Maize kernel abortion recognition and classification using binary classification machine learning algorithms and deep convolutional neural networks

L Chipindu, W Mupangwa, J Mtsilizah, I Nyagumbo… - AI, 2020 - mdpi.com
Maize kernel traits such as kernel length, kernel width, and kernel number determine the
total kernel weight and, consequently, maize yield. Therefore, the measurement of kernel …

Application of an unmanned aerial system for monitoring paddy productivity using the GRAMI-rice model

S Jeong, J Ko, J Choi, W Xue… - International Journal of …, 2018 - Taylor & Francis
Recent developments in unmanned aerial system (UAS) require an urgent introduction to
monitoring technologies of crop diagnostic information because of their advantage in …

[HTML][HTML] Crop data retrieval using earth observation data to support agricultural water management

J Rolim, A Navarro, P Vilar, C Saraiva… - Engenharia …, 2019 - SciELO Brasil
Accurate crop data are essential for reliable irrigation water requirements (IWR) calculations,
which can be acquired during the crop growth season for a given region using earth …

[HTML][HTML] COMPARATIVE ASSESSMENT BETWEEN PER-PIXEL AND OBJECT-ORIENTED FOR MAPPING LAND COVER AND USE1

VHR Prudente, BB Silva, JA Johann, E Mercante… - Engenharia …, 2017 - SciELO Brasil
The traditional per-pixel classification methods consider only spectral information, and may
be limited. Object-based classifiers, however, also consider shape and texture, firstly …

[HTML][HTML] Uso de imagens do sensor orbital modis na estimação de datas do ciclo de desenvolvimento da cultura da soja para o estado do Paraná–Brasil

JA Johann, WR Becker, MA Uribe-Opazo… - Engenharia …, 2016 - SciELO Brasil
RESUMO O Estado do Paraná caracteriza-se por uma grande variabilidade de épocas de
semeadura (DS) e, consequentemente, pelo desenvolvimento máximo vegetativo (DMDV) …

Algoritmo para mapeamento dos usos do solo e cobertura vegetal a partir do uso do NDVI: um estudo aplicado no nordeste de Mato Grosso Do Sul

JR Mantovani, LRM Lelis - Cerrados, 2023 - dialnet.unirioja.es
A methodology is proposed that uses mathematical concepts of the theory of cluster
formation, the K-means, to automatically obtain the clusters of the NDVI values, to determine …

Agroclimatic and spectral regionalization for soybean in different agricultural settings in the state of Paraná, Brazil

PP Gasparin, EM da Silva, WR Becker… - The Journal of …, 2024 - cambridge.org
Information related to the climate, sowing time, harvest, and crop development is essential
for defining appropriate strategies for agricultural activities, which helps both producers and …

Artificial neural networks and data mining techniques for summer crop discrimination: a new approach

CC Júnior, RC Shemmer, JA Johann… - Canadian Journal of …, 2019 - Taylor & Francis
The objective of this research was to distinguish and estimate cultivated areas of soybean
and corn in Paraná State, Brazil, in the 2014/2015 crop season. The main obstacle in …

[HTML][HTML] Spatial correlation of soybean productivity, enhanced vegetation index (EVI) and agrometeorological variables

DM Grzegozewski, MA Uribe-Opazo, JA Johann… - Engenharia …, 2017 - SciELO Brasil
The survey information from growing regions, the interaction with the vegetation index and
climatic variables is of great importance in the search for soybean productivity increase …

[HTML][HTML] DATA MINING FOR THE ASSESSMENT OF MANAGEMENT AREAS IN PRECISION AGRICULTURE1

EE Schemberger, FS Fontana, JA Johann… - Engenharia …, 2017 - SciELO Brasil
Precision Agriculture (PA) uses technologies with the aim of increasing productivity and
reducing the environmental impact by means of site-specific application of agricultural …