Titlebook: Information and Communication Technologies for Agriculture—Theme II: Data; Dionysis D. Bochtis,Dimitrios E. Moshou,Panos M. P Book 2022 Sp

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You Got Data‥‥ Now What: Building the Right Solution for the Problem solutions to maximizing production and productivity. In the last decade, there has been a rapid expansion in Information and Communications Technology that is now capable of answering these challenges and breaking free of dependence upon manual labor and levels of human skill and experience that wo

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Application Possibilities of IoT-based Management Systems in Agricultureeet quality requirements, to reduce the environmental impact as well as to improve economic efficiency. The Industry 4.0 concept provides various methods in this regard, including data acquisition based on IoT (Internet of Things), or data analytics based on Big Data, to support the decision-making

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Plant Species Detection Using Image Processing and Deep Learning: A Mobile-Based Applicationuter/data scientists and botanists alike. This chapter describes a deep learning Convolutional Neural Network (CNN), which is trained to perform mobile imagery classification on plant species found throughout Ireland. The dataset of plant-classified RGB images underwent significant pre-processing, p

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Air drill Seeder Distributor Head Evaluation: A Comparison between Laboratory Tests and Computationahe National University of Rosario, are carried out. This test bench has been built to evaluate components of air drill seeder’s pneumatic transport and distribution system. Soybean (Glycine max) seeds are used in the experimental tests. In Computational Fluid Dynamics (CFD) simulations, soybean seed