[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 …
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
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 …
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
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 …
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 …
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 …
(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
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 …
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 …
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 …
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 …
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
Environmental crises, land degradation, declining factor productivity, and farm profitability
questioned the sustainability of linear economy-based existing agricultural production …
questioned the sustainability of linear economy-based existing agricultural production …