fa.mo.s.a.: presentation
TRANSCRIPT
Smart Agriculture
Products and Services for agriculture monitoringFa.Mo.S.A. s.r.l.
web: http://www.famosasrl.commail: [email protected]
Fa.Mo.S.A.: Farm Monitoring Systems for Agriculture
FA.MO.S.A. is a start-up born to offer products and services
for the “Smart Agriculture”.
FaMoSA helps people and companies working in agriculture
(individual farmers, consortia, cooperatives, clubs) with
technologies and tools based on IoT (Internet of Things)
applied to agriculture.
FaMoSA supports crops production and urban landscape
management, as irrigation, fertilization control, growth,
ripening, pruning and thinning, plant diseases, post-harvest
conservation.
FaMoSA’s main activities:
1) Field Data recording by means of problem-oriented devices
2) Data Transmission to Cloud Platform
3) Archiving of Raw, Validated and Aggregate Data
4) Value Added Services based on Data Analysis(crop modeling and alert deployment)
Different phases of Data Collection
4.1Alerting
4.2Notification
4.4Analytics
4.5Data Mining
4.3Consulting
3.1Raw Data Cleaning
3.2Raw Data
Transformation
3.3Raw Data
Aggregation
3.4Data
Visualization
2.Raw Data
Transmission
VALVAL
VAL RAW DATA DB DATA DB
1.Raw Data Reading
Data Collection: 1. Field Data RecordingFiled Data Recording
CONTINUOUS RECORDING by NODESPORTABLE DEVICES
Data Collection: 2. Field Data Transmission
Field Data Transmission
BY HAND Wi-Fi GPRS LP WAN SATELLITE
Data Collection: 3. Data Validation & Aggregation
3.1Raw Data Cleaning
3.2Raw Data
Transformation
3.3Raw Data
Aggregation
3.4Data
Visualization
… 12,32 12,33 12,41 3,1 12,39 95,3 ...
… 12,32 f(12,32) = 37,21
ex. hourly average, daily average, weekly average, etc.
Data Validation
Data Collection: 4. Data Usage
Send Alert4.1Alerting
4.2Notification
4.4Analytics
4.5Data Mining
4.3Consulting
Events Notifications
Agronomic Consulting
Analytics, Reporting, Benchmarking
Scan, Pattern, Models, Predictive Analytics, ecc.
Data Usage
Fa.Mo.S.A. operates using the best technologies for:
● IoT (Internet of Things) platform in agriculture
● probes, sensors and measuring systems
● communications network
● database and big-data platform
● “on cloud” portal platform
FaMoSA uses the best technologies available today Mixing these technologies it’s possible to collect the following quantities:
● Level of the battery● Temperature and Relative Humidity● Soil Humidity and Water Potential ● Groundwater level● Rain gauge● Pipe Water Pressure● Wind Velocity● Leaf Wetness● Maturity Index (Absorbance) ● Fruit Growth (dynamic variation of the
diameter)
A new approach to field data collection
The knowledge and use of the most advanced technologies make it possible to formulate new approaches to the study and monitoring of agricultural activities.
For example, on the following slides, we compare two ways to address the issue of collecting weather data
The collection of weather data, one of the most widely practiced, has been addressed over time using specialized, very precise, expensive, stand-alone units installed by specialists who also takes care of their maintenance. This is what we call
Applying “Internet of Things” technological innovation we can tackle this issue in a new way. We have cheap sensors specialized, distributed, able to communicate with each others. We have efficient and power networks, we have more powerful and less expensive IT resources. All these subject allows us to deliver specialized units, to collect data pervasively, to archive them "on cloud" and to elaborate a lot of data very quickly. This is what we call
Collecting Weather Data: two different approach
Classic Approach
Innovative Approach
Collecting Weather Data: comparing two waysClassic Approach Innovative Approach
● high costs● limited quantities● high precision● need of maintenance● lack of data
● limited costs● possibility to install many units● sufficient precision for the analysis scope● no maintenance● data always available on-line
The “Node” logicModular Monitoring Devices
Fa.Mo.S.A. designs and manufactures monitoring devices to control different phenomena.
These units, called “nodes”, combine the ability to detect more efficiently the specific quantities with the ability to transmit them to the platform on the cloud, using the most suitable network type for that purpose.
Node “SOIL”:monitoring soil humidity
SOILKeeps control of the water status of the soil. Should be installed at least two nodes for each type of crop / variety and soil, or at least four nodes in case of big surfaces or many discrepancies on the soil.
The device requires careful placement close to the crop and includes:
● N. 1 Logger-FOX● N.3 soil humidity sensors
Node “IRRIGATION MONITOR”: monitoring irrigation on the ground
IRRIGATION MONITORINGThe unit verifies the activation of sprinkler systems and is useful in every plant to keep under control.Requires careful placement on the sprinkler line.
Includes:● N. 1 Logger-FOX● N. 1 Sector Pressure Meter
Node “LEAF WETNESS”: monitoring of fungal deseases
LEAF WETNESSLeaf wetness monitoring to detect the onset of fungal diseases. The unit collects also air temperature and humidity. The device requires careful placement close to the crop.
Includes:● N. 1 Logger-FOX● N. 1 Temperature and Relative Humidity Sensor ● N. 1 Leaf Wetness Sensor
Nodes “METEO”Node “WIND”It detects the wind velocity and its direction on wide surfaces. Should be located far from natural or artificial barriers and at a certain height.Requires careful location.Includes:
● N. 1 Logger-FOX● N. 1 Wind/Direction
Node “RAIN GAUGE”Detects the rain distribution on wide surfaces and must be placed far from natural or artificial barriers at a certain height.Requires careful placement and regular maintenance
Includes:● N. 1 Logger-FOX● N. 1 Rain Gauge
Nodes “Growth and Maturation”Node “GROWTH”Detects the growth of the fruit or the vegetable dynamically measuring its circumference.
Includes:● N. 1 Logger-FOX● N. 1 Growth Sensor
Node “MATURATION” Detects real-time the maturation of the fruit or vegetable.
Includes:● N. 1 Logger-FOX● N. 1 Maturation Sensor
esiFARMcloud platform for archiving and publishing
of collected field data
esiFARM is a software platform developed to receive, archive and publish external data detected by “nodes”.
esiFARM is made up of three main components:
● one engine to clean, transform and archive collected raw data
● one big-data database platform● one portal platform to publish data to the
users
Each nodes communicates with esiFARM using different networks
INTERNET
NETWORK
PLATFORM3G / 4G / GPRS / SIGFOX/LORAWAN
esiFARM
Integration with other informations
Collected data may be integrated with the farm data and with informations like conferred material data (extracted from ERP), soil analysis data (PDF files), purchased seeds invoices, etc.
Consortia, Associations, Cooperatives, Groups, ecc.esiFARM has been designed to manage informations archived on the base of the specific organization of the customer.
If the customer is - a Consortium, - an Association,- one Cooperative, - one Group,- a Product Club,- etc.
is possible to define on the portaltwo different customer typology:
User: “MASTER”responds to the customer structure and are able to monitoring and control informations of all associated farm
User: “USER”assigned to each farmer, allows to access only to informations of the single farm
Value Added Services
FaMoSA has designed esiFARM thinking to grower associations, cooperatives, consortia, to whom esiFARM give Value Addes Services oriented to solve farmers problems:
Monitoring Services
- monitoring meteo data- monitoring irrigation balance- monitoring growth- monitoring chemical residues- etc.
Historical Archiving Services:
- Historic Farm Sheet management- Historic Soil Analysis- Historic Seed Consumption- Historic Production Data - etc.
MaisDriving corn irrigation in
“Fattoria dell’Agape”of Fiscaglia (FE) - Italy
Monitoring soil water status is fundamental in irrigation scheduling which is based on:
● determine time of irrigation - a delay could determine stress conditions and consequently a reduction in yield
● estimate irrigation volume / duration - excessive volume could causes water losses, runoff, leaching related to economical and environmental costs
● adjust supply intensity - high flows could generate water stagnation and a following crusting.
All these phenomena have an impact on production and economic losses. The use of appropriated technologies helps to reduce the consumption of water, electricity and fuel.
Mais: monitoring water stress / 2
Since the installation moment company's technical was able to monitor constantly for all the season the state of the soil, by comparing the data of the probes with respect to its propensity to irrigate and suggestions given by other sources of information.
Mais: monitoring of water stress idrico / 3
Row spacing in corn crop at Fiscaglia (FE) - The cracks highlight the important water consumption by the crop while the presence (not important) of weeds demonstrates the availability of water and light in the row spacing.
Mais: monitoring of water stress / 4 A solution for corn - The farm “Fattoria dell’AGAPE” in 2016 has reserved a surface of 13.5 ha for corn culture (cultivar grains for animal feed), planted on loamy soils.
Stress termico ASSENTE
Stress termico LIEVE
Stress termico ELEVATO
Strawberry: monitoring temperature