AIMC Topic: Agriculture
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A machine learning approach to investigate the impact of land use land cover (LULC) changes on groundwater quality, health risks and ecological risks through GIS and response surface methodology (RSM).
Journal of environmental management
Jul 19, 2024
Groundwater resources are enormously affected by land use land cover (LULC) dynamics caused by increasing urbanisation, agricultural and household discharge as a result of global population growth. This study investigates the impact of decadal LULC c...
Enhancing agriculture through real-time grape leaf disease classification via an edge device with a lightweight CNN architecture and Grad-CAM.
Scientific reports
Jul 11, 2024
Crop diseases can significantly affect various aspects of crop cultivation, including crop yield, quality, production costs, and crop loss. The utilization of modern technologies such as image analysis via machine learning techniques enables early an...
Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI.
Scientific reports
Jul 6, 2024
Common beans (CB), a vital source for high protein content, plays a crucial role in ensuring both nutrition and economic stability in diverse communities, particularly in Africa and Latin America. However, CB cultivation poses a significant threat to...
Positive public attitudes towards agricultural robots.
Scientific reports
Jul 6, 2024
Robot technologies could lead to radical changes in farming. But what does the public know and think about agricultural robots? Recent experience with other agricultural technologies-such as plant genetic engineering-shows that public perceptions can...
A critical systematic review on spectral-based soil nutrient prediction using machine learning.
Environmental monitoring and assessment
Jul 4, 2024
The United Nations (UN) emphasizes the pivotal role of sustainable agriculture in addressing persistent starvation and working towards zero hunger by 2030 through global development. Intensive agricultural practices have adversely impacted soil quali...
Artificial neural networks in soil quality prediction: Significance for sustainable tea cultivation.
The Science of the total environment
Jul 3, 2024
In today's era artificial intelligence is quite popular, one of the most effective algorithms used is Artificial Neural Networks (ANN). In this study, the determination of soil quality using the Soil Management Assessment Framework (SMAF) model in ar...
Deep learning-based prediction of plant height and crown area of vegetable crops using LiDAR point cloud.
Scientific reports
Jun 28, 2024
Remote sensing has been increasingly used in precision agriculture. Buoyed by the developments in the miniaturization of sensors and platforms, contemporary remote sensing offers data at resolutions finer enough to respond to within-farm variations. ...
Optimal biochar selection for cadmium pollution remediation in Chinese agricultural soils via optimized machine learning.
Journal of hazardous materials
Jun 27, 2024
Biochar is effective in mitigating heavy metal pollution, and cadmium (Cd) is the primary pollutant in agricultural fields. However, traditional trial-and-error methods for determining the optimal biochar remediation efficiency are time-consuming and...
Securing China's rice harvest: unveiling dominant factors in production using multi-source data and hybrid machine learning models.
Scientific reports
Jun 26, 2024
Ensuring the security of China's rice harvest is imperative for sustainable food production. The existing study addresses a critical need by employing a comprehensive approach that integrates multi-source data, including climate, remote sensing, soil...
Assessing the impact of climate variability on maize yields in the different regions of Ghana-A machine learning perspective.
PloS one
Jun 25, 2024
Climate variability has become one of the most pressing issues of our time, affecting various aspects of the environment, including the agriculture sector. This study examines the impact of climate variability on Ghana's maize yield for all agro-ecol...
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