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Industry · Agriculture & Agribusiness

GPS monitoring for agriculture and agribusiness

Wheat in the Kura-Aras lowland, cotton in Sabirabad and Beylagan, hazelnuts in Sheki and Zagatala, vineyards in Shamkir. In season dozens of machines are out in the fields, and every day of downtime or spare litre of diesel shows up in the cost of the crop.

GPS.az fits trackers and fuel level sensors to tractors, combines, sprayers and grain lorries, and helps you see how many hectares have actually been worked.

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5
Sectors
8 regions
Coverage in AZ
40 000+
Assets under monitoring
Since 2008
On the market
A patchwork of fields and irrigation channels from above, with a tractor working one of them
Context

You cannot see the field from the office

An agronomist can drive round several plots in a day. A farm of 2,000-3,000 hectares he will never cover. Hence the perennial questions: how much has really been ploughed, why is one driver's consumption per hectare half again as high as his neighbour's, where did the grain lorry go between the field and the elevator.

GPS monitoring in agriculture answers those questions with figures. A tracker on a tractor knows the working width of the implement and calculates the area worked from the track. A sensor in the tank shows refuelling and drains. Field geofences tie all of it to a particular plot and crop.

The distinctive thing about the industry is its seasonality. Machinery can stand under a canopy for a month and then work round the clock for three weeks. The system needs to be started early, so that by sowing or harvest it is already configured and tested.

Where agribusiness loses money

Diesel in season

During harvest machines are fuelled in the field from barrels and bowsers, and the record is kept on paper. This is where the discrepancies are largest. The losses we see before fuel level sensors are fitted are usually 10-20% of the season's fuel.

Hectares counted twice

The operator writes down the whole plot, while the track shows 80% worked. Or the field was gone over twice, because nobody could see where the previous implement had finished.

Harvest lost on the way to the store

A grain lorry is loaded at the combine, and reaches the elevator weighbridge three hours later instead of forty minutes, and lighter than it should be. Without a track and body monitoring nothing can be proved.

Machinery working someone else's land

The tractor works for the farm by day and ploughs the neighbour's plot in the evening. The engine hours and the fuel are yours, the money is the operator's.

Breakdowns at the height of harvest

A combine stops in mid-June and the spare part takes two days to come from Baku. Planned servicing by engine hours reduces the chance of that breakdown, but only if someone is counting the hours.

No figures to decide on

Which field is the most expensive to work, which tractor is better written off, what a hectare of wheat actually costs. Without data these are decided on instinct.

A grain lorry raising dust on a straight field track between harvested wheat fields

The seasonal calendar and monitoring

Every crop in Azerbaijan puts its peak load on machinery at a different time. We plan the roll-out around it.

  • Autumn - sowing winter crops. Wheat and barley are sown mainly in October and November. This is the time to check the trackers, recalibrate tanks after summer repairs and update the field geofences.
  • Spring - spring crops, cotton, vegetables. The busiest period for tractors and seed drills. Reports on area worked and consumption per hectare matter most here.
  • June and July - grain harvest. Combines and grain lorries work almost round the clock. What matters is the chain of combine to grain lorry to threshing floor or elevator, and fuel control in the field.
  • August and September - hazelnuts. In the Sheki-Zagatala zone the load falls mainly on haulage and drying, less on field machinery.
  • September to November - cotton. Cotton pickers and haulage of raw cotton to the mills of the Central Aran region.

The best time to start is a month to six weeks before your main season. Fitting during harvest is possible, but the operators have no time to spare, and the first data goes on getting used to the system.

A fruit store beside an apple orchard in the foothills of Guba, with crates and a lorry at the loading bay

From field to processing: five directions

Farms differ enormously, so the solutions are split by type of business.

If you have fields and machinery, start with the crop farming section. It covers accounting for hectares, implements and work on plots.

Livestock farms, poultry houses and pastures live by other rules: what counts there is feed, the indoor climate and moving stock to summer pastures in the mountains. That is covered in the section on livestock and poultry.

Large companies with several farms in different districts need an overall picture and a way to compare their units. We handle that on the page for agricultural holdings.

The harvest still has to be carried: grain lorries, articulated lorries taking fruit for export to Russia, haulage of raw cotton. See agri-logistics.

And the last link is elevators, fruit cold stores and processing plants. Those are covered in processing and storage.

What works on farm machinery

Tracker and field geofences

Every field is entered into the system as an outline. The report shows which machines worked on each plot and for how long. The outlines can be drawn on the map or uploaded from a file.

Accounting for area worked

The implement width plus the track, and the system calculates hectares, overlaps and skipped strips. This uses the Wialon Hecterra module, built specifically for agriculture.

Fuel level sensor

On tractors it is often awkward to run a cable to the tank. A wireless fuel level sensor helps here, sending its data to the tracker over Bluetooth: we select the model to suit the tank and the tracker during fuel level sensor fitting.

Identifying the mounted implement

A tag on the plough, seed drill or sprayer tells the tracker what exactly is hitched on. Without it the system does not know the working width and confuses one type of work with another.

Identifying the operator

A driver card or fob. When one tractor passes through two or three operators in a day, piece-rate pay cannot be worked out fairly without identification.

Sensors in stores and cold rooms

Temperature and humidity in fruit cold stores and grain stores. If the temperature rises in an apple store near Guba, the notification arrives during the night rather than in the morning.

Wooden bins of red apples in rows inside a cold storage chamber

What a harvest day looks like in the reports

Picture a farm near Beylagan: four combines, six grain lorries, a fuel bowser. June, heat approaching forty degrees, work from first light until dark.

In the morning the agronomist opens his phone and sees which fields were harvested yesterday and how many hectares are left. One of the combines stood idle for three hours in the middle of the day. The history shows the engine was running while the combine was not moving: that is what a breakdown or a wait for a grain lorry looks like. A call to the mechanic, and it turns out they were waiting for a lorry that had gone to the threshing floor by a different route.

The bowser issued 900 litres during the day. The refuelling recorded by the sensors in the tanks of the combines and lorries adds up to 840. The 60-litre difference is not necessarily theft: machines without a fuel level sensor may have been filled. But now the question can be put to a particular person about a particular refuelling.

In the evening a summary arrives: area harvested, fuel used, how many runs each grain lorry made. Previously this was gathered from bits of paper by the end of the week. There is more on how agricultural monitoring works in the system on the page about monitoring field operations.

A tipper of raw cotton on the weighbridge at a cotton mill, with cotton stacks behind it

Field, road, store: three processes with different reports

On a farm, monitoring almost always touches three different processes. It helps to separate them from the start: each has its own data, its own owner and its own question.

  • Field operations. Tractors, seed drills, sprayers, combines. The question: how many hectares, under which operation and at what consumption per hectare. The owner is the agronomist and the chief engineer. The data: track, implement width, working position sensor, fuel level sensor.
  • Harvest haulage. Grain lorries, tippers carrying cotton, hired vehicles. The question: did everything loaded in the field reach the weighbridge, and where did the vehicles stop. The owner is the logistician or the manager of the threshing floor. The data: track, body lift, weighing log.
  • Storage. Stores, cold rooms, dryers. The question: are the storage conditions holding and how much fuel went on drying. The owner is the store manager. The data: temperature and humidity sensors, fuel level sensors on static tanks.

There is no need to start with all three at once. Usually a farm takes the process that raises the most questions right now and adds the others by the next season.

An endless cotton field at sunrise, with a cotton picker standing at the far edge

Criteria for a seasonal pilot

A seasonal pilot tests the system on one process and part of the fleet in real work, during sowing or harvest. So that the results make it clear whether to extend the system or not, we agree the criteria before fitting:

  • the area of the control field according to the system is reconciled with the paperwork, and any discrepancy is explained;
  • fuel issued from the bowser is visible in the tanks of the machines, and the difference is accounted for;
  • the number of grain lorry runs on the track matches the weighbridge log;
  • notifications about drains and work outside the fields reach a named person, and each one is looked into.

From the farm we need the field outlines, a list of machines and implements, the fuel issue record and the weighbridge log for the pilot period. Without them there is nothing to reconcile the system against.

Roll-out a month before the season

Below is how it looks on a mid-sized farm: 20-40 machines, several plots in one district.

Four steps

Week 1. Inventory of machines and fields

We draw up a list of machines and mounted implements and collect the field outlines. If there are no outlines, we help draw them. The terms of the service are on the page GPS monitoring of farm machinery.

Week 2. Fitting at the depot

A crew comes out to the farm and installs the equipment right there in the machinery yard. In a day we usually connect 4-6 tractors with fuel level sensors.

Week 3. Calibration and checks

We calibrate the tanks, check the implement tags and make a trial run. Consumption norms per hectare are set by type of work.

Week 4. Training the agronomist

We walk through the reports on fields, fuel and operators using your own machines. The agronomist usually finds it easiest to look at the data on a phone, out in the field.

Questions from farmers and agronomists

It will. If there is no network, the tracker stores the data in memory and sends it as soon as the machine is back in coverage. For counting hectares and fuel this is not a problem: the report is built on complete data, just a few hours later.
That depends on the implement width being entered correctly and on how often points are recorded. Set up properly, the margin of error is small and quite adequate for recording work and paying operators. Precision farming tasks that need centimetre accuracy call for different systems, and we will say so honestly.
Those terms are a matter for the contract. The tracker can stay on the machine and work as security: if the tractor is moved during the winter, a notification comes through. For many farms that matters most precisely in the off-season.
Yes. On machines like these we fit a tracker powered from the vehicle's electrics, a fuel level sensor in the tank and an engine running sensor. They have no CAN bus, so engine data will be limited, but the main things - area, fuel and engine hours - are still counted.
You can fit a temporary self-powered tracker to it, or ask the contractor for access to his own monitoring system. That way you see how many hectares were actually harvested before you pay for the work.
Yes, there are GPS collars with their own battery for that. They come online to a schedule so the battery lasts longer. Bear in mind that on high yaylaqs there is no coverage everywhere, so points will arrive in batches. There is more in the section on animal tracking.
The grain lorry's track shows whether it called in anywhere on the way and how long it spent in transit. Combined with weighing in the field and at the elevator, this closes off the main way harvest is lost in transport.
You can do it now, but it is better to start with one process. At the height of the work the operators have no time to spare, and the first data goes on getting used to the system, so for a whole farm the best start is a month to six weeks before the main season. Right now it makes sense to take whatever raises the most questions, fuel in the field for example, and add the rest by the next season.
Request

GPS monitoring for “Agriculture & Agribusiness”

Send us an enquiry and we will prepare a quote for your fleet and pick the hardware that suits this industry.

  1. 1
    We pin down the task

    A specialist calls back and asks about the vehicles, how many there are and what you need to keep an eye on.

  2. 2
    We put a solution together

    We propose the hardware and the features, and set out the one-off and the monthly cost separately.

  3. 3
    We agree the fitting

    At your yard or at ours, on a schedule that keeps the vehicles working.

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