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 …

[HTML][HTML] Current status and future trends of precision agricultural aviation technologies

Y Lan, C Shengde, BK Fritz - International Journal of Agricultural and …, 2017 - ijabe.org
Modern technologies and information tools can be used to maximize agricultural aviation
productivity allowing for precision application of agrochemical products. This paper reviews …

Intertwined impacts of urbanization and land cover change on urban climate and agriculture in Aurangabad city (MS), India using google earth engine platform

CB Pande, KN Moharir, AM Varade, HG Abdo… - Journal of Cleaner …, 2023 - Elsevier
Devastation possibility of disenfranchising poor people of emerging countries like India is
due to urban climate change. Hence, an urgent and efficient urban planning strategy shall …

Growing status observation for oil palm trees using Unmanned Aerial Vehicle (UAV) images

J Zheng, H Fu, W Li, W Wu, L Yu, S Yuan… - ISPRS Journal of …, 2021 - Elsevier
For both the positive economic benefit and the negative ecological impact of the rapid
expansion of oil palm plantations in tropical developing countries, it is significant to achieve …

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 …

Land Surface Temperature Product Validation Best Practice Protocol Version 1.0-October, 2017

P Guillevic, F Göttsche, J Nickeson, G Hulley, D Ghent… - 2017 - ntrs.nasa.gov
The Global Climate Observing System (GCOS) has specified the need to systematically
generate andvalidate Land Surface Temperature (LST) products. This document provides …

Downscaling MODIS land surface temperature over a heterogeneous area: An investigation of machine learning techniques, feature selection, and impacts of mixed …

H Ebrahimy, M Azadbakht - Computers & geosciences, 2019 - Elsevier
Abstract Remotely sensed Land Surface Temperature (LST) is of paramount importance in
numerous environmental applications. Although, coarse spatial resolution sensors provide …

[HTML][HTML] Research on the optimal allocation of agricultural water and soil resources in the Heihe River Basin based on SWAT and intelligent optimization

Z Zhang, Q Wang, Q Guan, X Xiao, J Mi, S Lv - Agricultural Water …, 2023 - Elsevier
In the context of global climate change, changes in precipitation and temperature conditions,
especially the increasing frequency of extreme climate events, have a severe impact on …

A Novel Object Detection Model Based on Faster R-CNN for Spodoptera frugiperda According to Feeding Trace of Corn Leaves

L Du, Y Sun, S Chen, J Feng, Y Zhao, Z Yan, X Zhang… - Agriculture, 2022 - mdpi.com
The conventional method for crop insect detection based on visual judgment of the field is
time-consuming, laborious, subjective, and error prone. The early detection and accurate …

Remote sensing monitoring of rice diseases and pests from different data sources: A review

Q Zheng, W Huang, Q Xia, Y Dong, H Ye, H Jiang… - Agronomy, 2023 - mdpi.com
Rice is an important food crop in China, and diseases and pests are the main factors
threatening its safety, ecology, and efficient production. The development of remote sensing …