[HTML][HTML] Effects of LED lighting environments on lettuce (Lactuca sativa L.) in PFAL systems–A review

IF Boros, G Székely, L Balázs, L Csambalik, L Sipos - Scientia Horticulturae, 2023 - Elsevier
Lettuce is one of the most important crops of plant factories with artificial lighting (PFALs)
due to their small size, fast growth rate, low energy demand and high marketing value. High …

Tomato leaf disease detection using deep learning techniques

S Ashok, G Kishore, V Rajesh… - 2020 5th …, 2020 - ieeexplore.ieee.org
Early Detection of Plant Leaf Detection is a major necessity in a growing agricultural
economy like India. Not only as an agricultural economy but also with a large amount of …

Automated image capturing system for deep learning-based tomato plant leaf disease detection and recognition

RG De Luna, EP Dadios… - TENCON 2018-2018 IEEE …, 2018 - ieeexplore.ieee.org
Smart farming system using necessary infrastructure is an innovative technology that helps
improve the quality and quantity of agricultural production in the country including tomato …

Artificial intelligence approaches to predict growth, harvest day, and quality of lettuce (Lactuca sativa L.) in a IoT-enabled greenhouse system

CL Chang, SC Chung, WL Fu, CC Huang - Biosystems Engineering, 2021 - Elsevier
Highlights•Collect data during commercial production of greenhouse lettuce based on
IoT.•Use artificial intelligence approach to predict growth parameters in real …

Mathematical modeling to estimate photosynthesis: A state of the art

LC García-Rodríguez, J Prado-Olivarez… - Applied Sciences, 2022 - mdpi.com
Photosynthesis is a process that indicates the productivity of crops. The estimation of this
variable can be achieved through methods based on mathematical models. Mathematical …

Development of Tomato Leaf Disease Prediction System to the Farmers by using Artificial Intelligent Network

KM Sudar, P Nagaraj, B Prakash… - … and Control Systems …, 2022 - ieeexplore.ieee.org
Tomato leaf diseases have a big impact on yield and quality. The early-stage analysis and
categorization of tomato leaf diseases based on past knowledge may help to limit pathogen …

Estimation of the evapotranspiration using ANFIS algorithm for agricultural production in greenhouse

JA Hernández-Salazar… - … on Applied Science …, 2019 - ieeexplore.ieee.org
In this work it is showed fuzzy model, trained with ANFIS algorithm, to estimate water
evapotranspiration (ET) of a tomato plant, as a witness in the production in a greenhouse …

Design of a nutrient film technique hydroponics system with fuzzy logic control

JCV Puno, JJI Haban, JD Alejandrino… - 2020 IEEE REGION …, 2020 - ieeexplore.ieee.org
This study presents the design and development of a nutrient film technique hydroponics
system for lettuce. Hydroponics is a method of cultivating crops with the use of water with …

Hybrid genetic programming and multiverse-based optimization of pre-harvest growth factors of aquaponic lettuce based on chlorophyll concentration

R Concepcion, E Dadios, A Bandala, J Cuello… - 2021 - repository.arizona.edu
Optimizing photosynthesis is vital in maintaining quality farm produce in the agricultural food
production sector. The nonlinear behavior of the interaction of crop pre-harvest growth …

Agricultural plant disease detection and identification

A Dubey - International Journal of Electrical Engineering and …, 2020 - papers.ssrn.com
Since agricultural crops farming takes considerations from various variables such as
environment, soil and sunlight, existence of diseases cannot be avoided. The main objective …