Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review

MA Istiak, MMM Syeed, MS Hossain, MF Uddin… - Ecological …, 2023 - Elsevier
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …

[PDF][PDF] A comprehensive review of artificial intelligence and machine learning applications in energy sector

A Raihan - Journal of Technology Innovations and Energy, 2023 - researchgate.net
The energy industry worldwide is today confronted with several challenges, including
heightened levels of consumption and inefficiency, volatile patterns in demand and supply …

[HTML][HTML] Rapid estimation of soil Mn content by machine learning and soil spectra in large-scale

M Zhou, T Hu, M Wu, C Ma, C Qi - Ecological Informatics, 2024 - Elsevier
Manganese (Mn) is an essential element in both plants and the human body; however,
traditional methods for monitoring Mn in soil are costly and inefficient. As such, it is …

A lightweight open-world pest image classifier using ResNet8-based matching network and NT-Xent loss function

Q Guo, C Wang, D Xiao, Q Huang - Expert Systems with Applications, 2024 - Elsevier
Pest control is essential for crop planting as crops are highly susceptible to pest damage. In
general, pest recognition is a fundamental element of pest control. Previous works have …

Recognition of Wheat Leaf Diseases Using Lightweight Convolutional Neural Networks against Complex Backgrounds

X Wen, M Zeng, J Chen, M Maimaiti, Q Liu - Life, 2023 - mdpi.com
Wheat leaf diseases are considered to be the foremost threat to wheat yield. In the realm of
crop disease detection, convolutional neural networks (CNNs) have emerged as important …

[HTML][HTML] Image patch-based deep learning approach for crop and weed recognition

ASMM Hasan, D Diepeveen, H Laga, MGK Jones… - Ecological …, 2023 - Elsevier
Accurate classification of weed species in crop plants plays a crucial role in precision
agriculture by enabling targeted treatment. Recent studies show that artificial intelligence …

Heterogeneous features and deep learning networks fusion-based pest detection, prevention and controlling system using IoT and pest sound analytics in a vast …

MA Ali, AK Sharma, RK Dhanaraj - Computers and Electrical Engineering, 2024 - Elsevier
Every country's foundation is its agricultural industry, which drives about half of global
economic growth. Accurate farming is crucial for crop evaluation and pest control. Old …

End-to-End Deep Learning Models for Gap Identification in Maize Fields

R Waqar, Ž Grbović, M Khan… - Proceedings of the …, 2024 - openaccess.thecvf.com
We propose an approach to jointly count plants and detect gaps in maize fields using end-to-
end deep-learning models. Unlike previous efforts that focused solely on plant detection our …

Spectral intelligent detection for aflatoxin B1 via contrastive learning based on Siamese network

H Zhu, Y Zhao, Q Gu, L Zhao, R Yang, Z Han - Food Chemistry, 2024 - Elsevier
Aflatoxins, harmful substances found in peanuts, corn, and their derivatives, pose significant
health risks. Addressing this, the presented research introduces an innovative MSGhostDNN …

Scientific Advancement in Trait Measurement and Quantification

J Maiti, A Joshi - Plant Functional Traits for Improving Productivity, 2024 - Springer
The field of trait measurement and quantification has witnessed significant scientific
advancements in recent years, driven by the growing demand for precise and …