Big data, data mining, and data analysis for agricultural applications.Internet of things, cloud computing, and precision farming.Precision agriculture, intelligent instruments, robotics, and co-robotics for agriculture.Inspection and traceability for food quality.Computational fluid dynamics (CFD) applications in agriculture.Advanced computational approaches for solving agricultural and biological engineering problems.An Internet search engine is an example of an information-processing tool, as is any sophisticated information-retrieval system. #Information processing software#Advances in spectroscopy and hyperspectral properties of biological products Information processing consists of locating and capturing information, using software to manipulate it into a desired form, and outputting the data.Machine vision, computer vision, image processing and automation, and imaging technologies for high-throughput phenotyping Successful transformation of information into useable knowledge often requires the application of mental strategies and skills for processing information.Decision support systems, intelligent systems, and artificial intelligence Information processing is the process (procedure) by which the brain takes in stimuli from the immediate environment.Simulation, optimization, modeling, and automated control We research Cybersecurity and teach future experts to create secure technologies for everyone.Remote sensing and discrete element modeling (DEM) applications in agriculture.Wireless sensor networks, 4G, NB-IOT, and 5G applications in agriculture.Smart sensors, biosensors and bioelectronics, material and molecular innovations for chemical and biological sensing, sensors, and automation and control systems for agriculture.Topics of interest include, but are not limited to, the following aspects: Create and promote expert groups for the development of agro-meteorological databases, crop and livestock modeling, and applications for the development of crop performance-based decision support systems.Promote and encourage interactions among agriculture scientists, meteorologists, biologists (pathologists/entomologists), information technology professionals, and other stakeholders to develop and implement methods, techniques, and tools related to information processing technology in agriculture The information processing cycle refers to the order of events that go into processing information, including input, processing, storage and output.The English Program in Information Science and Technology was renewed. Provide a platform and opportunities for exchanging knowledge, strategies, and experiences among information processing researchers worldwide English Program on Intelligent Information Processing (For Current Students of IST).Report on experiences and publications of institutes, universities, and government, as well as profitable technologies for agriculture.Promote the use of knowledge and methods from information processing technologies in agriculture.Information Processing in Agriculture (IPA) was established in 2013 to encourage the development of science and technology related to information processing in agriculture, through the following aims:
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