AIMC Topic: Crops, Agricultural

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Synthetic biology and artificial intelligence in crop improvement.

Plant communications Dec 12, 2024
Synthetic biology plays a pivotal role in improving crop traits and increasing bioproduction through the use of engineering principles that purposefully modify plants through "design, build, test, and learn" cycles, ultimately resulting in improved b...
Genetic Engineering Plant Breeding Synthetic Biology Gene Editing Artificial Intelligence Crops, Agricultural
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Advancing food security: Rice yield estimation framework using time-series satellite data & machine learning.

PloS one Dec 12, 2024
Timely and accurately estimating rice yields is crucial for supporting food security management, agricultural policy development, and climate change adaptation in rice-producing countries such as Bangladesh. To address this need, this study introduce...
Crops, Agricultural Bangladesh Satellite Imagery Food Security Machine Learning Oryza Agriculture Climate Change
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Development of multistage crop yield estimation model using machine learning and deep learning techniques.

International journal of biometeorology Dec 7, 2024
In this research paper, machine learning techniques were applied to a multivariate meteorological time series data for estimating the wheat yield of five districts of Punjab. Wheat yield data and weather parameters over 34 years were collected from t...
Models, Theoretical Triticum Deep Learning India Weather Crops, Agricultural Neural Networks, Computer Machine Learning
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Integrating Sentinel-1 data and machine learning for effective paddy field monitoring in Cauvery Delta Zone, Tamil Nadu, India.

Environmental monitoring and assessment Dec 5, 2024
Paddy crop mapping is essential for agricultural monitoring, ensuring food security, and enhancing resource allocation. This study observes the Cauvery Delta Zone (CDZ), recognized as the rice bowl of Tamil Nadu and a crucial area for paddy farming i...
Machine Learning India Agriculture Radar Oryza Crops, Agricultural Environmental Monitoring Support Vector Machine
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Smart agriculture: utilizing machine learning and deep learning for drought stress identification in crops.

Scientific reports Dec 3, 2024
Plant stress reduction research has advanced significantly with the use of Artificial Intelligence (AI) techniques, such as machine learning and deep learning. This is a significant step toward sustainable agriculture. Innovative insights into the ph...
Crops, Agricultural Neural Networks, Computer Stress, Physiological Algorithms Agriculture Deep Learning Support Vector Machine Machine Learning Droughts
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Towards efficient IoT communication for smart agriculture: A deep learning framework.

PloS one Nov 21, 2024
The integration of IoT (Internet of Things) devices has emerged as a technical cornerstone in the landscape of modern agriculture, revolutionising the way farming practises are viewed and managed. Smart farming, enabled by interconnected sensors and ...
Temperature Ecosystem Humans Neural Networks, Computer Internet of Things Deep Learning Agriculture Crops, Agricultural Humidity
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Sunflower mapping using machine learning algorithm in Google Earth Engine platform.

Environmental monitoring and assessment Nov 18, 2024
The sunflower crop is one of the most pro sources of vegetable oil globally. It is cultivated all around the world including Haryana, in India. However, its mapping is limited due to the requirement of huge computation power, large data storage capac...
Algorithms India Helianthus Machine Learning Support Vector Machine Agriculture Crops, Agricultural Environmental Monitoring
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Deep learning-based rice pest detection research.

PloS one Nov 7, 2024
With the increasing pressure on global food security, the effective detection and management of rice pests have become crucial. Traditional pest detection methods are not only time-consuming and labor-intensive but also often fail to achieve real-tim...
Crops, Agricultural Pest Control Agriculture Oryza Animals Deep Learning
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Improving crop production using an agro-deep learning framework in precision agriculture.

BMC bioinformatics Nov 1, 2024
BACKGROUND: The study focuses on enhancing the effectiveness of precision agriculture through the application of deep learning technologies. Precision agriculture, which aims to optimize farming practices by monitoring and adjusting various factors i...
Deep Learning Crops, Agricultural Crop Production Agriculture
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Big data and artificial intelligence-aided crop breeding: Progress and prospects.

Journal of integrative plant biology Oct 28, 2024
The past decade has witnessed rapid developments in gene discovery, biological big data (BBD), artificial intelligence (AI)-aided technologies, and molecular breeding. These advancements are expected to accelerate crop breeding under the pressure of ...
Big Data Artificial Intelligence Crops, Agricultural Plant Breeding
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