Proving if a precision technology works starts with remembering trial basics – and taking the time to scrutinise results. Methods of generating value from farm data might differ based on adoption level, but there are some universal truths – namely the need to employ proper comparison trials and analysis techniques. Indeed, some experts in Ontario, Canada, see the failure of many growers and tech-advocates to conduct proper field trials of precision-ag technologies as a notable barrier to wider adoption. Take the time to learn “Are you actually going to analyse the data in a timely fashion? Make sure you take the time to learn,” says Dale Cowan, senior agronomist and sales manager with AGRIS and Wanstead Cooperatives – a grain marketing and farm-input supply company based in the province’s Southwest region. As an agronomist specialising in 4R nutrient management and precision-ag technologies (AGRIS and Wanstead Cooperatives operate a wide variety of precision data services for farm clients), Mr Cowan says the first hurdle any successful data-generator must jump is determining what they’re trying to do, what data needs to be collected to do it, and from where. Good agronomy should take top priority This, he says, applies universally – from the most entrenched analogue to the most tech-driven producers. Indeed, Mr Cowan emphasises good agronomy should always take top priority in any field crop management system. Data generated in this context will inherently have more value. It’s also important to get help interpreting data, if required, and to keep all raw data. This latter point is particularly important in preventing data loss as it is transferred through different formats and platforms. Record keeping crucial for any tech improvement Nicole Rabe, land resource specialist with Ontario’s provincial ministry of agriculture (Ontario Ministry of Agriculture, Food and Rural Affairs), shares Cowan’s view that ag-tech should be driven by agronomy rather than “shiny” pieces of equipment – many of which she says do not fundamentally fix basic agronomic issues, referring to them as “solutions searching for a problem.” Poor record keeping in the first place, by extension, means improvements brought by precision technologies cannot be accurately quantified or realised. “Before you jump in, ask yourself, what shape is my farm in? What are my basic issues and can I fix those first? Then what input do I find the most risky and has a need for better management?” says Ms Rabe. “You need to have a basic understanding of your bottom line.”
The global vertical farming market generated $ 2.23 billion in 2018, and is estimated to generate $ 12.77 billion by 2026, growing at a CAGR of 24.6% from 2019 to 2026. Optimum usage of vertical space & energy utilisation, ease in monitoring and harvesting of crops, and limited availability of arable land for carrying out traditional agriculture drive the growth of the global vertical farming market, according to a report by Allied Market Research. High investments However, high investments and technologies in development phase restrain the market growth. On the other hand, rise in urban population and surge in prominence of organic foods create new opportunities in the industry. On the basis of structure, the building based vertical farms segment held the largest market share in the global vertical farming market in 2018, contributing for nearly three-fifths of the total market share, and is estimated to maintain its dominance during the forecast period. Shortage of arable land This is attributed to surge in urban population, shortage of arable land, and increase in the adoption of techniques of novel food production. However, the shipping container based vertical farms segment is estimated to register the highest growth rate with a CAGR of 28.1% from 2019 to 2026, owing to reduced costs and time taken for construction in comparison to conventional agriculture. Hydroponics and aquaponics Based on growth mechanism, the hydroponics and aquaponics segment together constituted nearly three-fourths of the total share of the global vertical farming market in 2018, and is estimated to maintain its lead position during the forecast period. On the other hand, the aeroponics segment is projected to grow at the largest CAGR of 25.6% from 2019 to 2026, owing to lowered waste generation, reduction in labor cost, and less water requirement to produce fruits and vegetables. Based on regions, Asia-Pacific and North America together accounted for the dominant share in 2018, accounting for nearly three-fourths of the total market share of the global vertical farming market, and will continue its lead during the forecast period. Highest growth rate in Europe However, Europe is expected to grow at the highest growth rate, with a CAGR of 26.0% from 2019 to 2026, due to rise in the concerns related to availability of water in various regions, which presents vertical farming as a viable solution for its consumption of 90% less water as compared to traditional farming.
An impedance based microfluidic biosensor for simultaneous and rapid detection of Salmonella serotypes B and D in ready-to-eat (RTE) Turkey matrix has been presented. Detection of Salmonella at a concentration as low as 300 cells/ml with a total detection time of 1 hour has been achieved. The sensor has two sensing regions, with each formed from one inter-digitated electrode array (IDE array) consisting of 50 finger pairs. First, Salmonella antibody type B and D were prepared and delivered to the sensor to functionalize each sensing region without causing any cross contamination. Then the RTE Turkey samples spiked with Salmonella types B and D were introduced into the biosensor via the antigen inlet. The response signal resulted from the binding between Salmonella and its specific antibody demonstrated the sensor's ability to detect a single type of pathogen, and multiple pathogens simultaneously. In addition, the biosensor's selectivity was tested using non-specific binding of E. coli 0157 and E. coli DH5 Alpha while the IDE array was coated with the Salmonella antibody. The results also showed the sensor is capable to differentiate low concentration of live Salmonella cells from high concentration of dead Salmonella cells, and high concentration of E. coli cells. A detailed study on antibody immobilization that includes antibody concentration, antibody coating time (0.5-3 hours) and use of cross-linker has been performed. The study showed that Salmonella antibody to Salmonella antigen is not a factor of antibody concentration after electrodes were saturated with antibody, while the optimal coating time was found to be 1.5 hours, and the use of cross-linker has improved the signal response by 45-60%.
[学术文献] Electrical detection of pathogenic bacteria in food samples using information visualization methods with a sensor based on magnetic nanoparticles functionalized with antimicrobial peptides 进入全文
Outbreaks of foodbome diseases demand simple, rapid techniques for detecting pathogenic bacteria beyond the standard methods that are not applicable to routine analysis in the food industry and in the points of food consumption. In this work, we developed a sensitive, rapid and low-cost assay for detecting Escherichia colt (E.colt), Staphylococcus aureus (S. aureus) and Salmonella typhimurium (S. ryphi) in potable water and apple juice. The assay is based on electrical impedance spectroscopy measurements with screen-printed interdigitated electrodes coupled with magnetite nanoparticles functionalized with the antimicrobial peptide melittin (MLT). The data were analyzed with the information visualization methods Sammon's Mapping and Interactive Document Map to distinguish samples at two levels of contamination from food suitable for consumption. With this approach it has been possible to detect E. colt concentration down to 1 CFU mL-1 in potable water and 3.5 CFU mL-1 in apple juice without sample preparation, within only 25 min. This approach may serve as a low-cost, quick screening procedure to detect bacteria-related food poisoning, especially if the impedance data of several sensing units are combined.
丹麦公司Samson Agro引入了核磁共振技术来分析粪肥。在2019年农业技术博览会（Agritechnica）上，Samson Agro展示了其新型核磁共振（NMR）传感器系统的预览-与MRI扫描仪中使用的技术相同-用于精确实时测量天然肥料中的养分。 NPK传感器 NPK传感器（氮，磷和钾）可通过集成在Samson PG II浆料罐车中的移动系统获得，该系统可取出代表性的浆料样品进行实时分析。根据Samson的说法，新的NPK传感器单元可以在实验室以外的条件下以前所未有的精度分析天然肥料的含量。这将使精耕细作在天然肥料分配领域提高到一个新的水平上，包括为精确记录、作物优化的变量分配和天然肥料贸易提供新的可能性。Samson Agro A / S的销售主管Torben Larsen表示，“今天，通过施用动物粪便向田间输送的氮磷钾养分的数量主要是根据有关动物和房屋类型的一般信息的标准值确定的，而没有对潜在肥料价值或环境影响的准确了解。我们很荣幸能展示这种新型的精密传感器，以替代现有的测量系统。” 在原子水平上进行测量 Samson与丹麦公司NanoNord合作开发了这项技术。 “采用1-70 MHz多频磁共振技术，该传感器技术能够可靠地在原子水平上测量物质的浓度–测量的准确性和可靠性优于其他在线测量技术，并与繁琐的实验室测量兼容，”NanoNord A / S首席执行官Ole Jensen说。Samson认为，随着NPK传感器的推出，现在有可能规划和优化天然肥料的使用，并充分利用智能农业应用与泥浆应用的全部潜力。 直接测量所有类型天然肥料中的NPK Torben Larsen表示，“以前天然肥料营养价值监测方面的研究主要依赖于电导率或近红外光谱测量的方法。与这些技术相反，我们的新型NPK传感器单元可以直接测量Samson浆料罐车分配的所有类型的天然肥料中的NPK，而无需使用天然肥料数据库进行传感器校正和用户校准。”