Applied Engine on Nature - AEON into our practice

With AEON into our practice: •Machine-driven powerfulness helps to achieve accuracy in data cleansing •First of its kind to produce the right sizing in the Machine learning dataset and improves accuracy in prediction •Brings the right balance between over fitting and under fitting in terms of quality in data sizing of Machine learning models •Human intervention is eliminated with appropriate solutioning - AEON brings high productivity with delivery efficiency improved by 40%. - The KPIs measure the effectiveness of API in creating a large dataset. Indicators are - 96% accuracy in AI prediction, -The data preparation is fully automated. - From the customer perspective, cost savings in the cloud billing is - 35 % in the design stage - and further 20 % in cyclic Bigquery execution in data analysis - and iterations of the training dataset for Machine Learning models. The algorithm brings a high-quality deliverable to the data pipeline. The regress functional, non-functional quality assessment has been proven in any big data engineering conditions. - AEON workflow is completely scheduled. - AEON sets right to tune in Machine Learning needs. The AEON aims to reduce the impact of the risk (weather, biological, price) faced by rainfed area farmers. The Nature Labs will facilitate the training of local resource persons/rural extension workers in utilising the tools for deployment with rainfed farmers. Nature Labs is also expected to develop a policy brief and recommendations at the end of the assignment. Concept/Product/Technology Overview - Highlight the uniqueness of the product or service or technology First, it should be a platform which takes sincerity and authenticity as priority and covers many fields, such as: IOT(internet of things), traditional industrial control technology, automation, could platform, big data processing, electronic commerce, social networking, ERP, business intelligence, electronic clearing and other technologies, it also include B2C、B2B、O2O and other business model electronic platforms. Second, this platform shall be operated like an enterprise. It is a platform that integrates all interests of every party. To operate this platform in business manner is so important that it can ensure healthy development of the platform, because no enterprise can invest all the time without profit. Different types of enterprises will join in the industrial chain, such as planting, breeding, processing, agricultural logistics, warehousing, agriculture insurance, retailers and consumers, to form a good and standard industry format. Government, as a regulator, can provide administration, supervision and other services to the platform. The government can also grasp the industry situation and give macro guidance by leveraging business intelligence technologies. The platform can be divided into four layers. The first layer is Basic IOT (Internet of Things) Application Platform. This is a platform aims to integrate enterprises ERP application, peasants or agriculture enterprises planting or breeding applications to the basic IOT Application Platform by leveraging standard IOT interfaces. It is designed to solve the following problems: first, planting and farming enterprises can upload and share land information, planting and breeding process information, planting and breeding planned picking data and actual picking data, safety monitoring data in a way of automatic or semi-automatic collection to the platform by leveraging their own assets or the management system we provided through IOT interfaces. Enterprises can not only manage operation by leveraging their own assents or ERP system we provided, but also upload and share any information to the platform through IOT Interfaces. For example: production plan and spare production capacity in manufacturing enterprises, transportation plan and available positions in logistics enterprises, storage condition and information in warehousing enterprises, etc. Community management can also be realized in this layer, which can contribute to promote peasants or merchants personalized brand products and services, at the same time, it can also provide a good chance for enterprises to communicate with relevant enterprises. The second layer is Public Service Platform. It can provide enterprises and customers (retailer, foreign merchant and consumer can be regarded as platform demander) financial service (including financial settlement, small loans, agricultural insurance, futures quotes and other services), expert service (custom planting and breeding technologies according to local soil and climatic conditions), expert technical instruction service (experts provide technical support to peasants and agriculture enterprises through telephone, network, SMS, video, etc.), agricultural assets service (pesticides, fertilizers, seeds manufacturers certification, sales, farm machinery lease service), agriculture technology and labor service, professional agro meteorological service, etc. This layer aims to insure peasants and agriculture enterprises can better develop agricultural production and take advantages of one stop procurement service. The relevant government departments can also make a transparency protection mode for peasants. The third layer is cloud transaction center. (Retailer, foreign merchant and consumer can be regarded as platform demander). Retailer, foreign merchant and consumer can purchase products and services. Accordingly to the sharing information provided by service provider in this platform, the system can automatically select service provider for platform supplier (peasant or peasant entrepreneur). Considering credit ranking generated in the platform, platform demander and supplier have mutual choice and find a satisfied way to fulfill orders. An order will be divided into several suborders and distributed to relevant company system for further processing. The result can be reflected in the platform system when the order is finished, and customers can give their comments and ratings for each service they received during the whole process. This layer aims to handle large volume orders by leveraging IBM automatic matching and optimization supply chain solution, which can seamless support large volume transaction. Retailer can make clear supply chain plan according to annual sales target and provide purchasing order information to the peasants or agriculture factory. In this case, retailer do not need to kicked around to organize their supply chain, at the same time, peasants or agriculture factories can arrange production accordingly to actual orders, which can highly reduce their sales risks. The fourth layer is monitoring and decision making platform. It can provide government regulators and platform operators visible data analysis, which can help peasants and enterprises manage their planting, breeding and production by making decisions based on aforementioned visible data. For example: If the platform system finds some vegetable cultivation is far greater than the market demand history, experts will give relative peasants risk warning through expert platform to make a flexible arrangement, which can greatly reduce agricultural products overstock we often read in the media. This layer also provides a public quality traceability platform, which can provide all the node data and reports to the customers from planting to end customers. All you need to do is swipe the two trace code to get product information. The whole platform is open to any third party developers. It provides business development opportunities to all parties who can contribute to the platform, making the platform healthy and energetic while bringing users much more convenient. - Indicate current level of preparedness Partial content of our solutions have been validated and applied up till now. For instance, the agricultural planting system, food processing system, logistics transportation system and the terminal e-commerce platform we developed for ACE Group have accomplished integration, communication of data chains and the sharing of information. The online inventory transaction on this platform has been achieved, and we are being engaged in further discussion on the business implementation pattern of agricultural order transactions. What is more, the food delivered by this platform can be traced swiftly for its safety including information of seeds and the producing and processing control information. - Is this patentable We believe both of the platform architecture and business model can be patent. Moreover, the tracing process and the quality control points we designed for the insurance of food quality according to food categories can also be our patent. Our Understanding of the Problem The recent drought has resulted in heavy losses for farmers and food production has declined. Despite the many challenges imposed in a natural disaster, the unpredictability of pricing, the farmers are feeding the food for every one of us. To solve problems at their level, we must understand the depreciation of a key resource that could technically solve all the problems. The global population is headed toward 9 billion by 2050. To ensure that agriculture can meet future demands, the world will have to: · Reduce the million metric ton loss of crops to pests, disease, and inferior storage methods · Make better use of the crops already grown while using other inputs like water sparingly · Increase yields on existing lands Water is one of our most essential resources, yet much of the water we use every day is “hidden” as an indirect, yet critical, component of something else food, health, energy, transportation and more. And of all the water on Earth, only 1 percent of it is useable by ecosystems and humans. As the world’s population increases from today’s 7 billion to an estimated 8 billion in 2025, the demand for water will rise to satisfy the increased demand for food, particularly as meat consumption in global diets increase. “One barrier to better management of water resources is simply lack of data — where the water is, where it's going, how much is being used and for what purposes, how much might be saved by doing things differently. In this way, the water problem is largely an information problem. The information we can assemble has a huge bearing on how we cope with a world at peak water.” Source: Wired Magazine, “Peak Water: Aquifers and Rivers Are Running Dry. How Three Regions Are Coping”, Matthew Power, April 21st, 2008 We believe that by addressing the following four problems, we will be in a better situation to address the bigger picture. Problem 1 Lack of technology in pricing agricultural commodities Problem 2 Data collection for desalination of water for irrigation Problem 3 Watershed development in pilot villages Problem 4 Lack of accurate Demand forecasting tools - Awareness of water management for farmers, commercialization of organic farming and add value of agriculture products. Solution to Problem 1 Lack of technology in pricing agricultural commodities in India Currently there is an incubation project of this size which has been initiated in India.