Towards leveraging the role of machine learning and artificial intelligence in precision agriculture and smart farming

TA Shaikh, T Rasool, FR Lone - Computers and Electronics in Agriculture, 2022 - Elsevier
The digitalization of data has resulted in a data tsunami in practically every industry of data-
driven enterprise. Furthermore, man-to-machine (M2M) digital data handling has …

Machine learning for smart agriculture and precision farming: towards making the fields talk

TA Shaikh, WA Mir, T Rasool, S Sofi - Archives of Computational Methods …, 2022 - Springer
In almost every sector, data-driven business, the digitization of the data has generated a
data tsunami. In addition, man-to-machine digital data handling has magnified the …

Application of smart techniques, internet of things and data mining for resource use efficient and sustainable crop production

A Ali, T Hussain, N Tantashutikun, N Hussain… - Agriculture, 2023 - mdpi.com
Technological advancements have led to an increased use of the internet of things (IoT) to
enhance the resource use efficiency, productivity, and cost-effectiveness of agricultural …

A survey on image-based insect classification

C Martineau, D Conte, R Raveaux, I Arnault… - Pattern Recognition, 2017 - Elsevier
Entomology has had many applications in many biological domains (ie insect counting as a
biodiversity index). To meet a growing biological demand and to compensate a decreasing …

Automatic identification of tool wear based on convolutional neural network in face milling process

X Wu, Y Liu, X Zhou, A Mou - Sensors, 2019 - mdpi.com
Monitoring of tool wear in machining process has found its importance to predict tool life,
reduce equipment downtime, and tool costs. Traditional visual methods require expert …

A comprehensive review of Data Mining techniques in smart agriculture

HA Issad, R Aoudjit, JJPC Rodrigues - Engineering in Agriculture …, 2019 - jstage.jst.go.jp
Agriculture remains a vital sector for most countries. It presents the main source of food for
the population of the world. However, it faces a big challenge: producing more and better …

Wireless sensor networks in agriculture through machine learning: A survey

MM Rahaman, M Azharuddin - Computers and Electronics in Agriculture, 2022 - Elsevier
This survey paper describes the concept of Wireless Sensor Networks (WSNs), Machine
Learning (ML) and their applications on various fields of smart agriculture. Here we first …

Citrus pests and diseases recognition model using weakly dense connected convolution network

S Xing, M Lee, K Lee - Sensors, 2019 - mdpi.com
Pests and diseases can cause severe damage to citrus fruits. Farmers used to rely on
experienced experts to recognize them, which is a time consuming and costly process. With …

Rice blast recognition based on principal component analysis and neural network

M Xiao, Y Ma, Z Feng, Z Deng, S Hou, L Shu… - … and electronics in …, 2018 - Elsevier
Based on principal component analysis and back propagation neural network (PCA-BP), a
rice blast recognition method was proposed to solve the problems of low accuracy …

Selection for high quality pepper seeds by machine vision and classifiers

K TU, L LI, L YANG, J WANG, SUN Qun - Journal of Integrative Agriculture, 2018 - Elsevier
This research aimed to improve selection of pepper seeds for separating high-quality seeds
from low-quality seeds. Past research has shown that seed vigor is significantly related to …