AIMC Topic: Agriculture
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Automated weed and crop recognition and classification model using deep transfer learning with optimization algorithm.
Scientific reports
Aug 10, 2025
Weeds and crops contribute to a endless resistance for similar assets, which leads to potential declines in crop production and enlarged agricultural expenses. Conventional models of weed control like extensive pesticide use, appear with the hassle o...
Maximizing multi-source data integration and minimizing the parameters for greenhouse tomato crop water requirement prediction.
Scientific reports
Aug 9, 2025
Accurate scientific predicting of water requirements for protected agriculture crops is essential for informed irrigation management. The Penman-Monteith model, endorsed by the Food and Agriculture Organization of the United Nations (FAO), is current...
Study on the effect of light distribution on the greenhouse environment in Chinese solar greenhouse.
PloS one
Aug 7, 2025
Solar greenhouse is a primary agricultural facility in northern China during winter, providing a certain level of security for the demand for vegetables and melons in the northern regions. However, there remains a lack of uniformity between crop requ...
Evaluating crop yield prediction models in illinois using aquacrop, semi-physical model and artificial neural networks.
Scientific reports
Jul 28, 2025
Crop yield is important for agricultural productivity and the country's economy. While crop yield estimation is an essential aspect of modern agriculture, it continues to be one of the most challenging tasks to manage effectively. Corn and soybean ar...
Predicting wheat yield using deep learning and multi-source environmental data.
Scientific reports
Jul 21, 2025
Accurate forecasting of crop yields is essential for ensuring food security and promoting sustainable agricultural practices. Winter wheat, a key staple crop in Pakistan, faces challenges in yield prediction because of the complex interactions among ...
Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction.
PloS one
Jul 21, 2025
Modern sustainable farming demands precise water management techniques, particularly for crops like potatoes that require high-quality irrigation to ensure optimal growth. This study presents a novel hybrid metaheuristic framework that combines Dippe...
Optimization of a multi-environmental detection model for tomato growth point buds based on multi-strategy improved YOLOv8.
Scientific reports
Jul 16, 2025
Tomato growing points and flower buds serve as vital physiological indicators influencing yield quality, yet their detection remains challenging in complex facility environments. This study develops an improved YOLOv8 model for robust flower bud dete...
The intelligent evaluation model of the English humanistic landscape in agricultural industrial parks by the SPEAKING model: From the perspective of fish-vegetable symbiosis in new agriculture.
PloS one
Jul 16, 2025
To more accurately capture the expression of the English humanistic landscape in agricultural industrial parks under the emerging agricultural paradigm of fish-vegetable symbiosis, and to address the limitations of unscientific evaluation standards a...
AI-driven smart agriculture using hybrid transformer-CNN for real time disease detection in sustainable farming.
Scientific reports
Jul 14, 2025
Plant diseases pose a significant threat to global food security, with severe implications for agricultural productivity. Early and accurate detection of these diseases is crucial, yet it remains a challenging task, significantly impacting crop yield...
Monitoring the dynamics of irrigated parcels and impacts on phreatic water quality in the Mostaganem Plateau (northwestern Algeria): an integrated analysis using remote sensing and field data for 2010 and 2020.
Environmental monitoring and assessment
Jul 10, 2025
Since the early 2000s, Algeria has implemented several agricultural policies to expand its irrigated areas and enhance its national food security. While these efforts have significantly increased irrigated land, they have raised concerns about ground...
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