AIMC Topic: Crops, Agricultural

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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 Crops, Agricultural Plant Breeding Artificial Intelligence
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Predicting the influence of extreme temperatures on grain production in the Middle-Lower Yangtze Plains using a spatially-aware deep learning model.

PeerJ Oct 18, 2024
Grain crops are vulnerable to anthropogenic climate change and extreme temperature events. Despite this, previous studies have often neglected the impact of the spatio-temporal distribution of extreme temperature events on regional grain outputs. Thi...
Crops, Agricultural Edible Grain Deep Learning Climate Change China
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Machine learning reveals dynamic controls of soil nitrous oxide emissions from diverse long-term cropping systems.

Journal of environmental quality Oct 9, 2024
Soil nitrous oxide (NO) emissions exhibit high variability in intensively managed cropping systems, which challenges our ability to understand their complex interactions with controlling factors. We leveraged 17 years (2003-2019) of measurements at t...
Environmental Monitoring Machine Learning Air Pollutants Crops, Agricultural Soil Agriculture Nitrous Oxide
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Leveraging machine learning for sustainable cultivation of Zn-enriched crops in Cd-contaminated karst regions.

The Science of the total environment Oct 3, 2024
Karst soils often exhibit elevated zinc (Zn) levels, providing an opportunity to cultivate Zn-enriched crops. (meanwhile) However, these soils also frequently contain high background levels of toxic metals, particularly cadmium (Cd), posing potential...
Machine Learning Crops, Agricultural Soil Environmental Monitoring Zinc Cadmium China Soil Pollutants Agriculture
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Parametric seasonal-trend autoregressive neural network for long-term crop price forecasting.

PloS one Sep 26, 2024
Crop price forecasting is difficult in that supply is not as elastic as demand, therefore, supply and demand should be stabilized through long-term forecasting and pre-response to the price. In this study, we propose a Parametric Seasonal-Trend Autor...
Commerce Neural Networks, Computer Seasons Raphanus Forecasting Crops, Agricultural
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Co-exposure to microplastics and soil pollutants significantly exacerbates toxicity to crops: Insights from a global meta and machine-learning analysis.

The Science of the total environment Sep 24, 2024
Environmental contamination of microplastics (MPs) is ubiquitous worldwide, and co-contamination of arable soils with MPs and other pollutants is of increasing concern, and may lead to unexpected consequences on crop production. However, the overall ...
Soil Pollutants Environmental Pollution Crops, Agricultural Microplastics Soil Machine Learning Environmental Monitoring
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Integrating IoT for Soil Monitoring and Hybrid Machine Learning in Predicting Tomato Crop Disease in a Typical South India Station.

Sensors (Basel, Switzerland) Sep 24, 2024
This study develops a hybrid machine learning (ML) algorithm integrated with IoT technology to improve the accuracy and efficiency of soil monitoring and tomato crop disease prediction in Anakapalle, a south Indian station. An IoT device collected on...
Crops, Agricultural Plant Diseases Machine Learning Algorithms Support Vector Machine Soil Solanum lycopersicum India Internet of Things
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Evaluation of crop water stress index of wheat by using machine learning models.

Environmental monitoring and assessment Sep 23, 2024
The Crop Water Stress Index (CWSI), a pivotal indicator derived from canopy temperature, plays a crucial role in irrigation scheduling for water conservation in agriculture. This study focuses on determining CWSI (by empirical method) for wheat crops...
Agricultural Irrigation Agriculture Environmental Monitoring Dehydration Crops, Agricultural Triticum Water India Machine Learning Temperature Neural Networks, Computer
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Rice yield prediction through integration of biophysical parameters with SAR and optical remote sensing data using machine learning models.

Scientific reports Sep 17, 2024
In an era marked by growing global population and climate variability, ensuring food security has become a paramount concern. Rice, being a staple crop for billions of people, requires accurate and timely yield prediction to ensure global food securi...
Machine Learning Remote Sensing Technology Neural Networks, Computer Crops, Agricultural Radar Oryza Seasons
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Image Processing for Smart Agriculture Applications Using Cloud-Fog Computing.

Sensors (Basel, Switzerland) Sep 14, 2024
The widespread use of IoT devices has led to the generation of a huge amount of data and driven the need for analytical solutions in many areas of human activities, such as the field of smart agriculture. Continuous monitoring of crop growth stages e...
Algorithms Deep Learning Agriculture Crops, Agricultural Image Processing, Computer-Assisted Humans Cloud Computing Neural Networks, Computer
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