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Titlebook: Sensing Technologies for Field and In-House Crop Production; Technology Review an Man Zhang,Han Li,Zhao Zhang Book 2023 The Editor(s) (if a

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Yunxia Li,Zuochen Jiang,Zhao Zhang,Han Li,Man ZhangBereich machte um eine ‘ethnische Semantik’ zu konstruieren und die Kulturdifferenz zu untermauern (vgl. Lutz/Huth-Hildebrandt 1998: 163). Nicht nur das Verhältnis von Männern und Frauen, sondern die gesamte Migrantenfamilie steht im Fokus der Aufmerksamkeit.
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A Review of Three-Dimensional Multispectral Imaging in Plant Phenotyping,ion, and their operational workflows. Furthermore, this survey also explored the key parameters associated with these sophisticated instruments, including spectral bands, computable plant phenotyping parameters, applicable range, and the diverse spectrum of objects they are capable of detecting. In
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Recent Advances in Soil Nutrient Monitoring: A Review,itrogen, phosphorus, and potassium also finds a notable place. In the grand scheme, the exploration and application of soil nutrient testing bear profound significance in augmenting agricultural productivity, guaranteeing food security, and realizing sustainable agricultural progress.
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Design, Construction, and Experiment-Based Key Parameter Determination of Auto Maize Seed Placemented filling performance of brush under four speed configurations was compared and it was decided that the configuration of fast spinning speed (0.15 r/s) and slow horizontal speed (0.76 cm/s) would generate the highest hole’s seed filling rate. Seed dropping heights (13 cm, 15 cm, 17 cm, and 19 cm) f
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Development and Test of an Auto Seedling Detection System,nation conditions. The best detection time is the 2nd, 3rd, or 5th day after the germination. The optimal lighting is turning on both sides lights (lights 1 and 2), which has an illumination intensity of 553 lx. Comprehensively, the algorithm showed the highest detection effect on the 5th day with b
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2731-3476 nt phenotyping sensing technology and robotics and soil nutrient monitoring, followed by in-house crop sensing robotics. Then two case studies on corn and the other two case studies on wheat are presented..978-981-99-7929-5978-981-99-7927-1Series ISSN 2731-3476 Series E-ISSN 2731-3484
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