AIMC Topic: Crop Production

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Improving early prediction of crop yield in Spanish olive groves using satellite imagery and machine learning.

PloS one Jan 15, 2025
In the production sector, the usefulness of predictive systems as a tool for management and decision-making is well known. In the agricultural sector, a correct economic balance of the farm depends on making the right decisions. For this purpose, hav...
Agriculture Seasons Machine Learning Spain Satellite Imagery Crop Production Olea Crops, Agricultural
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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...
Crop Production Agriculture Crops, Agricultural Deep Learning
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Deep Learning-Based Barley Disease Quantification for Sustainable Crop Production.

Phytopathology Sep 13, 2024
Net blotch disease caused by is a major fungal disease that affects barley () plants and can result in significant crop losses. In this study, we developed a deep learning model to quantify net blotch disease symptoms on different days postinfection...
Neural Networks, Computer Deep Learning Ascomycota Crop Production Plant Diseases Plant Leaves Hordeum Crops, Agricultural
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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...
Pakistan Climate Change Machine Learning Agriculture Crop Production Crops, Agricultural Rain
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Impact of economic indicators on rice production: A machine learning approach in Sri Lanka.

PloS one Jun 21, 2024
Rice is a crucial crop in Sri Lanka, influencing both its agricultural and economic landscapes. This study delves into the complex interplay between economic indicators and rice production, aiming to uncover correlations and build prediction models u...
Machine Learning Support Vector Machine Sri Lanka Agriculture Oryza Crop Production Crops, Agricultural
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Investigating the effect of climate factors on fig production efficiency with machine learning approach.

Journal of the science of food and agriculture May 31, 2024
BACKGROUND: This study employs a machine learning approach to investigate the impact of climate change on fig production in Turkey. The eXtreme Gradient Boosting (XGBoost) algorithm is used to analyze production performance and climate variable data ...
Turkey Climate Change Ficus Crop Production Temperature Agriculture Machine Learning
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Models for predicting coffee yield from chemical characteristics of soil and leaves using machine learning.

Journal of the science of food and agriculture Mar 15, 2024
BACKGROUND: Coffee farming constitutes a substantial economic resource, representing a source of income for several countries due to the high consumption of coffee worldwide. Precise management of coffee crops involves collecting crop attributes (cha...
Crop Production Soil Coffea Agriculture Machine Learning Plant Leaves Coffee
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Sensing and Automation Technologies for Ornamental Nursery Crop Production: Current Status and Future Prospects.

Sensors (Basel, Switzerland) Feb 6, 2023
The ornamental crop industry is an important contributor to the economy in the United States. The industry has been facing challenges due to continuously increasing labor and agricultural input costs. Sensing and automation technologies have been int...
Prospective Studies Artificial Intelligence Crop Production Technology Automation
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Multi-feature data repository development and analytics for image cosegmentation in high-throughput plant phenotyping.

PloS one Sep 2, 2021
Cosegmentation is a newly emerging computer vision technique used to segment an object from the background by processing multiple images at the same time. Traditional plant phenotyping analysis uses thresholding segmentation methods which result in h...
Cluster Analysis Fagopyrum Deep Learning Benchmarking Crop Production Image Processing, Computer-Assisted Humans Markov Chains Helianthus Crops, Agricultural Phenotype
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Nanotechnology and artificial intelligence to enable sustainable and precision agriculture.

Nature plants Jun 24, 2021
Climate change, increasing populations, competing demands on land for production of biofuels and declining soil quality are challenging global food security. Finding sustainable solutions requires bold new approaches and integration of knowledge from...
Artificial Intelligence Sustainable Development Nanotechnology Crop Production Crops, Agricultural Agrochemicals
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