Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects

J Wang, M Bretz, MAA Dewan, MA Delavar - Science of the Total …, 2022 - Elsevier
Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …

[HTML][HTML] A review of robots, perception, and tasks in precision agriculture

A Botta, P Cavallone, L Baglieri, G Colucci… - applied …, 2022 - mdpi.com
This review reports the recent state of the art in the field of mobile robots applied to precision
agriculture. After a brief introduction to precision agriculture, the review focuses on two main …

Soybean yield prediction from UAV using multimodal data fusion and deep learning

M Maimaitijiang, V Sagan, P Sidike, S Hartling… - Remote sensing of …, 2020 - Elsevier
Preharvest crop yield prediction is critical for grain policy making and food security. Early
estimation of yield at field or plot scale also contributes to high-throughput plant phenoty** …

A technical study on UAV characteristics for precision agriculture applications and associated practical challenges

N Delavarpour, C Koparan, J Nowatzki, S Bajwa… - Remote Sensing, 2021 - mdpi.com
Background: Open Access Editor's Choice Review A Technical Study on UAV
Characteristics for Precision Agriculture Applications and Associated Practical Challenges …

A comprehensive review of high throughput phenoty** and machine learning for plant stress phenoty**

T Gill, SK Gill, DK Saini, Y Chopra, JP de Koff… - Phenomics, 2022 - Springer
During the last decade, there has been rapid adoption of ground and aerial platforms with
multiple sensors for phenoty** various biotic and abiotic stresses throughout the …

A review on plant high-throughput phenoty** traits using UAV-based sensors

C ** for breeding lines require a lot of time, labor and cost. In
recent years, unmanned aerial system (UAS) has paved the way for the development of field …

[HTML][HTML] Automatic identification and monitoring of plant diseases using unmanned aerial vehicles: A review

K Neupane, F Baysal-Gurel - Remote Sensing, 2021 - mdpi.com
Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …

Translating high-throughput phenoty** into genetic gain

JL Araus, SC Kefauver, M Zaman-Allah, MS Olsen… - Trends in plant …, 2018 - cell.com
Inability to efficiently implement high-throughput field phenoty** is increasingly perceived
as a key component that limits genetic gain in breeding programs. Field phenoty** must …

UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras

L Deng, Z Mao, X Li, Z Hu, F Duan, Y Yan - ISPRS journal of …, 2018 - Elsevier
Unmanned aerial vehicle (UAV)-based multispectral remote sensing has shown great
potential for precision agriculture. However, there are many problems in data acquisition …

A review of UAV monitoring in mining areas: Current status and future perspectives

H Ren, Y Zhao, W **ao, Z Hu - International journal of coal science & …, 2019 - Springer
With the emergence and development of unmanned aerial vehicles (UAVs), different
sensors have become more miniaturized and intelligent. UAVs equipped with various …