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Examination of fatty acid and sterol compositions are the most common analytical methods used to identify adulterated products. (Image source: Adobe Stock)

Agriculture

As the olive oil industry continues to face unprecedented challenges, there has been a gradual increase in fraudulent activities involving the sale of counterfeit mixtures that closely resemble authentic olive oil

The Mediterranean region responsible for the majority of the world's extra-virgin olive oil production has been hit by a severe drought, resulting in significant reductions in output from countries like Spain, Tunisia, Greece and Italy. This scenario has led to a dramatic surge in prices, in turn attracting counterfeiters who are exploiting the situation by introducing fake products into the market. With more than 260,000 litres of fake olive oil seized in Italy and Spain, Europol's recent investigations have shed light on the alarming prevalence of counterfeit olive oil within the market. 

Fraudulant schemes like these involve the substitution of high-quality olive oil with cheaper, inferior seed oils that are manipulated with additives like chlorophyll and carotenoids to mimic the appearance of authentic olive oil, thus deceiving the unsuspecting consumer. Mixing olive oil with lower-quality lampante oil is another method used to dilute the purity of olive oil while reducing costs. This not only compromises the quality but also misleads consumers about the product they are purchasing. Extra-virgin olive oil, a popular staple in culinary traditions has therefore, come under scrutiny wordwide, urging consumers and restauranteurs alike to exercise caution and vigilance.  

The presence of polyphenols are responsible for olive oil's unique flavour profiles, ranging from sweet to bitter or zesty. These compounds not only contribute to the oil's taste but also offer numerous health benefits. Characteristics like taste and aroma that are distinctive to authentic olive oil cannot be replicated by seed oils. However, distinguishing genuine olive oil from fraudulent mixtures can be challenging. Examination of fatty acid and sterol compositions are the most common analytical methods used to identify adulterated products. 

Moreover, since certain countries do allow the sale of blended oils, it is extremely important for consumers to carefully examine product labels for harvest dates, locations and certification seals from reputable third-party organisations, prior to selecting extra-virgin olive oil. Advances in technology, such as blockchain systems for traceability, offer promising solutions for enhancing transparency in the olive oil supply chain. However, the effectiveness of these tools is contingent upon consumer awareness and engagement. 

 

The researchers built a reaction chamber and devised a method that simulates and greatly accelerates methane's natural degradation process. (Image source: Michael Skov Jensen, SCIENCE/KU)

Cattle

A recent study led by the University of Copenhagen (UCPH) atmospheric chemistry professor, Matthew Stanley Johnson brought to the spotlight, a new method devised by researchers to eradicate low-concentration methane from air

A new Methane Eradication Photochemical System (MEPS) reaction chamber, comprising an elongated metal box with heaps of hoses and measuring instruments, was built. Using chlorine and energy from light, researchers were successful in removing methane from air at a greater speed and efficiency compared to its natural decomposition rate in the atmosphere. Inside the box, a chain reaction of chemical compounds takes place, which breaks down the methane and removes a large portion of the gas from air.

"Methane decomposes at a snail's pace because the gas isn’t especially happy about reacting with other things in the atmosphere," explained Johnson. "However, we have discovered that, with the help of light and chlorine, we can trigger a reaction and break down the methane roughly 100 million times faster than in nature."

The Intergovernmental Panel on Climate Change (IPCC) has determined that reducing methane gas emissions—which are considered to be 85 times more potent of a greenhouse gas than CO2—will immediately reduce the rise in global temperatures. 

With the development of their new MEPS reaction chamber, the researchers plan to connect the device to the ventilation system in a livestock barn, where it will behave as a methane cleaner. A 40 ft shipping container will soon arrive at the Department of Chemistry and will become a larger prototype of the reaction chamber that the researchers built in the laboratory. The UCPH spin-out company Ambient Carbon, started and now headed by Johnson is currently developing the MEPS technology and plans to make it available to society in the near future. 

For more information, visit: https://science.ku.dk/

Monarch MK-V tractor demonstrating V2G through Borg Warner DCFC and Gridtractor CMS. (Image source: Gridtractor)

Equipment

Gridtractor, Monarch Tractor, and Borg Warner have achieved a significant milestone by successfully demonstrating Vehicle-to-Grid (V2G) capabilities utilising a Monarch MK-V tractor, a Borg Warner 60 kW DC fast charger, and Gridtractor’s cloud-based charge management system employing the Open Charge Point Protocol (OCPP) 

Robot crowd-puller at the DLG Field Days 2022 at the Kirschgartshausen trial farm in Mannheim. (Image source: DLG)

Machinery & Equipment

The FarmRobotix platform celebrates premiere at the DLG Feldtage 2024, which will take place from 11-13 June at the estate Brockhof in Germany

Aimed at farmers, manufacturers, start-ups and technology providers, FarmRobotix offers an international platform farmers and experts seeking compact and comprehensive information on the latest developments in robotics, AI, automation and digital solutions in crop production. Moreover, besides the option to explore innovative technologies, the platform also offers networking and knowledge sharing opportunities to representatives from science and research as well as development engineers, investors and venture capitalists. 

With a focus on farming requirements for digital technologies, FarmRobotix plays a role in solving the challenges that lie in the application of digital and autonomous technologies in crop farming. For instance, although a plethora of digital solutions are available to farmers for performing crop cultivation tasks, each digital solution provider supplies a customised software system to use the digital tools and data. Therefore, their application requires prior knowledge on part of the user. 

This is where the FarmRobotix system comes into picture. Florian Schiller, an expert in digitalisation at the International DLG Crop Production Centre (IPZ) in Bernburg, Saxony-Anhalt, explained that the FarmRobotix platform could play a role in providing impetus in the dialogue between farmers, manufacturers and science in order to make the digital applications of different manufacturers compatible with each other. 

Schiller further explained the complexity faced by robots in crop cultivation, since the difficulty level of the tasks to be performed by agricultural robots was comparatively greater than the tasks involved in industrial production. 

DLG’s IPZ farm is part of several research projects on digitalisation and AI in crop production, including the NaLamKI project funded by Germany’s Federal Ministry of Economic Affairs. NaLamKI which stands for ‘Sustainable Agriculture with AI,’ is aimed at developing AI services for agriculture, capable of analysing data from conventional and autonomous agricultural machinery, satellites and drones, combining them in a software service platform and make the results accessible through open interfaces. 

As an associated partner in the project, the IPZ is working on the early detection of fungal diseases in wheat using AI. The aim of AI-supported detection of fungal diseases, which is being researched in the NaLamKI project, is to use multi- and hyperspectral image analysis to establish when a fungal infection has taken place in a crop. Apart from fungal pathogens however, the spectral properties of the leaf surface are influenced by a variety of external factors such as drought or plant nutrition. 

"It is therefore always crucial for AI systems that the data delivers accurate information about the properties to be recognised,” said Schiller. “Otherwise, AI models do not reflect what they are supposed to provide information about.”

For more information, visit: https://dlg-feldtage.de/en/