IoT-equipped and AI-enabled next generation smart agriculture: A critical review, current challenges and future trends

S Qazi, BA Khawaja, QU Farooq - Ieee Access, 2022 - ieeexplore.ieee.org
Smart agriculture techniques have recently seen widespread interest by farmers. This is
driven by several factors, which include the widespread availability of economically-priced …

Applications of remote sensing in precision agriculture: A review

RP Sishodia, RL Ray, SK Singh - Remote sensing, 2020 - mdpi.com
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 …

Remote sensing in agriculture—accomplishments, limitations, and opportunities

S Khanal, K Kc, JP Fulton, S Shearer, E Ozkan - Remote Sensing, 2020 - mdpi.com
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 …

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 …

Monitoring plant diseases and pests through remote sensing technology: A review

J Zhang, Y Huang, R Pu, P Gonzalez-Moreno… - … and Electronics in …, 2019 - Elsevier
Plant diseases and pests endanger agriculture and forestry significantly around the world.
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

B Li, X Xu, L Zhang, J Han, C Bian, G Li, J Liu… - ISPRS Journal of …, 2020 - Elsevier
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 …

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 …

Leaf disease detection using machine learning and deep learning: Review and challenges

C Sarkar, D Gupta, U Gupta, BB Hazarika - Applied Soft Computing, 2023 - Elsevier
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 …

Deep neural networks based recognition of plant diseases by leaf image classification

S Sladojevic, M Arsenovic, A Anderla… - Computational …, 2016 - Wiley Online Library
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 …

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 …