Sensing and automation technologies for ornamental nursery crop production: current status and future prospects

MS Mahmud, A Zahid, AK Das - Sensors, 2023 - mdpi.com
The ornamental crop industry is an important contributor to the economy in the United
States. The industry has been facing challenges due to continuously increasing labor and …

Precision agriculture digital technologies for sustainable fungal disease management of ornamental plants

S Traversari, S Cacini, A Galieni, B Nesi, N Nicastro… - Sustainability, 2021 - mdpi.com
Ornamental plant production constitutes an important sector of the horticultural industry
worldwide and fungal infections, that dramatically affect the aesthetic quality of plants, can …

Development of an artificial cloud lighting condition system using machine vision for strawberry powdery mildew disease detection

MS Mahmud, QU Zaman, TJ Esau, GW Price… - … and electronics in …, 2019 - Elsevier
Strawberry plants have been facing a significant proportion of diseases during cultivation,
scattered throughout the field, emphasizing the need for proper diseases management …

Early powdery mildew detection system for application in greenhouse automation

P Wspanialy, M Moussa - Computers and Electronics in Agriculture, 2016 - Elsevier
Early disease detection in greenhouses is an important component of an integrated
management strategy. An automated process can be more accurate and cost effective …

Un método preciso para medir severidad de roya de la hoja (Puccinia triticina Eriksson) en trigo

CP Sauceda-Acosta, GA Lugo-García… - Revista fitotecnia …, 2015 - revfitotecnia.mx
La estimación visual de la severidad de una enfermedad es subjetiva y no repetible, por lo
que se requiere investigar métodos alternos que midan con exactitud la superficie dañada …

IoT Detection System for Mildew Disease in Roses Using Neural Networks and Image Analysis

L Torres, L Romero, E Aguirre, R Ferro - IJIMAI, 2023 - dialnet.unirioja.es
Artificial intelligence presents different approaches, one of these is the use of neural network
algorithms, a particular context is the farming sector and these algorithms support the …

A fungus detection system for greenhouses using wireless visual sensor networks and machine learning

A Ali, HS Hassanein - 2019 IEEE Globecom Workshops (GC …, 2019 - ieeexplore.ieee.org
Greenhouses are proliferating across Canada. Greenhouse crop production requires
considerable attention. The only way to maintain the production growth is by controlling the …

[PDF][PDF] Application of color sensor programming with LEGO-Mindstorms NXT 2.0 to recreate a simplistic plague detection scenario

DV Ariza, AM Palacio, IP Aragón, EA Logreira… - Scientia et …, 2017 - dialnet.unirioja.es
Una tarea práctica diseñada bajo el enfoque de aprendizaje por proyecto tratando de
ofrecer un tema motivador para estudiantes de diversos programas de pregrado de …

Parámetros de caracterización en zonas urbanas para detectar residuos sólidos mediante visión artificial

CZD Garcia, DAC Carvajal… - … e Innovación en …, 2023 - revistas.unisimon.edu.co
Objetivo: Determinar las condiciones de adquisición de imágenes en zonas urbanas para
detectar residuos sólidos mediante técnicas de visión artificial. Metodología: Se …

Design of a position control for a cutting system of a maize-husking machine

E Bernabe, E Romantchik, JG Cebada… - IEEE Latin America …, 2018 - ieeexplore.ieee.org
Designing a maize (Zea mays L.) husking machine requires knowing the geometric
properties of the fruit, as they form the input data for evaluating the mathematical models …