[HTML][HTML] A data-driven bibliometric review on precision irrigation

S Violino, S Figorilli, M Ferrigno, V Manganiello… - Smart Agricultural …, 2023 - Elsevier
In recent years, there has been an increasing demand for water to meet the world's growing
population. At the same time, increasing drought phenomena reduce water availability. At …

A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation

M Cheng, D Yin, W Wu, N Cui, C Nie, L Shi… - … Journal of Remote …, 2023 - Taylor & Francis
The scarcity of water resources is one of the biggest problems restricting food production.
Crop water productivity (CWP) is a practical and quantifiable indicator for characterizing …

Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China

M Cheng, J Penuelas, MF McCabe, C Atzberger… - Agricultural and Forest …, 2022 - Elsevier
The accurate and timely prediction of crop yield at a large scale is important for food security
and the development of agricultural policy. An adaptable and robust method for estimating …

Evaluating soil moisture content under maize coverage using UAV multimodal data by machine learning algorithms

Y Zhang, W Han, H Zhang, X Niu, G Shao - Journal of Hydrology, 2023 - Elsevier
Timely and accurate estimation of soil moisture content (SMC) is essential for precise
irrigation management at the farm scale. Unmanned aerial vehicle (UAV) remote sensing …

Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning

Y Ji, R Liu, Y Xiao, Y Cui, Z Chen, X Zong, T Yang - Precision Agriculture, 2023 - Springer
Accurately and economically estimated crop above-ground biomass (AGB) and bean yield
(BY) are critical for cultivation management in precision agriculture. Unmanned aerial …

[HTML][HTML] Evaluation of UAV-based drought indices for crop water conditions monitoring: A case study of summer maize

M Cheng, C Sun, C Nie, S Liu, X Yu, Y Bai, Y Liu… - Agricultural Water …, 2023 - Elsevier
Accurately monitoring the crop water conditions (CWC) is vital for agricultural water
management. Traditional in situ measurements are limited by inefficiency and lack of spatial …

Exploring multisource feature fusion and stacking ensemble learning for accurate estimation of maize chlorophyll content using unmanned aerial vehicle remote …

W Zhai, C Li, Q Cheng, F Ding, Z Chen - Remote Sensing, 2023 - mdpi.com
Crop chlorophyll content measuring plays a vital role in monitoring crop growth and
optimizing agricultural inputs such as water and fertilizer. However, traditional methods for …

Enhancing wheat above-ground biomass estimation using UAV RGB images and machine learning: Multi-feature combinations, flight height, and algorithm …

W Zhai, C Li, Q Cheng, B Mao, Z Li, Y Li, F Ding, S Qin… - Remote Sensing, 2023 - mdpi.com
Above-ground biomass (AGB) serves as an indicator of crop growth status, and acquiring
timely AGB information is crucial for estimating crop yield and determining appropriate water …

Faba bean and pea harvest index estimations using aerial-based multimodal data and machine learning algorithms

Y Ji, Z Liu, Y Cui, R Liu, Z Chen, X Zong… - Plant …, 2024 - academic.oup.com
Early and high-throughput estimations of the crop harvest index (HI) are essential for crop
breeding and field management in precision agriculture; however, traditional methods for …

[HTML][HTML] Intensified cropping reduces soil erosion and improves rainfall partitioning and soil properties in the marginal land of the Indian Himalayas

D Yadav, D Singh, S Babu, M Madegowda… - International Soil and …, 2024 - Elsevier
Environmental crises, land degradation, declining factor productivity, and farm profitability
questioned the sustainability of linear economy-based existing agricultural production …