AIMC Topic: Agriculture

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Predicting leaf nitrogen content in wolfberry trees by hyperspectral transformation and machine learning for precision agriculture.

PloS one Sep 26, 2024
Leaf nitrogen content (LNC) is an important indicator for scientific diagnosis of the nutrition status of crops. It plays an important role in the growth, yield and quality of wolfberry. This study aimed to develop new spectral indices (NSIs) and con...
Nitrogen Spectrum Analysis Lycium Machine Learning Agriculture Algorithms Plant Leaves
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Artificial Intelligence Techniques in Grapevine Research: A Comparative Study with an Extensive Review of Datasets, Diseases, and Techniques Evaluation.

Sensors (Basel, Switzerland) Sep 25, 2024
In the last few years, the agricultural field has undergone a digital transformation, incorporating artificial intelligence systems to make good employment of the growing volume of data from various sources and derive value from it. Within artificial...
Agriculture Vitis Plant Diseases Machine Learning Algorithms Neural Networks, Computer Artificial Intelligence
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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...
Triticum Dehydration Agricultural Irrigation Crops, Agricultural Agriculture Environmental Monitoring Water India Machine Learning Temperature Neural Networks, Computer
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Classification of land lot shapes in real estate sector using a convolutional neural network.

PloS one Sep 19, 2024
In the agriculture and real estate industries, land lot shapes have mostly been classified by visual inspection or hard-crafted rules. These conventional methods are time-consuming, resource-intensive, and subject to human bias. This study aims to fi...
Agriculture Humans Algorithms Neural Networks, Computer Deep Learning
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Unraveling the complex interactions between ozone pollution and agricultural productivity in China's main winter wheat region using an interpretable machine learning framework.

The Science of the total environment Sep 14, 2024
Surface ozone has become a significant atmospheric pollutant in China, exerting a profound impact on crop production and posing a serious threat to food security. Previous studies have extensively explored the physiological mechanisms of ozone damage...
Environmental Monitoring Air Pollutants China Agriculture Triticum Climate Change Air Pollution Ozone Machine Learning
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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...
Humans Neural Networks, Computer Crops, Agricultural Cloud Computing Image Processing, Computer-Assisted Algorithms Agriculture Deep Learning
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German sugar beet farmers' intention to use autonomous field robots for seeding and weeding.

Journal of environmental management Sep 13, 2024
Robotic weed control is not yet widely adopted, despite its technological availability and proven economics and sustainability in crop cultivation by replacing seasonal labor and synthetic pesticides. This impedes technologically enabled changes towa...
Humans Farmers Intention Germany Agriculture Robotics
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Predicting Prayagraj's Urbanization Trajectory using CA-ANN Modelling: Population Pressures and Land Use Dynamics.

Journal of environmental management Sep 11, 2024
Land Use/Land Cover (LULC) dynamics provide a crucial role in the monitoring, planning, and management of resources. They also offer valuable information for developing strategies to balance conservation efforts, resolve conflicts between different l...
Conservation of Natural Resources Urbanization Humans India Neural Networks, Computer Agriculture
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Association of precipitation extremes and crops production and projecting future extremes using machine learning approaches with CMIP6 data.

Environmental science and pollution research international Sep 2, 2024
Precipitation extremes have surged in frequency and duration in recent decades, significantly impacting various sectors, including agriculture, water resources, energy, and public health worldwide. Pakistan, being highly susceptible to climate change...
Machine Learning Agriculture Crops, Agricultural Rain Crop Production Pakistan Climate Change
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Yield prediction for crops by gradient-based algorithms.

PloS one Aug 26, 2024
A timely and consistent assessment of crop yield will assist the farmers in improving their income, minimizing losses, and deriving strategic plans in agricultural commodities to adopt import-export policies. Crop yield predictions are one of the var...
Machine Learning Algorithms Oryza Agriculture Temperature Crops, Agricultural
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