Farm Monitoring Systems for Agriculture

1. Smart Agriculture
Products and Services for agriculture monitoring
Fa.Mo.S.A. s.r.l.
web: http://www.famosasrl.com
mail: massimo.noferini@famosasrl.com

2. Fa.Mo.S.A.:
introduction

3. 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.

4. Fa.Mo.S.A.:
activities

5. 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)

6. Different phases of Data Collection
4.1
Alerting
4.2
Notification
4.4
Analytics
4.5
Data Mining
4.3
Consulting
3.1
Raw Data
Cleaning
3.2
Raw Data
Transformation
3.3
Raw Data
Aggregation
3.4
Data
Visualization
2.
Raw Data
Transmission
VAL
VAL
VAL RAW DATA
DB
DATA DB
1.
Raw Data
Reading

7. Data Collection: 1. Field Data Recording
Filed Data
Recording
CONTINUOUS RECORDING by NODESPORTABLE DEVICES

8. Data Collection: 2. Field Data Transmission
Field Data
Transmission
BY HAND Wi-Fi GPRS LP WAN SATELLITE

9. Data Collection: 3. Data Validation & Aggregation
3.1
Raw Data
Cleaning
3.2
Raw Data
Transformation
3.3
Raw Data
Aggregation
3.4
Data
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

10. Data Collection: 4. Data Usage
Send Alert4.1
Alerting
4.2
Notification
4.4
Analytics
4.5
Data Mining
4.3
Consulting
Events Notifications
Agronomic Consulting
Analytics, Reporting, Benchmarking
Scan, Pattern, Models, Predictive Analytics, ecc.
Data Usage

11. Fa.Mo.S.A.
How FaMoSA builds its solutions

12. 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)

13. 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

14. 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

15. Collecting Weather Data: comparing two ways
Classic 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

16. The “Node” logic
Modular 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.

17. Node “SOIL”:
monitoring soil humidity
SOIL
Keeps 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

18. Node “IRRIGATION MONITOR”:
monitoring irrigation on the ground
IRRIGATION MONITORING
The 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

19. Node “LEAF WETNESS”:
monitoring of fungal deseases
LEAF WETNESS
Leaf 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

20. 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

21. 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

22. esiFARM
cloud 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

23. esiFARM: the Fa.Mo.S.A. service platform
LPWAN Nodes
Cloud Portal

24. Each nodes communicates with esiFARM using different networks
INTERNET
NETWORK
PLATFORM
3G / 4G / GPRS / SIGFOX/LORAWAN
esiFARM

25. 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.

26. 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 portal
two 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

27. 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.

28. Holdings already served by esiFARM

29. Fa.Mo.S.A.
Case Histories

30. Mais
Driving 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.

31. Mais: monitoring water stress / 1

32. 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.

33. 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.

34. 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.

35. Alert and
Monitoring
Samples on using esiFARM portal to
monitor signals and alerts

36. Alert and Monitoring / 1

37. Alert and Monitoring / 2

38. Tomato
Soil Water monitoring

39. Stress Idrico ASSENTE
Stress Idrico LIEVE
Stress Idrico ELEVATO
Tomato: soil water monitoring

40. Strawberry in
greenhouses
Monitoring Temperature

41. Stress termico ASSENTE
Stress termico LIEVE
Stress termico ELEVATO
Strawberry: monitoring temperature

42. Melon
Monitoring Water Salinity

43. Melon: monitoring water salinity
Stress salino ELEVATO
ATTENZIONE!
Perdita del 50% della
produzione!

44. Other cases

45. Other Case Histories