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Furry neighbours: Acceptability of feeding and managing free‐ranging dogs and cats in an urban area
Published 2025-02-01Get full text
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The Assessment of the Supply of Calcium and Vitamin D in the Diet of Women Regularly Practicing Sport
Published 2019-01-01Get full text
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Socio-economic assessment of drought impacts in Lesotho: implications for early action
Published 2024-11-01Get full text
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Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios
Published 2024-11-01Get full text
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Economic and environmental sustainability of agriculture production at the crop level
Published 2024-07-01Get full text
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Gaps in U.S. livestock data are a barrier to effective environmental and disease management
Published 2025-01-01Get full text
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Investigating factors affecting the financial recovery of businesses admitted to the stock exchange
Published 2024-11-01Get full text
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Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy
Published 2022-01-01“…To improve the accuracy of agricultural economic time series forecasting under the condition of complexity and diversity, this paper proposes an agricultural economic forecasting method based on Elman neural network structure. …”
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Intelligent Informatization Early Warning Analysis of Agricultural Economy Based on Support Vector Sequential Regression Model
Published 2021-01-01“…Experimental results show that the prediction accuracy is 99.3%, the error is less than 0.05, and the prediction effect is relatively ideal, for agricultural economic intelligence information to provide accurate warning and agricultural economic research agricultural commercial development to provide support.…”
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Agricultural GDP exposure to drought and its machine learning-based prediction in the Jialing River Basin, China
Published 2025-02-01“…This study integrates hydrological modeling, machine learning methods, and long-term agricultural economic data from 1991 to 2020 in the Jialing River Basin (JRB) to detect and forecast meteorological and agricultural droughts, as well as their impact on cropland. …”
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