Advances in gas sensors and electronic nose technologies for agricultural cycle applications

T Seesaard, N Goel, M Kumar… - Computers and Electronics …, 2022 - Elsevier
Agricultural cycle is the annual cycle of activities for planting and harvesting. The global
warming and climate change currently cause serious impacts on the agricultural cycle …

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 …

Machine learning in precision agriculture: a survey on trends, applications and evaluations over two decades

S Condran, M Bewong, MZ Islam, L Maphosa… - IEEE …, 2022 - ieeexplore.ieee.org
Precision agriculture represents the new age of conventional agriculture. This is made
possible by the advancement of various modern technologies such as the internet of things …

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 …

Plant pest detection using an artificial nose system: A review

S Cui, P Ling, H Zhu, HM Keener - Sensors, 2018 - mdpi.com
This paper reviews artificial intelligent noses (or electronic noses) as a fast and noninvasive
approach for the diagnosis of insects and diseases that attack vegetables and fruit trees. The …

Diverse applications of electronic-nose technologies in agriculture and forestry

AD Wilson - Sensors, 2013 - mdpi.com
Electronic-nose (e-nose) instruments, derived from numerous types of aroma-sensor
technologies, have been developed for a diversity of applications in the broad fields of …

Machine learning applications to non-destructive defect detection in horticultural products

JFI Nturambirwe, UL Opara - Biosystems engineering, 2020 - Elsevier
Highlights•Defects affecting horticultural products and detection challenges are
summarised.•Machine learning's role in addressing issues of fruit defect detection is …

Detection techniques for adulterants in honey: Challenges and recent trends

KW Se, RA Wahab, SNS Yaacob… - Journal of Food …, 2019 - Elsevier
Honey is a nutritious natural sweetener from honey bee-collected nectar from a variety of
flowers. The health benefits and high value of honey, however, have motivated fraudulent …

Food adulteration detection using artificial intelligence: A systematic review

K Goyal, P Kumar, K Verma - Archives of Computational Methods in …, 2022 - Springer
Food Adulteration is a deceptive act of misleading food buyers for economic gain. It has
been a major concern due to its risk to public health, reduction of food quality or nutritional …

Potential applications of remote sensing in horticulture—A review

K Usha, B Singh - Scientia horticulturae, 2013 - Elsevier
Horticulture crops play significant role in improving the productivity of land, generating
employment, enhancing exports, improving economic conditions of the farmers and …