A review of advanced technologies and development for hyperspectral-based plant disease detection in the past three decades

N Zhang, G Yang, Y Pan, X Yang, L Chen, C Zhao - Remote Sensing, 2020 - mdpi.com
The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …

[HTML][HTML] Crop yield prediction using multi sensors remote sensing

AM Ali, M Abouelghar, AA Belal, N Saleh… - The Egyptian Journal of …, 2022 - Elsevier
Pre-harvest prediction of a crop yield may prevent a disastrous situation and help decision-
makers to apply more reliable and accurate strategies regarding food security. Remote …

An in-field automatic wheat disease diagnosis system

J Lu, J Hu, G Zhao, F Mei, C Zhang - Computers and electronics in …, 2017 - Elsevier
Crop diseases are responsible for the major production reduction and economic losses in
agricultural industry worldwide. Monitoring for health status of crops is critical to control the …

A robust deep attention dense convolutional neural network for plant leaf disease identification and classification from smart phone captured real world images

A Pandey, K Jain - Ecological Informatics, 2022 - Elsevier
Plant diseases cause significant food loss and hence economic loss around the globe.
Therefore, automatic plant disease identification is a primary task to take proper medications …

Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review

S Sankaran, LR Khot, CZ Espinoza… - European journal of …, 2015 - Elsevier
Global plant genetics research efforts have focused on developing high yielding, stress
tolerant, and disease resistant row and field crop varieties that are more efficient in their use …

Past and future of plant stress detection: an overview from remote sensing to positron emission tomography

A Galieni, N D'Ascenzo, F Stagnari… - Frontiers in Plant …, 2021 - frontiersin.org
Plant stress detection is considered one of the most critical areas for the improvement of
crop yield in the compelling worldwide scenario, dictated by both the climate change and the …

A review of advanced techniques for detecting plant diseases

S Sankaran, A Mishra, R Ehsani, C Davis - Computers and electronics in …, 2010 - Elsevier
Diseases in plants cause major production and economic losses in agricultural industry
worldwide. Monitoring of health and detection of diseases in plants and trees is critical for …

Fungal disease detection in plants: Traditional assays, novel diagnostic techniques and biosensors

M Ray, A Ray, S Dash, A Mishra, KG Achary… - Biosensors and …, 2017 - Elsevier
Fungal diseases in commercially important plants results in a significant reduction in both
quality and yield, often leading to the loss of an entire plant. In order to minimize the losses …

Non-destructive techniques of detecting plant diseases: A review

MM Ali, NA Bachik, NA Muhadi, TNT Yusof… - … and Molecular Plant …, 2019 - Elsevier
Plant diseases contribute to significant economic and post-harvest losses in agricultural
production sector all over the world. Early detection of plant diseases and pathogens is …

Development and applications of portable biosensors

B Srinivasan, S Tung - Journal of laboratory automation, 2015 - journals.sagepub.com
The significance of microfluidics-based and microelectromechanical systems–based
biosensors has been widely acknowledged, and many reviews have explored their potential …