iot$ver(cal$and$topical$summit$for$agriculture$$ 08909$may...
TRANSCRIPT
IoT Ver(cal and Topical Summit for Agriculture 08-‐09 May 2018 – Tuscany, Italy
Dr. Fabio Curto Confagricoltura
Fabio Curto 33 years old -‐ Veterinary Medicine in Parma University -‐ Owner with the family of PONTE VECCHIO FARM Italy -‐ Veneto region
Global Scenarios
The global demand for food and fiber, feed, biomass, biomaterials is dramaHcally increasing: + 70% by 2050. (source FAO)
Our world is becoming hot and hungry
Research and innovaHon are the key concepts to sHmulate the whole European socio-‐economic model
Processes of knowledge transfer and innovaHon disseminaHon are
the best drivers to reach a sustainable growth
We must invest more in Research & InnovaHon.
From now!
How to increase the producHon of farms and their sustainability?
How to face climate change and protect the environment ?
How to solve some criHcal aspects of our agriculture (low
dimension, ageing, no digit, low innovaHon rate?)
How to produce new materials and energies by the primary sector?
How to improve the use of new knoeledge and InnovaHons?
The Italian context (1/3)
§ ProducHvity is increasing at lower rates
§ The naHonal agricultural producHon is stable and the rate (+ 0.6%) is lower than the European level
§ In 2017 GDP is increasing (+1,5%), but the agricultural added value is decreasing (-‐3,4%)
§ Agriculture share of the fresh products is no more than 20% of the final price to the retailers
§ Companies’ declared incomes (Istat, 2010):
ü 81% Less than 25.000 €/year
ü 6% Up to 100.000 €/year
§ Digital farms: 70.000 (4%) (Istat, 2012)
§ Farms which frequently use web: 21.000 (1,2%)
§ Average age of farmers: 55,4 years
The Italian context (2/3)
Some posi(ve trends : § InnovaHon is a key factor to enhance compeHHveness; § New aggregaHon structures (e.g.SMEs network, ConsorHa, CollecHve Supply) § Lower total number of farms but higher share of skilled farms § More efficient use of technical instruments; § Subcontract some acHviHes to agromechanical companies:
ü To reduce producHon costs; ü Having modern technologies and skilled technicians ü To saHsfy the innovaHon and new technology demands;
The Italian context (3/3)
Precision Management of Land
Time of cropping
ac(vi(es
Time of decision-‐
making
Produc(on costs COSTS
Sustainable produc(on Environmental
sustainability
Economic sustainability
Availability of
data and informa(on
beMer management of
farms
Produc(vity
Quality of products
Added Values of
product
Precision Agriculture: advantages
INTANGIBLE
INCOMES
Production Processing Distribution Consumption
• Cropping and machine sensors
• Drones • Satellite images • Decision Support Systems
• …
• Quality control sensors • Big Data Analy(cs • Dematerializa(on systems
• Integrated traceability • …
• Logis(cs op(miza(on systems
• eCommerce and Food Delivery plaVorms
• Blockchain • …
• Intelligent labels • Waste reduc(on sensors
• Meal kits • Big Data Analy(cs • …
Agriculture 4.0: digital efficiency
BIG DATA Vs SMART DATA
Data: Quan(ty, without meaning, would be nothing
The quality and the availability of InformaHon and data are ogen limited by:. 1. Structuring the dataset (spaHal and temporary allignment of data) 2. Processing the dataset through mulHvariate geostaHsHcs applicaHons; 3. Modelling to an efficient forecasHng and definiHon; 4. Managing all the informaHon deriving from sensors and machines located in
different places to obtain common data (who has the property?)
BIG DATA Vs SMART DATA
Confedera(on’s Strategy : goals
InnovaHon
To know the real needs of farms and lands
To coordinate and standardize acHviHes and
methodologies among the mulHple actors of the supply chain
To promote a wide disseminaHon of innovaHons
Research
To make available the results of research projects (at regional, naHonal and internaHonal scale)
To guide future research to sHmulate and support innovaHon
Training
Looking for training, skills and informaHon real needs
Farmers Stakeholders of the innovaHon process
Il miglioramento compe((vo
Confedera(on’s Strategy: compe((ve advantages
The results of some researches (2016) show that: § the compeHHve economical advantage of our farmers is the main sHmulus to foster innovaHon. § the beker way to improve market shares and economic growth is the adaptaHon and adopHon of both products and processes innovaHons
§ our farmers demand innovaHons to improve: ü ProducHvity, profitability and efficient use of resources; ü The role of agriculture in the food supply chains; ü Quality, tradiHon and safety of food
STRATEGY = TRADITION + INNOVATION
INNOVATION CULTIVATING TRADITION
IoT VerHcal and Topical Summit for Agriculture 08-‐09 May 2018 – Tuscany, Italy
Do2. Fabio Curto
INNOVATION CULTIVATING TRADITION
The Farm Structure
350 ha
20 people
350 animals
90 ha arable land and grass
260 ha pasture in alpage
20 employees – summer Hme
10 employees – winter Hme
130 milking cows
60 meet cows
130 young cows
30 pigs
The Farm – Summer Pasture
The Farm Structure
• dairy farm • cheese factory • shop (cheeses/meet/salami) and agriturismo
The Context of the Investment
The parent’s dairy farm destroyed by the fire caused by lightning
Times of a difficult contest in milk sector
The Challenge
RESTART with the DAIRY FARM in a NEW WAY
TECHNOLOGICAL and SCIENTIFIC approch in FARM WORK link with TRADITION
The Inves@ment
START in DECEMBER 2014 -‐ END in SEPTEMBER 2015
The Investment
the first italian fully roboHc applicaHon with a single sogware for the management of the different stages of work in a dairy farm
The Milking Robot
-‐ Milking without human intervenHon
-‐ A specific collar recognizes the cows
-‐ Cows are weighed at every milking
-‐ Milk is analysed every Hme (masHHs control)
-‐ Control the producHon performances
-‐ Control the ruminacHon acHvity (health control)
-‐ Count the kineHc acHvity (reproducHon control)
-‐ All collected in unic sogware (PC -‐ Smartphone) under control 24 h/day by App
The Feeding Robot
-‐ Feeding system completely automaHc
-‐ Feeding more Hmes a day like a natural way (every Hme fresch feed) -‐Control the feeding ingesHon, more efficency in feeding raHon -‐Knows and control how much the cows eat depending on producHon, reproducHon status, and growth -‐Less and green energy required (no Diesel tractor but electricity from solar system)
The Feeding Robot
The Results
• Increased number of cows (up to 25%) • Increased singular cow producHon
• Improved cows welfare (more control by objecHv data)
• Less use of drugs and anHbioHcs
• more safe milk for more high quality produc(ons
• Increased breeding professionalism and life quality of farm employees
• More efficency in all the proces (work/feed/energy)
The Lesson
TECHNOLOGY and INNOVATION in agriculture is the FUTURE
Help to the professional breeder to make a beMer work
IMPROVED BREEDING PRACTICE linked to COWS WELFARE
INNOVATION beau(fully linked with TRADITION
The Lesson
THE AIM of Commun Agricoltural Policy THE AIM of Precision Farming
Make VALUE at the rural areas
INNOVACION can help to give the possibility at the PEOPLE employed in agricultur to have the RIGHT ECONOMICAL VALUE for their work ENVIRONMENTAL VALUE FOOD VALUE QUALITY OF LIFE VALUE
THANKS FOR THE ATTENTION
Do2. Curto Fabio
La strategia confederale in termini d’innovazione parte dal presupposto che il
vantaggio compeHHvo è lo sHmolo più forte per facilitare l’adozione delle
innovazioni da parte delle nostre aziende. In questo modo si fornisce la concreta
possibilità di risolvere i problemi delle imprese, di rilanciare la loro compeHHvità e,
allo stesso tempo, di cogliere le sfide globali che vanno dalla sicurezza alimentare
al cambiamento climaHco.
Le innovazioni di prodoko e di processo, quindi, risultano quelle più adake in
questa prima fase mantenendo, però, sempre un occhio verso le temaHche
strategiche per lo sviluppo dell’intero sekore agricolo: eco-‐innovazioni,
bio-‐economia, economia circolare, cambiamento climaHco e energie rinnovabili.
NOTA DI CHIUSURA: Conce2o che andrebbe espresso in chiusura, evidenziando la “bontà” dell’innovazione e dell’AP, ma senza dimenKcare il contesto economico e di sostenibilità in cui ci troviamo