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 …

Computer vision, IoT and data fusion for crop disease detection using machine learning: A survey and ongoing research

M Ouhami, A Hafiane, Y Es-Saady, M El Hajji… - Remote Sensing, 2021 - mdpi.com
Crop diseases constitute a serious issue in agriculture, affecting both quality and quantity of
agriculture production. Disease control has been a research object in many scientific and …

New spectral index for detecting wheat yellow rust using Sentinel-2 multispectral imagery

Q Zheng, W Huang, X Cui, Y Shi, L Liu - Sensors, 2018 - mdpi.com
Yellow rust is one of the most destructive diseases for winter wheat and has led to a
significant decrease in winter wheat quality and yield. Identifying and monitoring yellow rust …

Identification of soybean foliar diseases using unmanned aerial vehicle images

EC Tetila, BB Machado, NA Belete… - … and remote sensing …, 2017 - ieeexplore.ieee.org
Soybean has been the main Brazilian agricultural commodity, contributing substantially to
the country's trade balance. However, foliar diseases are the key factor that can undermine …

Discrimination between abiotic and biotic drought stress in tomatoes using hyperspectral imaging

N Susič, U Žibrat, S Širca, P Strajnar, J Razinger… - Sensors and actuators B …, 2018 - Elsevier
Crop plants are subjected to various biotic and abiotic stresses. Both root-knot nematodes
(biotic stress) and water deficiency (abiotic stress) lead to similar drought symptoms in the …

A comprehensive survey on leaf disease identification & classification

M Bhagat, D Kumar - Multimedia Tools and Applications, 2022 - Springer
This paper presents survey on various techniques used to classify plants and its disease.
Classification is concerned with classifying each sample into different classes. Classification …

Soybean cyst nematode detection and management: a review

Y Arjoune, N Sugunaraj, S Peri, SV Nair, A Skurdal… - Plant Methods, 2022 - Springer
Soybeans play a key role in global food security. US soybean yields, which comprise 32% of
the total soybeans planted in the world, continue to experience unprecedented grain loss …

Identification of wheat yellow rust using optimal three-band spectral indices in different growth stages

Q Zheng, W Huang, X Cui, Y Dong, Y Shi, H Ma, L Liu - Sensors, 2018 - mdpi.com
Yellow rust, a widely known destructive wheat disease, affects wheat quality and causes
large economic losses in wheat production. Hyperspectral remote sensing has shown …

A disease index for efficiently detecting wheat fusarium head blight using sentinel-2 multispectral imagery

L Liu, Y Dong, W Huang, X Du, B Ren, L Huang… - IEEE …, 2020 - ieeexplore.ieee.org
Rapid, non-destructive detection of wheat Fusarium head blight (FHB) is an important tool
for disease control. Red-edge (RE) is a prominent spectral feature for determining crop …

Evaluating the performance of spectral features and multivariate analysis tools to detect laurel wilt disease and nutritional deficiency in avocado

J Abdulridha, Y Ampatzidis, R Ehsani… - … and electronics in …, 2018 - Elsevier
Laurel wilt (Lw) disease is an exotic and lethal disease that can kill laurel family trees very
fast. It is vectored by the redbay ambrosia beetle that prefers to live and lay eggs inside …