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Open AccessJournal ArticleDOI

Estimates of plant density of wheat crops at emergence from very low altitude UAV imagery.

Xiuliang Jin, +4 more
- 01 Sep 2017 - 
- Vol. 198, pp 105-114
TLDR
In this article, a high resolution image taken from a UAV at very low altitude with application to high throughput phenotyping in field conditions was used to estimate wheat plant density at the emergence stage.
About: 
This article is published in Remote Sensing of Environment.The article was published on 2017-09-01 and is currently open access. It has received 285 citations till now. The article focuses on the topics: Altitude.

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Journal ArticleDOI

Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk

Muhammad Ayaz, +4 more
- 01 Aug 2019 - 
TL;DR: The potential of wireless sensors and IoT in agriculture, as well as the challenges expected to be faced when integrating this technology with the traditional farming practices are highlighted.
Journal ArticleDOI

Internet of Things (IoT) and Agricultural Unmanned Aerial Vehicles (UAVs) in smart farming: A comprehensive review

Achilles D. Boursianis, +8 more
TL;DR: The conclusion is that IoT and UAV are two of the most important technologies that transform traditional cultivation practices into a new perspective of intelligence in precision agriculture.
Journal ArticleDOI

A review of data assimilation of remote sensing and crop models

Xiuliang Jin, +6 more
- 01 Jan 2018 - 
TL;DR: In this article, a detailed overview of the latest developments and applications of crop models, remote sensing techniques, and data assimilation methods in the growth status monitoring and yield estimation of crops is presented.
Journal ArticleDOI

Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images

Qi Yang, +4 more
- 01 Apr 2019 - 
TL;DR: An efficient convolutional neural network architecture was proposed to learn the important features related to rice grain yield from low-altitude remotely sensed imagery and showed that the CNNs trained by RGB and multispectral datasets perform much better than VIs-based regression model for ricegrain yield estimation at the ripening stage.
Journal ArticleDOI

Ear density estimation from high resolution RGB imagery using deep learning technique

Simon Madec, +7 more
- 15 Jan 2019 - 
TL;DR: Investigation of the potential of convolutional neural networks to provide accurate ear density using nadir high spatial resolution RGB images showed high and similar heritability, demonstrating that ear density derived from high resolution RGB imagery could replace the traditional counting method.
References
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Book

The Nature of Statistical Learning Theory

Vladimir Vapnik
TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
Journal ArticleDOI

A threshold selection method from gray level histograms

Nobuyuki Otsu
- 01 Jan 1979 - 
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Particle swarm optimization

James Kennedy, +1 more
- 01 Jan 1995 - 
TL;DR: A snapshot of particle swarming from the authors’ perspective, including variations in the algorithm, current and ongoing research, applications and open problems, is included.
Book

Computer and Robot Vision

Robert M. Haralock, +1 more
TL;DR: This two-volume set is an authoritative, comprehensive, modern work on computer vision that covers all of the different areas of vision with a balanced and unified approach.
Journal ArticleDOI

Some Comments on the Evaluation of Model Performance

Cort J. Willmott
- 01 Nov 1982 - 
TL;DR: In this article, it is suggested that the correlation between model-predicted and observed data, commonly described by Pearson's productmoment correlation coefficient, is an insufficient and often misleading measure of accuracy, and a complement of difference and summary univariate indices is presented as the nucleus of a more informative, albeit fundamentally descriptive, approach to model evaluation.
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Frequently Asked Questions (5)
Q1. What is the way to control aphids?

bottom-up regulation has to be 35 devised as a long-term strategy, which could start by choosing36a cultivar enabling genetic avoidance or developing genetic 37resistance. 

20 Firstly, it was found that most studies focus on top-down pro21 cesses, namely on conservation biological control aiming to 22 preserve existing populations of natural enemies: predators, 23 parasitoids and nematodes. 

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10.1016/j.rse.2017.06.007. hal-01578842U N C O R R EC TE D PR O O F1 27 Karsten Mody2 & Marie-Odile Jordan1 811 Abstract Apple and peach orchards are chemical-intensive 12 systems, and aphids are one of their major pests. 

Alternativemethods48Contents 491 Introduction 502 Aphid species infesting apple and peach orchards 513 Bottom-up and top-down control methods at different aphid 52life cycle phases 533.1 Egg hatching 543.1.1 Bottom-up: genetic avoidance 553.1.2 Top-down 563.2 Parthenogenetic reproduction 573.2.1 Bottom-up 583.2.1.1 Genetic resistance 593.2.1.2