Questionnaire for Mechanized Collection Prunings
Field data (Each questionnaire refers to one crop species cultivated per field)
Municipality :
Lucera

Latitude :
41.552424

Longitude :
15.274048


Field Size (ha)
1

Crop Species
olives
vineyards
apples
pears

peaches
apricot
nectarine
plum

cherries
oranges
tangerines
lemons

grapefruit
hazelnuts
chestnuts
almonds


Variety of crop
Coratina da olio



Age of crop
55

Density of crop (trees/ha)
240

Width between cultivated rows (m)
7.0

Distance between trees (m)
6.0



Crop form


Crop forms for Olive

Ancient olives

Vase (1 stem)

Vase (2-3 stems from soil)


Bush (intensive 250-600 trees/ha)

Superintensive (>1500 trees/ha)



Slope (%)

0



Soil Cover

Bare.No grass cover.
Tillage several times per year

Seasonal occurence.
Herbicides+mowing <50% soil cover

>50% grass cover.
Mowed several times per year

100% Grass cover.
Mowed several times per year


Crop Yield
Average Crop yield (t/ha)
6.5

Crop yield before measurement (t/ha)Ammount of product obtained for the year that the pruning measurement is perfomed in tonnes per hectare
7.0


Irrigation
rain fed
partial irrigation
fully irrigated

Intensification degreeSpecify the amount of fertilizer and pesticides
organic
low
intermediate
high
Pruning Operations Performed
Type of pruning
Maintenance
Grafting

Structuring
Topping

Removal of old branches
Blooming



Pruning Method
Only manually
Mechanised pre-pruning + manual

Fully mechanised



Pruning OperationsSpecify the pruning operations that are carried out. Check as many as apply.

Manually
shears

Assisted
shears

Chainsaw/
armchainsaw


pre-pruner:hedge trimmer

pre-pruner:discs

pre-pruning topping


Season of pruning
January
February
March
April

May
June
July
August

September
October
November
December

Frequency of pruningCheck as many as apply
annual
biannual
biennial
Once per years

Mechanized Collection


Type of pruning treatment and model of machinerySpecify the method that prunings are treated based on the outcome product and manufacturer-model of each machinery (windrower,mulcher,chipper,baler) that is used if applicable

Windrower-Machines that allign biomass in a row



Windrower (manufacturer-model)


Mulcher-big pieces. Machines that break the branches in big pieces.
Normally they are an evolution from the typical muchers/cruchers utilised to leave
the branches on the soil in pieces.

Mulcher (manufacturer-model)


Shredder - Produce finer material (hammers or hammers with a knive.Do not produce a clear cut)



Shredder (manufacturer-model)


Chipper - Clean cut. Resembles the typical form of forest woodchips



Chipper (manufacturer-model) Caravaggi BIO 1250


Round bale

Baler (manufacturer-model)


Squared bale

Baler (manufacturer-model)


Processes SpecificationsSpecify the specifications of the processes (manpower,gross working time, productivity, fuel consumption)

Check as many as apply
Processes
Manpower
(Nr of persons)
Gross working time
(hr/ha)a
Productivity
(t/ha or t/hr)
Fuel consumption
(l/hr)

Manual Alignment

 2
 6
 
 

Windrowing

 
 
 
 

Integrated harvesting/treatment

 
 
 
 

Hauling

 
 
 
 

Treatment at field side

 
 
 9 t/h
 22

Disposal/dumping of biomass

 
 
 
 



End product propertiesSpecify the properties (moisture,bulk density,particle size,ash) of the prunings after treatment and harvesting, if known

Moisture (% a.r.)
 25
Particle size (cm)
 P100

Bulk density (kg/m3)
 203
Ash content (% dry basis)
 4.1


Losses of biomass after harvesting
(%)
 7
or (tonnes/ha)
 


Performance of the machinery

The machinery was performing better than expected

The machinery was performing normally-typical expected

The machinery was underperforming
Value Chains
Indicate if your experience is based on an isolated test or if it based on an existing value chain:

My experience is just an experimental trial-machinery test

My experience is part of an existing value chain
Contact Data
Name :
Michele Schiraldi

Email :

Profession :

Country :
Italy


References-External links:Provide references on which the information is based on or highlight any comments

Demonstrasion activity performed by DARE in the framework of uP_running project.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 691748