AIMC Topic: Crops, Agricultural

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Smart IoT-driven precision agriculture: Land mapping, crop prediction, and irrigation system.

PloS one Mar 18, 2025
As the world population is increasing day by day, so is the need for more advanced automated precision agriculture to meet the increasing demands for food while decreasing labor work and saving water for crops. Recently, there have been many studies ...
Internet of Things Agriculture Crops, Agricultural Fuzzy Logic Agricultural Irrigation Machine Learning Soil
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Deep learning based agricultural pest monitoring and classification.

Scientific reports Mar 13, 2025
Precise pest classification plays an essential role in smart agriculture. Crop yields are severely impacted by pest damage, which poses a critical challenge for agricultural production and the economy. Identifying pests is of utmost importance, but m...
Crops, Agricultural Pest Control Image Processing, Computer-Assisted Agriculture Neural Networks, Computer Deep Learning
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Leveraging ML to predict climate change impact on rice crop disease in Eastern India.

Environmental monitoring and assessment Mar 8, 2025
Rice crop disease is critical in precision agriculture due to various influencing components and unstable environments. The current study uses machine learning (ML) models to predict rice crop disease in Eastern India based on biophysical factors for...
Oryza Climate Change Agriculture Environmental Monitoring Crops, Agricultural Plant Diseases Machine Learning India
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Leveraging YOLO deep learning models to enhance plant disease identification.

Scientific reports Mar 7, 2025
Early automation in identifying plant diseases is crucial for the precise protection of crops. Plant diseases pose substantial risks to agriculture-dependent nations, often leading to notable crop losses and financial challenges, particularly in deve...
Deep Learning Plant Leaves Crops, Agricultural Plant Diseases Fragaria
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Origin traceability of agricultural products: A lightweight collaborative neural network for spectral information processing.

Food research international (Ottawa, Ont.) Mar 6, 2025
The natural conditions of various regions, including climate, soil, and water quality, significantly influence the nutrient composition and quality of agricultural products. Identifying the origin of agricultural products can prevent adulteration, im...
Food Analysis Oryza Agriculture Neural Networks, Computer Arachis Food Quality Food Contamination Crops, Agricultural
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Hybrid feature optimized CNN for rice crop disease prediction.

Scientific reports Mar 6, 2025
The agricultural industry significantly relies on autonomous systems for detecting and analyzing rice diseases to minimize financial and resource losses, reduce yield reductions, improve processing efficiency, and ensure healthy crop production. Adva...
Plant Diseases Deep Learning Image Processing, Computer-Assisted Oryza Neural Networks, Computer Crops, Agricultural Plant Leaves Algorithms
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Hyperspectral discrimination of vegetable crops grown under organic and conventional cultivation practices: a machine learning approach.

Scientific reports Mar 6, 2025
A verifiable and regional level method for mapping crops cultivated under organic practices holds significant promise for certifying and ensuring the quality of farm products marketed as organic. The prevailing method for the identification of organi...
India Remote Sensing Technology Machine Learning Hyperspectral Imaging Solanum melongena Vegetables Organic Agriculture Crops, Agricultural
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Enhanced recognition and counting of high-coverage Amorphophallus konjac by integrating UAV RGB imagery and deep learning.

Scientific reports Feb 22, 2025
Accurate counting of Amorphophallus konjac (Konjac) plants can offer valuable insights for agricultural management and yield prediction. While current studies have primarily focused on detecting and counting crop plants during the early stages of low...
Amorphophallus Crops, Agricultural Unmanned Aerial Devices Image Processing, Computer-Assisted Deep Learning Agriculture Remote Sensing Technology
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A text-speech multimodal Chinese named entity recognition model for crop diseases and pests.

Scientific reports Feb 13, 2025
Named Entity Recognition for crop diseases and pests (NER-CDP) is significant in agricultural information extraction and offers vital data support for subsequent knowledge services and retrieval. However, existing NER-CDP methods rely heavily on plai...
Algorithms China Crops, Agricultural Plant Diseases Natural Language Processing Humans Semantics
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Hyperspectral technology and machine learning models to estimate the fruit quality parameters of mango and strawberry crops.

PloS one Feb 11, 2025
Using chemical laboratory procedures to estimate the fruit quality parameters (biochemical parameters) of mango "Succarri" and strawberry "Florida" as indicators of ripening degrees in a large area presents challenges such as low throughput, labor in...
Crops, Agricultural Mangifera Machine Learning Fruit Fragaria Neural Networks, Computer
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