[HTML][HTML] Internet of things for the future of smart agriculture: A comprehensive survey of emerging technologies

O Friha, MA Ferrag, L Shu, L Maglaras… - IEEE/CAA Journal of …, 2021 - ieee-jas.net
This paper presents a comprehensive review of emerging technologies for the internet of
things (IoT)-based smart agriculture. We begin by summarizing the existing surveys and …

The impact of 6G-IoT technologies on the development of agriculture 5.0: a review

S Polymeni, S Plastras, DN Skoutas, G Kormentzas… - Electronics, 2023 - mdpi.com
Throughout human history, agriculture has undergone a series of progressive
transformations based on ever-evolving technologies in an effort to increase productivity and …

The optimal phenological phase of maize for yield prediction with high-frequency UAV remote sensing

B Yang, W Zhu, EE Rezaei, J Li, Z Sun, J Zhang - Remote Sensing, 2022 - mdpi.com
Unmanned aerial vehicle (UAV)-based multispectral remote sensing effectively monitors
agro-ecosystem functioning and predicts crop yield. However, the timing of the remote …

[HTML][HTML] Integration of remote sensing and machine learning for precision agriculture: a comprehensive perspective on applications

J Wang, Y Wang, G Li, Z Qi - Agronomy, 2024 - mdpi.com
Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …

Synergistic use of stay-green traits and UAV multispectral information in improving maize yield estimation with the random forest regression algorithm

Y Liu, K Fan, L Meng, C Nie, Y Liu, M Cheng… - … and Electronics in …, 2025 - Elsevier
The timely and accurate estimation of maize yield in the field is critical for developing
agricultural management strategies and ensuring food security. Most crop yield estimation …

[HTML][HTML] Lightweight Deep Learning Models for High-Precision Rice Seedling Segmentation from UAV-Based Multispectral Images

P Zhang, X Sun, D Zhang, Y Yang, Z Wang - Plant Phenomics, 2023 - spj.science.org
Accurate segmentation and detection of rice seedlings is essential for precision agriculture
and high-yield cultivation. However, current methods suffer from high computational …

Assessing Maize Yield Spatiotemporal Variability Using Unmanned Aerial Vehicles and Machine Learning

C de Villiers, Z Mashaba-Munghemezulu… - Geomatics, 2024 - mdpi.com
Optimizing the prediction of maize (Zea mays L.) yields in smallholder farming systems
enhances crop management and thus contributes to reducing hunger and achieving one of …

UAV-Based RGB Imagery for Hokkaido Pumpkin (Cucurbita max.) Detection and Yield Estimation

L Wittstruck, I Kühling, D Trautz, M Kohlbrecher… - Sensors, 2020 - mdpi.com
Pumpkins are economically and nutritionally valuable vegetables with increasing popularity
and acreage across Europe. Successful commercialization, however, require detailed pre …

A method of calculating phenotypic traits for soybean canopies based on three-dimensional point cloud

X Ma, B Wei, H Guan, S Yu - Ecological informatics, 2022 - Elsevier
Abstract Analysis of soybean phenotypes is a core motivation behind soybean breeding.
However, amounts of manual measures are required in obtaining canopy phenotypic traits …

İnsansız hava araçları ve tarımsal uygulamalarda kullanımı

M Akkamış, S Çalışkan - Türkiye İnsansız Hava Araçları Dergisi, 2020 - dergipark.org.tr
Bitkisel üretimde sürdürülebilirliğin sağlanması yenilikçi tarım uygulamalarının uygulanması
ile mümkündür. Bu yeniliklerin üretim alanında uygulanmasıyla tarım arazileri birçok açıdan …