A systematic review of IoT solutions for smart farming

E Navarro, N Costa, A Pereira - Sensors, 2020 - mdpi.com
The world population growth is increasing the demand for food production. Furthermore, the
reduction of the workforce in rural areas and the increase in production costs are challenges …

A strategic analytics using convolutional neural networks for weed identification in sugar beet fields

B Jabir, N Falih, A Sarih… - AGRIS on-line Papers in …, 2021 - ageconsearch.umn.edu
Researchers in precision agriculture regularly use deep learning that will help growers and
farmers control and monitor crops during the growing season; these tools help to extract …

[HTML][HTML] An APSIM-powered framework for post-rainy sorghum-system design in India

S Ronanki, J Pavlík, J Masner, J Jarolímek… - Field Crops …, 2022 - Elsevier
Sorghum contributes to the livelihoods of millions of food-insecure households in semi-arid
agri-systems. Annual production widely fluctuates throughout India due to erratic rainfall and …

Proposal of architecture for IoT solution for monitoring and management of plantations

EM Navarro - 2021 - iconline.ipleiria.pt
The world population growth is increasing the demand for food production. Furthermore, the
reduction of the workforce in rural areas and the increase in production costs are challenges …

Proposal of architecture for IoT solution for monitoring and management of plantations

E de Moraes Navarro - 2020 - search.proquest.com
The world population growth is increasing the demand for food production. Furthermore, the
reduction of the workforce in rural areas and the increase in production costs are challenges …

[PDF][PDF] Support Tools for Agricultural Production Simulation Processing.

J Pavlik, J Vanek, E Silerova, M Stoces, V Ocenasek - HAICTA, 2020 - ceur-ws.org
The APSIM software has proven to be extremely valuable decision support tool when it
comes to optimizing agricultural management practices in order to maximize yield …