AIMC Topic: Agriculture
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Research on precise phenotype identification and growth prediction of lettuce based on deep learning.
Environmental research
Apr 1, 2024
In recent years, precision agriculture, driven by scientific monitoring, precise management, and efficient use of agricultural resources, has become the direction for future agricultural development. The precise identification and assessment of pheno...
Integrating portable NIR spectrometry with deep learning for accurate Estimation of crude protein in corn feed.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Mar 28, 2024
This study investigates the challenges encountered in utilizing portable near-infrared (NIR) spectrometers in agriculture, specifically in developing predictive models with high accuracy and robust generalization abilities despite limited spectral re...
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...
Learning vs. understanding: When does artificial intelligence outperform process-based modeling in soil organic carbon prediction?
New biotechnology
Mar 8, 2024
In recent years, machine learning (ML) algorithms have gained substantial recognition for ecological modeling across various temporal and spatial scales. However, little evaluation has been conducted for the prediction of soil organic carbon (SOC) on...
Recent advances in artificial intelligence towards the sustainable future of agri-food industry.
Food chemistry
Mar 5, 2024
Artificial intelligence has the potential to alter the agricultural and food processing industries, with significant ramifications for sustainability and global food security. The integration of artificial intelligence in agriculture has witnessed a ...
Deep learning models for monitoring landscape changes in a UNESCO Global Geopark.
Journal of environmental management
Feb 27, 2024
By identifying Earth heritage sites, UNESCO Global Geoparks (UGGps) have promoted geo-tourism and regional economic prosperity. However, commercial and tourism development has altered the natural contexts of these geoparks, diminishing their initial ...
Soft robotics for farm to fork: applications in agriculture & farming.
Bioinspiration & biomimetics
Feb 27, 2024
Agricultural tasks and environments range from harsh field conditions with semi-structured produce or animals, through to post-processing tasks in food-processing environments. From farm to fork, the development and application of soft robotics offer...
Cultivating a sustainable future in the artificial intelligence era: A comprehensive assessment of greenhouse gas emissions and removals in agriculture.
Environmental research
Feb 23, 2024
Agriculture is a leading sector in international initiatives to mitigate climate change and promote sustainability. This article exhaustively examines the removals and emissions of greenhouse gases (GHGs) in the agriculture industry. It also investig...
ENVINet5 deep learning change detection framework for the estimation of agriculture variations during 2012-2023 with Landsat series data.
Environmental monitoring and assessment
Feb 5, 2024
Remote sensing is one of the most important methods for analysing the multitemporal changes over a certain period. As a cost-effective way, remote sensing allows the long-term analysis of agricultural land by collecting satellite imagery from differe...
An intelligent agriculture management system for rainfall prediction and fruit health monitoring.
Scientific reports
Jan 4, 2024
Contrary to popular belief, agriculture is becoming more data-driven with artificial intelligence and Internet-of-Things (IoT) playing crucial roles. In this paper, the integrated processing executed by various sensors combined as an IoT pack and dri...
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