Data Sheet 1_Prevalence and molecular characterization of Cryptosporidium spp. in cattle in central and Western Inner Mongolia, China.docx od Xinlei Yan (10224556)

“…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. …”

Figures and Tables od Divya C D (22799186)

“…Avizzano, "Towards smart farming and sustainable agriculture with drones," in Proc. …”

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 od Steven Deverel (8627523)

“…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. …”

Data Sheet 2_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.pdf od Upinder Kaur (10805317)

“…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. …”

Data Sheet 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.zip od Upinder Kaur (10805317)

“…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. …”

Table 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.xlsx od Upinder Kaur (10805317)

“…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. …”