Applications of remote sensing in precision agriculture: A review
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
Current practices in UAS-based environmental monitoring
With the increasing role that unmanned aerial systems (UAS) are playing in data collection
for environmental studies, two key challenges relate to harmonizing and providing …
for environmental studies, two key challenges relate to harmonizing and providing …
Machine learning-based approaches for predicting SPAD values of maize using multi-spectral images
Precisely monitoring the growth condition and nutritional status of maize is crucial for
optimizing agronomic management and improving agricultural production. Multi-spectral …
optimizing agronomic management and improving agricultural production. Multi-spectral …
Predicting canopy chlorophyll content in sugarcane crops using machine learning algorithms and spectral vegetation indices derived from UAV multispectral imagery
The use of satellite-based Remote Sensing (RS) is a well-developed field of research. RS
techniques have been successfully utilized to evaluate the chlorophyll content for the …
techniques have been successfully utilized to evaluate the chlorophyll content for the …
UAV-based remote sensing in plant stress imagine using high-resolution thermal sensor for digital agriculture practices: A meta-review
Water management is becoming a critical issue for sustainable agriculture, especially in the
semi-arid region, where problems with water scarcity are rising. More accurate water status …
semi-arid region, where problems with water scarcity are rising. More accurate water status …
Predicting the chlorophyll content of maize over phenotyping as a proxy for crop health in smallholder farming systems
Smallholder farmers depend on healthy and productive crop yields to sustain their socio-
economic status and ensure livelihood security. Advances in South African precision …
economic status and ensure livelihood security. Advances in South African precision …
Detection of citrus huanglongbing based on multi-input neural network model of UAV hyperspectral remote sensing
X Deng, Z Zhu, J Yang, Z Zheng, Z Huang, X Yin… - Remote Sensing, 2020 - mdpi.com
Citrus is an important cash crop in the world, and huanglongbing (HLB) is a destructive
disease in the citrus industry. To efficiently detect the degree of HLB stress on large-scale …
disease in the citrus industry. To efficiently detect the degree of HLB stress on large-scale …
无人机农业遥感在农作物病虫草害诊断应用研究进展
兰玉彬， 邓小玲， 曾国亮 - 智慧农业, 2019 - smartag.net.cn
农田作物信息的快速获取与解析是开展精准农业实践的前提和基础. 根据农作物病虫草害的实际
程度进行变量喷施和作业管理, 可减少农业生产成本, 优化作物栽培, 提高农作物产量和品质 …
程度进行变量喷施和作业管理, 可减少农业生产成本, 优化作物栽培, 提高农作物产量和品质 …
A systematic review of UAV applications for mapping neglected and underutilised crop species' spatial distribution and health
Timely, accurate spatial information on the health of neglected and underutilised crop
species (NUS) is critical for optimising their production and food and nutrition in developing …
species (NUS) is critical for optimising their production and food and nutrition in developing …
Chlorophyll estimation using multi-spectral unmanned aerial system based on machine learning techniques
Remote sensing for precision agriculture is a proven tool for efficient management of crop
inputs. High spatial and temporal resolutions are requisite for accurate and timely estimate …
inputs. High spatial and temporal resolutions are requisite for accurate and timely estimate …