Smart Plant Disease Management Using Agrometeorological Big Data
نویسندگان
چکیده
منابع مشابه
Smart Big Data
Die intelligente Nutzung von digitalen Daten spielt eine zentrale Rolle, wenn es darum geht, Antworten auf zukünftige wirtschaftliche und gesellschaftliche Herausforderungen zu geben. Software ist hierbei der fundamentale Werkstoff für innovative Produkte und Dienstleistungen. Die Wettbewerbsfähigkeit der deutschen Wirtschaft wird entscheidend von der Fähigkeit abhängen, softwarebasierte Produk...
متن کاملBig Data Efficiency, Information Waste and Lean Big Data Management: Lessons from the Smart Grid Implementation
Big data has become a popular buzzword today with the underlying assumption that bigger data is better. However, by its nature, big data comes with many challenges and environmental costs. In contrast to other research that has examined the benefits and costs of big data independently, our research-in-progress provides an integrated perspective. Theoretically, we draw on the perspective of lean...
متن کاملBig Data Warehouse Framework for Smart Revenue Management
Revenue Management’s most cited definitions is probably “to sell the right accommodation to the right customer, at the right time and the right price, with optimal satisfaction for customers and hoteliers”. Smart Revenue Management (SRM) is a project, which aims the development of smart automatic techniques for an efficient optimization of occupancy and rates of hotel accommodations, commonly r...
متن کاملBig Data Analytics for Dynamic Energy Management in Smart Grids
The smart electricity grid enables a two-way flow of power and data between suppliers and consumers in order to facilitate the power flow optimization in terms of economic efficiency, reliability and sustainability. This infrastructure permits the consumers and the micro-energy producers to take a more active role in the electricity market and the dynamic energy management (DEM). The most impor...
متن کاملSmart Asset Management for Electric Utilities: Big Data and Future
This paper discusses about needs and ways to improve predictive maintenance in the future while facilitating the electric utilities to make smarter decisions about when and where maintenance should be performed. Utilities have been collecting data in large amounts but they are hardly utilized because they are huge in amount and also there is uncertainty associated with it. Condition monitoring ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Research in Plant Disease
سال: 2020
ISSN: 1598-2262,2233-9191
DOI: 10.5423/rpd.2020.26.3.121