of the soil and weather to provide crop-specific recommendations that help achieve maximal yield.

How it could be used on your property

Adaptive, variable-rate irrigation prescriptions are automatically generated to optimise input application, potentially leading to significant water, fertiliser, energy, and labour savings.

 

Installation
 
​The patented best-in-class CropX soil sensor makes it easy to collect soil moisture data. Simply install and register the product into your account with the QR code. The cloud-based CropX platform will collect data such as water content, temperature and electrical conductivity from the sensor.
 
 
QR Code - Sync with Mobile Device
​From there, the data is analyzed for you to make personalized recommendations for your farming operation. From soil moisture to fertilization levels, you’ll have the latest information available at your fingertips to make the best decision for your crops – all while saving you time and energy costs.
 
 

CropX Deep Sensor

CropX Deep Sensor now deliver:

  • Global ease of use thanks to expanded compatibility with worldwide cellular systems;
  • Increased sensor longevity based on the addition of a USB-compatible rechargeable battery pack;
  • Satellite communication capabilities—an industry first;  
  • Better cloud data connectivity via a faster, self-selecting internal modem that automatically connects the sensor to the cellular service with the most powerful signal;
  • And the ability to measure electrical conductivity (EC) salt concentration in the soil as a first step into smart fertilization management.

In addition, the CropX Deep Sensor now gives farmers an easy way to get accurate soil readings at three specific depths. In addition to the 8” and 18” measurements standard in all CropX sensors, the CropX Deep Sensor digs deeper into the soil to give farmers visibility into important moisture, temperature and EC measurements 36” underground. The CropX Deep Sensor, with the standard CropX DIY installation, is ideal for deep-rooted, permanent crops such as grapes.

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