Can yield prediction be fully digitilized? A systematic review

N Darra, E Anastasiou, O Kriezi, E Lazarou, D Kalivas… - Agronomy, 2023 - mdpi.com
Going beyond previous work, this paper presents a systematic literature review that explores
the deployment of satellites, drones, and ground-based sensors for yield prediction in …

A systematic review of the use of Deep Learning in Satellite Imagery for Agriculture

B Victor, A Nibali, Z He - IEEE Journal of Selected Topics in …, 2024 - ieeexplore.ieee.org
Agricultural research is essential for increasing food production to meet the needs of a
rapidly growing human population. Collecting large quantities of agricultural data helps to …

[HTML][HTML] UAV-based remote sensing using visible and multispectral indices for the estimation of vegetation cover in an oasis of a desert

N Wang, Y Guo, X Wei, M Zhou, H Wang, Y Bai - Ecological Indicators, 2022 - Elsevier
Natural vegetation is an important indicator for the maintenance of symbiosis in an oasis in
extremely arid zones. Unmanned aerial vehicles have advantages of high resolution and …

A novel CNN gap layer for growth prediction of palm tree plantlings

TA Kumar, R Rajmohan, S Adeola Ajagbe, T Gaber… - Plos one, 2023 - journals.plos.org
Monitoring palm tree seedlings and plantlings presents a formidable challenge because of
the microscopic size of these organisms and the absence of distinguishing morphological …

Pemanfaatan Model Neural Network Dalam Generasi Baru Pertanian Presisi Di Perkebunan Kelapa Sawit

M Syarovy, AP Nugroho, L Sutiarso - WARTA Pusat Penelitian …, 2023 - warta.iopri.org
Era revolusi industri 4.0 dengan penggunaan Internet of Thing, big data, dan Artificial
Intelligence mendorong pertanian presisi ke tingkat yang lebih lanjut (next generation …

[HTML][HTML] Impact of Industry 4.0 Technologies on the Oil Palm Industry: A Literature Review

MZM Akmal, J Ooi, WPQ Ng, BS How, HL Lam… - Smart Agricultural …, 2024 - Elsevier
This study presents a review of the impacts of IR4 technologies on the oil palm industry,
focusing on their applications in enhancing productivity, sustainability, and socio-economic …

Potential Capacity of Candida wangnamkhiaoensis to Produce Oleic Acid

A Pérez-Rodríguez, CM Flores-Ortiz… - Fermentation, 2023 - mdpi.com
Oleic acid is increasingly required in many industries, causing the indiscriminate extension
of land for the cultivation of certain agricultural products to extract their oil. The current …

[PDF][PDF] A STUDY ON OIL PALM CLASSIFICATION FOR RANONG PROVINCE USING DATA FUSION AND MACHINE LEARNING ALGORITHMS.

M WORACHAIRUNGREUNG… - Geographia …, 2023 - technicalgeography.org
Oil palm is a vital force in driving the energy business. In 2020, Thailand had 9,954.27 sq.
km.(around 6,220,799 Rai) of oil palm plantations, ranking third in the world after Indonesia …

[HTML][HTML] Predicting oil palm yield using a comprehensive agronomy dataset and 17 machine learning and deep learning models

EJ Jamshidi, Y Yusup, CW Hooy, MA Kamaruddin… - Ecological …, 2024 - Elsevier
The rising global demand for oil palm emphasizes the importance of accurate oil palm yield
predictions. This predictive capability is critical for effective crop management, supply chain …

Advanced Technologies and Artificial Intelligence in Agriculture

A Uzhinskiy - AppliedMath, 2023 - mdpi.com
According to the Food and Agriculture Organization, the world's food production needs to
increase by 70 percent by 2050 to feed the growing population. However, the EU …