Category Archives: Precision Agriculture

BioRich Tractor for MicroFarm

The arrival of a BioRich sponsored tractor at the LandWISE MicroFarm will support precision farming research efforts.

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The John Deere high clearance cropping tractor is set to match the onion beds at the MicroFarm.

The John Deere cropping tractor has been set to a 183cm wheel track to fit the onion beds planted in early August. It’s first role is to act as a carrier of sensors that are used to map crop development.

We are delighted with the tractor. After much investigation into options for a sensor carrier, we finally landed on a high clearance cropping tractor as the ideal machine. Then, after searching wide and long, we discovered there was one sitting on our back door.

BioRich Principal, Mike Glazebrook is a LandWISE founding member and past Chairman. He said he was keen to support  the work being done at the MicroFarm as he sees it as of benefit to the community. There is obvious alignment with LandWISE objectives for sustainable production.

BioRich Limited is an organic waste recycling company. It’s main activity is capturing organic material that would otherwise be wasted, or cause pollution, and turning it into rich compost. Where it is practical to do so it also seeks to extract stock food and energy from organic material that would otherwise be wasted.

Every year, throughout New Zealand, many thousands of tonnes of organic “waste” is dumped into landfills or is inappropriately discharged to land. Once dumped much of this material breaks down in an uncontrolled manner and releases greenhouse gases into the atmosphere and pollutants into our waterways.

Meanwhile most of New Zealand’s cultivated soils have been steadily deteriorating. This is due to both to a decline in soil organic matter and a depletion of minerals and nutrients.

Hence BioRich’s mission is to divert organic matter (carbon) from ending up in places where it can do a lot of harm – in our atmosphere and water – and putting it somewhere it can do a lot of good – in our soils.

Free Fertiliser Spreader Test Tool Released

What is FertSpread?

FertSpread is a free-to-use on-line calculator and reporting tool to support on-farm calibration of fertiliser spreading equipment. It can be used on any internet connected device: computer, tablet or smartphone.

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Access FertSpread at www.fertspread.nz

FertSpread uses field test results to calculate fertiliser product Size Guide Number (SGN) and Uniformity Index (UI) ensuring that evenness of application is within the recommended ranges.

Other calculations include fertiliser flow rate, required spreader speed, and actual application rate (kg/ha).

Finally and most importantly the tool allows you to analyse your Broadcast spreader configuration and based on your test results allows you to optimise your bout widths and ensure that you’re laying consistent, cost effective fertiliser spread patterns where ever possible.

Why was FertSpread developed?

FertSpread is one output from the Sustainable Farming Fund “On-Farm Fertiliser Applicator Calibration” project. The project arose from repeated requests by farmers for a quick and simple way to check performance of fertiliser spreading by themselves or contractors.  They wanted to know that spreading was acceptable.

Fertiliser application calibration procedures suitable for farmers applying nutrients with their own equipment allow on-farm checks to ensure and demonstrate application equipment is performing to expectations.

A calibration check includes assessment and correcting of both application rate (kg/ha) and uniformity (CV). Farmers indicated that checking the paddock application rate is reasonably easy and commonly done. Very few reported completing any form of uniformity assessment.

Assessing Performance

Uniformity requires collection of samples from a spreading event and calculation of a uniformity value. It will involve either physical or theoretical over-lapping of adjacent swaths. Use of standard test trays is strongly advised, given the need for baffling to stop fertiliser bouncing out.

Weighing samples is complicated by the very small quantities involved – often a single prill in the outer containers. Scales weighing to 0.01g are required, but satisfactory options are readily available at reasonable price. If a larger sample is wanted, two or more runs at the chosen application rate should be made rather than applying some higher rate.

Analysing collected data

Analysing fertiliser spread data is a somewhat complex task. The effect of overlapping runs (either round and round or to and fro) needs to be taken into account, and then the statistics to describe how uniform application is must be made. And in most cases, calculations should consider a number of different bout widths.

FertSpread was developed to process collected field data and generate statistical reports automatically. This reduces potential errors and makes the whole process very quick and efficient.

Key outputs are measured application rate, the CV at the specified bout width and the bout width range at which CV is within accepted limits.

The results of the uniformity test are given as the bout width where the coefficient of variation (CV) does not exceed a specified level. The maximum accepted CV is 15% for nitrogenous fertilisers and 25% for low analysis fertilisers.

NOTE:   Different types of collection trays show varying levels of capture during testing. Some can lose a significant amount of fertiliser through “bounce-out”.  Experience suggests the uniformity calculations are reasonably accurate, but the application rate may be under-reported. Check the application rate by dividing the quantity of fertiliser discharged by the area covered.

This project was undertaken by LandWISE Inc with funding from the MPI Sustainable Farming Fund. It was co-funded and supported by the Foundation for Arable Research and the Fertiliser Association.

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Pioneering Precision

Aerial Imaging for Better Data Collection

Rural Delivery Series Eleven, Episode 24
Saturday 22 August 7am TVOne

The use of sensors of one kind or another is nothing new in agriculture, particularly in the hands of cropping farmers.  But a new imaging tool is currently being evaluated at Massey University.  It was originally designed for space exploration and military operations but is now being adapted for data collection, to help farmers make the best management decisions possible.

The sensor is flown over land, gathering images from more than 450 wavebands including visible, near, short and infra-red.  Maps of farms are developed, identifying pasture quality, nutrient content, potassium and sulphur levels, land surface temperatures, and areas of poor drainage as well as nutrient movements on slopes.

Professor Ian Yule of Precision Agriculture at Massey University says in the past, remote sensing has tended to focus on nitrogen use but the more sophisticated sensors allow the presence and concentration of other nutrients to be determined.

The technology is being used as part of Pioneering to Precision, a Primary Growth Partnership Programme (PGP) with particular interest in fertiliser application on hill country, but Professor Yule says it will also have significance for the dairy industry.

Onions Research – three year project

LandWISE has partnered with Onions New Zealand and Plant & Food Research in a three year project focused on understanding variability in onion crops. The project is funding by Onions NZ and the MPI Sustainable Farming Fund.

Dr Jane Adams, OnionsNZ Research and Innovation Manager, says the project, “Enhancing the profitability and value of New Zealand onions” is designed to provide the industry with tools to monitor and manage low yields and variability in onion yield and bulb quality.

It will incorporate precision agriculture with initial work to be done at the LandWISE MicroFarm. At the MicroFarm, we have been building increasing knowledge of the site, but will ramp that up with more layers of soil and crop information as we try to unpick factors contributing to lower yields and reduced quality.

Information about the 2014-2015 MicroFarm Onion crop can be found on the MicroFarm website.

The project proper starts on 1 July, but there has a lot of preparatory activity to ensure everything kicks of smoothly.

Anyone interested in joining a regional Focus Group supporting the project should
contact us>

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LandWISE 2015: The Farm of 2030

20-21 May 2015, Havelock North, NZ

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Looking for the next big thing in agriculture?

Maybe the next big thing is a small thing. Bigger equipment has given amazing work efficiencies and helped drive production and productivity.  Are there any downsides?

As we seek to achieve efficient crop production, we need to manage variability. What are the drivers, what tools can help us? How do we link technology and agronomy?

Leave LandWISE 2015 with new understanding of where technology has taken us, where current development is opening possibilities and which things may yet be some way off.

The theme “The Farm of 2030” comes from a prediction made in 1980 by John Matthews of the UK National Institute for Agricultural Engineering Describing a farm fifty years in the future, soil quality and alternative machinery featured strongly. Computers and robotics were becoming available but GPS, internet and wireless were not.

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Join us at our 13th Annual Conference, a meeting of technologists, farmers and their many support providers, where you can engage with leading researchers and practitioners.

Top presenters from Australia and New Zealand will update you on sensors, networks and robots, crop and field variability and what we can do to manage it. Dealing with troublesome weeds, identifying pest outbreaks, monitoring soil moisture and automating irrigation management. Can a robot do our scouting, our weed control, our mowing?

Ultimately, what will a farm look like in 2030? What do we need to be doing to make sure we are ready?

Register for LandWISE 2015 and be part of the “Design-a-Bot Challenge”!

More here>

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A message from BASF Crop Protection

LandWISE 2015 Platinum Sponsor  – BASF Crop Protection

Fenton Hazelwood - BASF Crop Protection
Fenton Hazelwood – BASF Crop Protection

I would like to firstly thank Dan and Debbie and the entire LandWISE team for the opportunity to be here. It seems we are all getting increasingly busy, even with these Smart Phones. However, for me this annual LandWISE conference is a must do on the calendar, and I don’t say this lightly.

LandWISE and its members are focused on a topic that is dear to me; “sustainability”. Not just sustainability, a word to be thrown around because it sounds good, but sustainability in the true sense of the word. They are active in the pursuit of sustainable farming and have built a solid track record of success.

So BASF Crop Protection is very proud to again be a key sponsor of the Annual LandWISE conference. The philosophy of LandWISE fits very well with BASF Crop Protection: providing real solutions in our primary industry that will enable us to sustainably produce more saleable yield per hectare.  Without the ability to sustainably produce more, we will struggle to feed a growing population.

Many in NZ feel we are insulated, but we are all part of the global stage. A few statistics resonate daily for me. I like this one, which helps engage non primary industry people:

We need to produce more food in the next 50 years, than has been produced in the last 10,000 years.

Give or take 10% either-way and this is a hell of task with available land for production reducing constantly.

It is well worth asking people you know, “What is the biggest job on earth?” There’s a video about it here>

BASF celebrates its 150th birthday this year; a HUGE milestone, and one that as a company we are incredibly proud of. May the next 150 years plus be as ground breaking. But I have some worries.

 

I am concerned in particular, that in the next 5 years or so our industry is going to see some very experienced individuals retire. Primary production in general is going to lose these individuals,  people with extensive knowledge and wisdom.

Yes, there are more being trained, however we will be losing a block of knowledge spanning four or more decades.  That “old knowledge” is extremely important as to go forward we really need to be a ware of the past. Imagine having no one with experience pre Glyphosate? And that is but one of many examples.

With a slow-down in new molecule introductions, chemical resistance management is becoming even more vital.  There are challenges a plenty, of which makes the journey all the more interesting.

A constant challenge of looking after the molecules we have in preventing resistance management is at a mode of action level, not an active ingredient level. We need that thinking to permeate the entire industry, developers, suppliers, users and all.  If we pay attention to detail, take care to understand how resistance develops and make sure our strategies do their best to prevent it,   the chemistry we have can continue to help our production systems for longer.

 

And to all delegates and contributors of this conference, thank you for your support and your support to LandWISE, it is HUGELY appreciated.

The Mechanical Farm of 2030

LandWISE 2015 Presenter, Dan Bloomer

 

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Dan is the Manager of LandWISE Inc, an independent consultant, and a member of the Precision Agriculture Association of New Zealand Executive.

In 1981, John Matthews of the UK National Institute for Agricultural Engineering described what a farm would look like in 2030; a fifty year horizon.

“The mechanical farm of 2030” identified four factors that would influence the farm of 2030; social factors including employment, preservation of the environment, animal welfare and primary energy sources.

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Soil quality and alternative machinery were high on their list. Computers and robotics were available but GPS, internet and wireless were not.

In 2015, with all the benefits of knowing what happened in the last 35 years, we revisited the question to ask, “What will a cropping farm look like in 2030?” Were John Matthew’s predictions of technology on-track? And importantly, what must farmers do to ready themselves for next year, five years and fifteen years down the track?

The general consensus was a resounding round of applause for John Matthews. The issues he identified continue to be key drivers today. The technological developments he envisioned are progressing towards the 2030 deadline with examples of commercially developed gantries now being tested on farms in Europe.

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The NIAE Gantry image from John Matthews paper
The ASALift Gantry tractor in 2013
The ASALift Gantry tractor in 2013

John Matthews article included a robotic harvester. We know the computing and actuation required for that is still tricky, but it seems quite probable robotic harvesting will be feasible and possible it will be relatively common by 2030.

The NIAE robotic harvester image from Matthews' paper
The NIAE robotic harvester image from Matthews’ paper

Perhaps his control tower windows are more likely to be computer monitors, and he didn’t know about smart phones, but his vision of the role computing would play is remarkably close – though perhaps thanks to Moore’s law and compounding development we have already got further than he estimated.

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The NIAE image of a farm computer appears to have a rack for storage disks, but also shows a microphone and aerial perhaps for wireless communications.

Maybe the design (how) is different to now, but much of the what of John Matthews’ predictions suggests he deserves a high score.

 

Agri-Intelligent Systems: robots, data, and decisions

LandWISE 2015 Presenter, Tristan Perez

Tristan Perez Professor of Robotics and Autonomous Systems,  Queensland University of Technology, QLD, Australia
Tristan Perez
Professor of Robotics and Autonomous Systems,
Queensland University of Technology, QLD, Australia

Since the 1960s, agriculture has seen significant advances in agrochemicals, crop and animal genetics, agricultural mechanisation and improved management practices. These technologies have been at the core of increased productivity and will continue to provide future incremental improvements. Data analytics, robotics, and autonomous systems are transforming industries such as mining, manufacturing, and health. We are starting to see automation of single agricultural processes such as animal and crop remote monitoring, robotic weed management, irrigation, nutrient decision support, etc. However, we envisage that the integration of these technologies together with a systems view of the farming enterprise and its place within the agri-food value chain will trigger the next wave of productive innovation in agriculture.

The challenge of the next agricultural revolution is to assist farming enterprises to make the management and business decisions that will optimise inputs such as labour, energy, water and agrochemicals and explicitly account for variability and uncertainty across the production system and along the agri-food value chain.

The opportunity for increased profitability, sustainability and competitiveness from finer-scale sensing and whole-farm decision-making and intervention requires farmers to have greater access to digital data and technologies to extract information from data. The agricultural landscape will rapidly change due to low-cost and portable ICT infrastructure.

Agri-intelligence is the integrated collection of tools and techniques – from robots, unmanned airborne vehicles (UAVs) and sensor networks to sophisticated mathematical models and algorithms – that can help farmers make sense of large amounts of data (agronomic, environmental and economic) to make risk-informed decisions and run their farms more profitably and sustainably.

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The figure below shows the ubiquitous emerging vision of a farm in the second machine age, where computer systems are used to augment human perception and capacity for decision making in complex situations.

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The farming enterprise is considered a system that interacts with the environment (through climate, markets, value chain, etc.) The key objective is to make sound decisions about management in order to optimise inputs, yield, quality, and at the same time make the system robust against yield and quality volatility due to climate, commodity market fluctuations, and incomplete information about the state of crop, soil, weeds and pests.

AgBot Design Challenge

Delegates at LandWISE 2015 formed small groups to specify a “robot” that would address some issue of relevance.

Development of any such machine should follow a systems engineering approach. Four critical features of systems engineering described by Marcel Bergerman are:

  1. Take a top down approach
    • Focus on the “what” not the “how”
  2. Formally define requirements
    • A thorough test plan can be developed before the product/system is
  3. Have a life cycle orientation
    • Consider all aspects from the cradle to the grave
  4. Inter-disciplinary in nature
    • Systems are too complex to do it all on your own

For this exercise, delegates were asked to concentrate on the first two; define what their dream machine had to achieve and describe the constraints under which it must operate.

It is important to take this approach to avoid limiting the possible solutions too early. Deciding your scout robot would be electrically powered three wheel drive eliminates aerial, two wheel or four wheel and wind or fuel powered machines. Sure, the answer may seem obvious, but the final form of many creative solutions that are optimal are not envisaged at first.

Some examples from the exercise include:

A root vegetable harvester that must have minimise soil compaction, remove soil from the produce, minimise mechanical crop damage, and work in a range of weather conditions

A bird scarer for seed crops that must keep birds off the crop, not damage the crop, and must stay within the boundaries of the crop or farm

A pea crop sampler that picks plants randomly through the crop, analyses samples on the go in the paddock and sends the resulting information back to the office. It must cope with the height of the crop and not damage it, and work in a wide range of weather conditions and cope with pugging and mud

An automated machine to remove weeds from vegetable crops grown on beds. It may also monitor plant population and variability, health and vigour, and pests and forecast yields. Working in a range of weather and soil conditions it must have high productivity (ha/hr)

Determine insect populations across field prior to planting of spring crops, including density, location and spread of identified species – include a lure for underground species

Harvest ripe mandarins after determining brix and colour levels and sort according to quality and size with rejects dumped and in-grade fruit transferred to bins for transport

An automatic pine tree pruner that removes every branch up to a height of 6m. Cuts must be clean with no damage to branch or trunk, and it must operate in difficult terrain

An apple harvester that harvests only export grade fruit such that no post-harvest grading is required. Must work 24/7 during harvest within current tree architectures

A fresh broccoli with automated cutting, picking and packing into bins. Will select/sort according to size and colour with no flowering heads.

Fertiliser Ballistics: must know facts

LandWISE 2015 Presenter, Miles Grafton

MilesGrafton
Miles Grafton NZ Centre for Precision Agriculture, Massey University Institute of Agriculture and Environment

crops and pastures since upgrading to spreaders capable of spreading at increased, bout or swath widths. This issue is more prevalent where fertilizer blends of products with dissimilar ballistic properties are sown simultaneously.

The problem is more obvious when applicators have purchased modern top of the range twin disc spreaders with the ability to spread at an acceptable spread pattern at tram lines at or greater than 30 m. These spreaders have increased tram or bout widths of spread from 20 – 24 m, to greater than 30 m thus reducing the number of tram lines, increasing output and reducing trafficking of the crop or pasture.

Spreading at a tram line of 30 m requires a total spread pattern to be around 45 m, allowing for a pattern overlap of around 50%, to achieve the desired accuracy (Chok et al., 2014). Given that the spreading discs are around 0.5 – 1.5 m above ground level, then fertilizer particles must be discharged at some considerable speed.

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Table 1: Distances typical fertiliser particles will travel when ejected at various speeds, in a horizontal plane from 1.5 metre height. (SSP is single superphosphate at 3 different sizes, KCl is potash, MAP is mono-ammonium phosphate, DAP di-ammonium phosphate). The distances are lateral from each disk; total spreading distance is twice that in Table 1.

In order to achieve an optimal even distribution, spreaders deliver 50% of the required amount of fertilizer on each side, which is overlapped with another 50% when the vehicle makes the next run in the opposite direction, or an adjacent run in a round and round spreading pattern. Therefore, the area closest to the border of the distribution area only receives half of the recommended rate as there is no pattern overlap and the desired fertilizer response, would then be reduced as if 50% of the desired rate on average has been applied.

Border spreading refers to the capacity to reduce the application distance on the side towards the border in order to minimize the amount of fertilizer applied outside the zone. Yield spreading compensates for the need to overlap by doubling the amount of fertilizer applied in the boundary side.

Product separation can be avoided by soil testing early, then addressing fertility issues by direct drilling or broadcast application prior to the crop establishing. Then use tram line application on crops for the one product intended to be side dressed during the crop life cycle.