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181
Data Sheet 1_Prevalence and molecular characterization of Cryptosporidium spp. in cattle in central and Western Inner Mongolia, China.docx
Published 2025“…A total of 847 fecal samples were collected from 16 farms in central and western Inner Mongolia (Hohhot, Ordos, Bayan Nur and Baotou), and 15.94% (135/847) of samples were positive. …”
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182
Figures and Tables
Published 2025“…Avizzano, "Towards smart farming and sustainable agriculture with drones," in Proc. …”
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183
Data Tables for The Delta Islands Adaptation Strategy; Development of Regenerative Land Uses in the Sacramento-San Joaquin Delta Through Interdisciplinary Science and Co-Design
Published 2025“…The Delta Islands Adaptation Strategy (DIA) sought through interdisciplinary science, codesign, ecocultural knowledge, public involvement, and structured decision making to assess the potential implementation of alternate land uses on four Delta islands, Bouldin Island, Webb Tract, Holland Tract, and Bacon Island. …”
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184
Data Sheet 2_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.pdf
Published 2025“…It showed great accuracy in detecting both biotic and abiotic stress factors, which allows the timely detection of the broken urban farms. This solution promotes sustainable urban agriculture by minimizing the waste of crops by monitoring stress accurately and at scale. …”
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185
Data Sheet 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.zip
Published 2025“…It showed great accuracy in detecting both biotic and abiotic stress factors, which allows the timely detection of the broken urban farms. This solution promotes sustainable urban agriculture by minimizing the waste of crops by monitoring stress accurately and at scale. …”
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186
Table 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.xlsx
Published 2025“…It showed great accuracy in detecting both biotic and abiotic stress factors, which allows the timely detection of the broken urban farms. This solution promotes sustainable urban agriculture by minimizing the waste of crops by monitoring stress accurately and at scale. …”