[HTML][HTML] Deep learning approaches for bias correction in WRF model outputs for enhanced solar and wind energy estimation: A case study in East and West Malaysia
Accurate estimation of wind and solar energy potentials is crucial for successfully integrating
renewable energy into power grids. Traditional numerical weather prediction models, such …
renewable energy into power grids. Traditional numerical weather prediction models, such …
[HTML][HTML] Estimation of Biophysical Parameters of Forage Cactus Under Different Agricultural Systems Through Vegetation Indices and Machine Learning Using RGB …
The objective of this study was to correlate the biophysical parameters of forage cactus with
visible vegetation indices obtained by unmanned aerial vehicles (UAVs) and predict them …
visible vegetation indices obtained by unmanned aerial vehicles (UAVs) and predict them …
[HTML][HTML] U+ LSTM-F: A data-driven growth process model of rice seedlings
X Tian, W Cao, S Liu, B Zhang, J Wei, Z Ma, R Gao… - Ecological …, 2024 - Elsevier
Accurately predicting the growth status of rice seedlings and understanding their growth rate
and health status in a timely manner helps adjust the growth cycle and management …
and health status in a timely manner helps adjust the growth cycle and management …
[HTML][HTML] Modelling height to crown base using non-parametric methods for mixed forests in China
Z Zhou, H Zhang, RP Sharma, X Zhang, L Feng… - Ecological …, 2025 - Elsevier
The height to crown base (HCB) of a tree is a vital characteristic that reflects the self-thinning
ability of a tree, and it is used to determine the crown size. and predict the crown recession …
ability of a tree, and it is used to determine the crown size. and predict the crown recession …
[HTML][HTML] Ratoon rice strategy for enhanced water resource management: A simulation-based study in tropical monsoon climates
S Shiraki, N Ni, TM Cho, AK Thu, N Horikawa - Agricultural Water …, 2025 - Elsevier
Rice-ratoon rice double crop** (RR) offers a substantial reduction in labor and resource
inputs while significantly enhancing water use efficiency compared to conventional double …
inputs while significantly enhancing water use efficiency compared to conventional double …
[HTML][HTML] Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDet
J Ding, R Huang, Y Liang, X Weng, J Chen, H You - Ecological Informatics, 2025 - Elsevier
Oil palm, as an important economic crop, plays a significant role in yield estimation and
plantation management, making accurate identification and counting crucial. However, due …
plantation management, making accurate identification and counting crucial. However, due …
The quality of university educational programs on environmental and agrobiological focus in graduates' opinion
V Ivashova, L Parsieva, J Lesnykh… - BIO Web of …, 2024 - bio-conferences.org
The article presents the opinions of the of universities' graduates in the South of Russia on
the quality of the university educational programs on environmental and agrobiological …
the quality of the university educational programs on environmental and agrobiological …
Klasifikasi kualitas kelapa menggunakan algoritma random forest, xgboost dan decision tree dengan ekstraksi fitur warna, tekstur dan bentuk
AT Cahyani - repository.uinjkt.ac.id
Indonesia merupakan negara penghasil kelapa, namun proses klasifikasi kualitas kelapa
masih dilakukan secara manual sehingga membutuhkan banyak tenaga, biaya, dan waktu …
masih dilakukan secara manual sehingga membutuhkan banyak tenaga, biaya, dan waktu …