[HTML][HTML] Red, blue or mix: choice of optimal light qualities for enhanced plant growth and development through in silico analysis

AMH Chan, ML Pay, J Christensen, F He… - in silico …, 2024 - academic.oup.com
In smart greenhouse farming, the impact of light qualities on plant growth and development
is crucial but lacks systematic identification of optimal combinations. This study addresses …

A Comparative Water Footprint Analysis of Conventional versus Organic Citrus Production: A Case Study in Spain

A Imbernón-Mulero, V Martínez-Alvarez… - Agriculture, 2024 - mdpi.com
Spain is the leading citrus producer in the European Union, with the Segura River Basin in
southeastern Spain playing a crucial role in this industry. However, the impact of local …

Predicting Crop on the basis of Climatic Parameters using Machine Learning Approaches

HS Negi, SC Dimri, B Kumar… - … , and Intelligent Systems …, 2022 - ieeexplore.ieee.org
India as a country is largely dependent on agriculture. New techniques are being
implemented by government and farmers for increasing crop production and crop yield. AI …

[HTML][HTML] A Comprehensive Review on Smart and Sustainable Agriculture Using IoT Technologies

V Kumar, KV Sharma, N Kedam, A Patel… - Smart Agricultural …, 2024 - Elsevier
The article provides a comprehensive review of the use of the Internet of Things (IoT) in
agriculture, along with its advantages and disadvantages. However, it's important to …

Wheat disease detection for yield management using IoT and deep learning techniques

S Akbar, KT Ahmad, MK Abid, N Aslam - VFAST Transactions on Software …, 2022 - vfast.org
Our economy is mostly based on agriculture. One of the difficult problems in the agriculture
sector is crop yield predictions. Crop yield prediction using a machine learning algorithm …

Evaluation of a deep learning approach for predicting the fraction of transpirable soil water in vineyards

K Alibabaei, PD Gaspar, RM Campos, GC Rodrigues… - Applied Sciences, 2023 - mdpi.com
As agriculture has an increasing impact on the environment, new techniques can help meet
future food needs while maintaining or reducing the environmental footprint. Those …

Smart farming ingredients: IoT sensors, software, connectivity, data analytics, robots, drones, GIS-GPS

JB Prajapati, R Barad, MB Patel, K Saini… - … and Robotics for …, 2023 - igi-global.com
Smart farming uses information and communication technologies in various fields of
agriculture. It refers to the use of information and data management technologies in …

Application of smart farming technologies in sustainable agriculture development: A comprehensive review on present status and future advancements

U Debangshi, A Sadhukhan… - … of Environment and …, 2023 - journal.article2publish.com
The pressure on agricultural food production to produce high-quality and sustainable food
has increased dramatically as a result of global urbanization, population growth and climate …

Secured and deterministic closed-loop IoT system architecture for sensor and Actuator Networks

HS Kim, YJ Park, SJ Kang - Sensors, 2022 - mdpi.com
Sensors, actuators, and wireless communication technologies have developed significantly.
Consequently, closed-loop systems that can be monitored and controlled by devices in IoT …

Securing iot services based on security requirement categories

K Slovenec, M Vuković, D Salopek… - 2022 International …, 2022 - ieeexplore.ieee.org
Internet of things (IoT) is now a well-established term and almost every imaginable field of
human work has, or can have, some application of IoT. The vast applications of IoT are …