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Machine learning in modelling land-use and land cover-change (LULCC): Current status, challenges and prospects
Land-use and land-cover change (LULCC) are of importance in natural resource
management, environmental modelling and assessment, and agricultural production …
management, environmental modelling and assessment, and agricultural production …
[HTML][HTML] A review of robots, perception, and tasks in precision agriculture
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 …
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
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** …
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
Background: Open Access Editor's Choice Review A Technical Study on UAV
Characteristics for Precision Agriculture Applications and Associated Practical Challenges …
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 …
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 …
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
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 …
Although precision agriculture (PA) takes less time and provides a more precise application …
Translating high-throughput phenoty** into genetic gain
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 …
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 …
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
With the emergence and development of unmanned aerial vehicles (UAVs), different
sensors have become more miniaturized and intelligent. UAVs equipped with various …
sensors have become more miniaturized and intelligent. UAVs equipped with various …