IoT-equipped and AI-enabled next generation smart agriculture: A critical review, current challenges and future trends
Smart agriculture techniques have recently seen widespread interest by farmers. This is
driven by several factors, which include the widespread availability of economically-priced …
driven by several factors, which include the widespread availability of economically-priced …
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 …
Remote sensing in agriculture—accomplishments, limitations, and opportunities
Remote sensing (RS) technologies provide a diagnostic tool that can serve as an early
warning system, allowing the agricultural community to intervene early on to counter …
warning system, allowing the agricultural community to intervene early on to counter …
Real-time detection of apple leaf diseases using deep learning approach based on improved convolutional neural networks
P Jiang, Y Chen, B Liu, D He, C Liang - Ieee Access, 2019 - ieeexplore.ieee.org
Alternaria leaf spot, Brown spot, Mosaic, Grey spot, and Rust are five common types of apple
leaf diseases that severely affect apple yield. However, the existing research lacks an …
leaf diseases that severely affect apple yield. However, the existing research lacks an …
Monitoring plant diseases and pests through remote sensing technology: A review
Plant diseases and pests endanger agriculture and forestry significantly around the world.
The implementation of non-contact, highly-efficient, and affordable methods for detecting …
The implementation of non-contact, highly-efficient, and affordable methods for detecting …
Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging
Rapid and accurate biomass and yield estimation facilitates efficient plant phenotyping and
site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to …
site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to …
Significant remote sensing vegetation indices: A review of developments and applications
J Xue, B Su - Journal of sensors, 2017 - Wiley Online Library
Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …
Leaf disease detection using machine learning and deep learning: Review and challenges
Identification of leaf disorder plays an important role in the economic prosperity of any
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
country. Many parts of a plant can be infected by a virus, fungal, bacteria, and other …
Deep neural networks based recognition of plant diseases by leaf image classification
The latest generation of convolutional neural networks (CNNs) has achieved impressive
results in the field of image classification. This paper is concerned with a new approach to …
results in the field of image classification. This paper is concerned with a new approach to …
Grape leaf disease identification using improved deep convolutional neural networks
B Liu, Z Ding, L Tian, D He, S Li, H Wang - Frontiers in Plant Science, 2020 - frontiersin.org
Anthracnose, brown spot, mites, black rot, downy mildew, and leaf blight are six common
grape leaf pests and diseases, which cause severe economic losses to the grape industry …
grape leaf pests and diseases, which cause severe economic losses to the grape industry …