Table 3_AI-based predictive modeling for enteric methane mitigation: cross-farm validation using an allicin based essential oil.docx ‌ Yaniv Altshuler (645084)

“…Since the wide variety of feed additives available in the market, validating the model across a diverse range of additives is critical for its adoption in commercial farming practices. In this study, we extensively validate the model across ten commercial farms over a three-month period, involving 339 Holstein cows, and using an allicin-based essential oil (Allimax), an organosulfur compound obtained from garlic with potential to reduce enteric methane emissions. …”

Table 7_AI-based predictive modeling for enteric methane mitigation: cross-farm validation using an allicin based essential oil.docx ‌ Yaniv Altshuler (645084)

“…Since the wide variety of feed additives available in the market, validating the model across a diverse range of additives is critical for its adoption in commercial farming practices. In this study, we extensively validate the model across ten commercial farms over a three-month period, involving 339 Holstein cows, and using an allicin-based essential oil (Allimax), an organosulfur compound obtained from garlic with potential to reduce enteric methane emissions. …”

Supplementary file 1_A novel multilayer cultivation strategy improves light utilization and fruit quality in plant factories for tomato production.docx ‌ Hanaka Furuta (21810740)

“…The conventional I-shaped method involved vertical growth on the top tier with downward lighting, while the novel S-shaped method trained each plant horizontally across the second to fourth tiers with lateral lighting on each level. …”

Table 1_Advances and challenges in plant N-glycoengineering: when fucosylation matters.xlsx ‌ Kavya Gauba (22775996)

Supplementary file 1_Climate-resilient strategies for wheat farming: minimizing climate impact, optimizing productivity, and maximizing profitability in the subtropical agroecologi... ‌ Vijay Singh Meena (20564213)

“…<p>This study builds upon existing knowledge to quantify the extent of on-farm yield gaps and identify the most effective climate-resilient strategies (CRSs) to bridge them. …”

Table 1_Agricultural sustainability in the European Union: a review of concepts, policies and economic perspectives.docx ‌ Ioan Prigoreanu (22687250)

“…Third, empirical evidence from recent studies on the economic and financial performance of EU farms was synthesized to identify the structural determinants of viability. …”

Soil carbon accrual and crop production enhanced by sustainable subsoil management ‌ Haishui Yang (20651789)

Data Sheet 1_Integrated land systems for sustainable food production and biodiversity conservation in the semi-arid to moist tropics: stakeholder perspectives from Andhra Pradesh,... ‌ Iris Berger (21766859)

“…This is particularly pronounced in the south-Indian state Andhra Pradesh, where one of the largest agroecological transitions globally, namely Zero Budget Natural Farming (ZBNF), is currently underway, but involvement of conservation scientists and practitioners has been minimal and policy spheres are disjunct. …”

Autonomous Agriculture to Support Space Exploration ‌ Jenny Mortimer (9086825)

“…</p><p dir="ltr">Scientists involved included Dr. Ali Gill, Ms Chalotte Bampton and Ms Wendy Sullivan (Adelaide), Dr Samalka Wijeweera and Dr Troy Miller (UWA), Dr Eva Herrero Serrano (Cambridge), Dr John Stamford (Vertical Future).…”

Table 1_Assessment of a program for monitoring antimicrobial purchase and resistance in Escherichia coli and Salmonella enterica on pig farms in the Midwestern United States from M... ‌ Karyn A. Havas (16712667)

“…The available NARMS breakpoints are designed for humans, can be used for public health monitoring, and are likely to be applicable primarily to gastrointestinal infections involving the same bacteria in farm animals.</p>…”

<b>Robots for </b><b>Nature</b><b> and </b><b>Renewables</b>: From multi-modal robot for exploration to underwater robotics using acoustic sensors for inspection and monitoring in... ‌ Alessandro Puglisi (22304620)

Data Batch 1. ‌ Zainabu Hamisi Kilusungu (22600939)

“…This was a cross-sectional study conducted between March and June 2023, involving total of 60 fish farmers. Data were collected electronically using the Afya-Data application and analysed with SPSS Version 26.0. …”

Data Batch 2. ‌ Zainabu Hamisi Kilusungu (22600939)

“…This was a cross-sectional study conducted between March and June 2023, involving total of 60 fish farmers. Data were collected electronically using the Afya-Data application and analysed with SPSS Version 26.0. …”

Mapping of aquaculture activities. ‌ Zainabu Hamisi Kilusungu (22600939)

“…This was a cross-sectional study conducted between March and June 2023, involving total of 60 fish farmers. Data were collected electronically using the Afya-Data application and analysed with SPSS Version 26.0. …”

The weights of feature indexes 6 through 261. ‌ Tugba Aydemir (22056733)

“…Cow identification and tracking involve the precise recognition of individual cows and their products through unique identifiers or markers. …”

Number of measurements for each cow. ‌ Tugba Aydemir (22056733)

“…Cow identification and tracking involve the precise recognition of individual cows and their products through unique identifiers or markers. …”

The order of the features. ‌ Tugba Aydemir (22056733)

“…Cow identification and tracking involve the precise recognition of individual cows and their products through unique identifiers or markers. …”

The flowchart of the proposed method. ‌ Tugba Aydemir (22056733)

“…Cow identification and tracking involve the precise recognition of individual cows and their products through unique identifiers or markers. …”

Raw and normalized signals. ‌ Tugba Aydemir (22056733)

“…Cow identification and tracking involve the precise recognition of individual cows and their products through unique identifiers or markers. …”

The weights of feature indexes 1 through 5. ‌ Tugba Aydemir (22056733)

“…Cow identification and tracking involve the precise recognition of individual cows and their products through unique identifiers or markers. …”