"In the near future, the combination of intelligent technology, traditional technology and new technology will bring about a new mode of production." "In the previous period, in the" 2017 Arab Forum-Thinking Lighting forum, "The horticultural lighting session, the Chairman of the Japanese Plant Research Institute in ancient Mapletree Professor expressed his own vision for the future of plant plants. He gave a wonderful speech on the theme of "plant intelligence LED lighting and environmental control". The following is a speech compiled by the editors of the ancient Professor Mapletree.
Resource and efficiency issues and cost control issues
Today, Japan has more than 200 enterprises with plant interior lighting systems, and the number of plant plants is increasing every year, and this kind of plant plants in China, the United States, Europe are also booming stage.
In theory, artificial lighting can use the smallest amount of resources to achieve the highest yield and quality of plants, thereby reducing costs and reducing pollutant emissions. But in fact, few plant plants are actually making sustainable profits at the moment, and why? It is that the yield and product quality is far lower than the theoretical potential, because of the low supply capacity and lower utilization, resulting in higher production costs.
In terms of operation, plant plants require a higher level of skill, more complex operations, a software configuration, and a high cost of production per unit area, while sustainable production is not yet realized, meaning further research is needed. But in terms of technical potential, plant plants have a promising business.
The process involves many sophisticated intelligent technologies, including artificial intelligence, ICT, robotics and so on. From another perspective, there is a need to combine traditional botanical and agricultural knowledge, especially biological indicators, and even some genetic knowledge.
How to overcome the complexity of environmental control
Based on artificial intelligence management system, connected with sensors, sensors can understand the surrounding production environment, and will be transferred to large data database, including plant growth phenotype analysis, environmental analysis and other aspects of data. The control of components, cloud computing, robot technology is an indispensable part of the AI core Management system in all aspects of intelligent settings can achieve the desired goal, but the difficulty is the plant growth factors are very complex.
What role does light play in the process of plant growth? First, from the energy point of view, can promote photosynthesis, radiant heat; Secondly, from the point of view of information sources, we can know the metabolic condition of plant growth and the manifestation of light form in this process.
In the light environment of plant growth, it is necessary to consider PPFD luminous flux light density, light direction and light cycle. Among them, the direction of light, light from the top down or from the bottom to illuminate, is still a pan-light, these variables are based on the dynamic change in time, and the most frustrating is that variables in the above variable will be affected by other variables. The temperature of leaves, the concentration of carbon dioxide or humidity, the composition of other fertilizers, plant filling and so on will be affected by the light environment. There are also some conduction, such as the transmission of bacteria, disease infection will cause the impact. The light environment is related to the common growth cycle of plants.
"Unit price x sum of the value as large as possible, this is what we want to achieve an ideal goal", LED technology to achieve from electric energy to light energy conversion, will play a great role. And what we do is not only to complete the conversion of light to electricity, the growth of the whole plant later to be considered.
What are some of the factors involved in growing vegetables to consider economic value? First of all, look at the weight, size, shape, color, texture, but also to see the composition of nutrients, vitamin C, antioxidant, etc., we want to minimize the physiological causes of plant adverse conditions, such as lack of trace elements caused by the surface of the plant white or black spots. At the same time, the taste and taste of vegetables have a great impact on his economic value. In addition, shelf life is also an impact factor. The above factors are closely related to the surrounding production, environment and plant species. So when it comes to finding a solution, there's no need for experience, but a bold imagination and a vision, because the system is too complex.
To achieve the best PPFD solution, the best optical solution requires a large amount of measurement, accurate calculation, large data, artificial intelligence and so on. The light environment provides an excellent environment for such things as high speed microprocessors with large memory, large data artificial intelligence, Open data platform networking, or omics of DNA testing functions.
White LED now contains more and more green light, before someone suggested that green light is not needed for plant growth. But the photosynthesis of dense plant irrigation, if green light is not considered, may be compromised in this part. It is also found that green light is useful in the study of photosynthesis in leaves of a single leaf plant, and denser plant irrigation and photosynthesis will be more intensive. The scientists point out that green light has improved resistance to plants, and some studies have shown that green light has a change in plant irrigation, but this part of the knowledge is very small.
Dual Plant System
First LED intelligent lighting system, based on the table-type environment, basic modules, hardware and software, but also a two-mode model, that is, a part of the existence of plant plants, and another part of the virtual plant factory, because it will be a large number of use of virtual digital technology.
In the process of environmental control surface analysis, phenotypic analysis is very important, including the specificity of the plant itself, the characteristics of water, nitrogen, chlorophyll compounds, plant expression analysis, and so on, we need to combine the two aspects of genetic and environmental information. What is the definition of plant phenotype? We measure the specificity of plants, such as the characteristics of plant cell level, the characteristics of irrigation layer and related functions through some methods and schemes.
Plant phenotypic Image Sensing equipment includes general camera, spectral radiation measurement, far infrared, fluorescence 3D scanning, three-color sensor and so on. LED color camera can understand the plant's three-dimensional data, and input to the computer, integration of other common data and surrounding environment data.
This technique can be used to develop special plant varieties suitable for internal closed plant plants, which can be specially fortified to produce the component content of crops, such as custom-made C plants with particularly high content, which can produce disease-resistant plants. The resulting plant has little pressure on the perimeter because it is a relatively closed environment without the use of pesticides or anything like that.
Compared with the traditional production mode, this module has high scalability. As we all know, there is a gap between research and application, laboratory volume is small, there is no way to scale, so in a large environment is often not feasible, the same small volume production and commercial production between the gap.
In such an environment, we produce the basic module with the above characteristics, one is scalable, one is adaptable. The current use of this plant production system involves a variety of changes, plant characteristics, the surrounding environment, the plant's own genetic information management details, etc., so to really bring more varieties to plant plants to improve the environmental control plan. Because now breeding and commercialization development are separate, next breeding and commercialization development are common.
What we actually have to do is data integration, every second, every bit of data, genomics data and management data, and implanted into a machine learning system, through artificial intelligence based on the above-mentioned deep learning, to provide more information, this information can be controlled by the breeding environment.
Dual plant plants, on the one hand, are the plant plants of the entity, on the one hand is the virtual plant factory, namely the digitized management system. So there is a connection between the virtual world and the real world, and a lot of information travels from the inductive device to the world. Based on all the processed data, a virtual system can calculate and predict the future, such as future production, environmental variables, and possible costs. And we can do a comparison, the virtual device for the future of the forecast data is accurate. If there is a problem, some algorithms in the virtual computing can be adjusted in time.
"We have a good vision: in the near future, the combination of intelligent technology, traditional technology and new technology brings new production mode." "The real realization of dual plant growth system requires a complete set of software configuration, and the data also needs an open platform for data exchange, a plant factory needs a distributed, ubiquitous network."
and plant-plant systems can be combined with other biological systems, such as fishing grounds, planting mushrooms and so on, to provide fresh food for the city. I am not describing a beautiful dream, it has now become a reality.