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Precision agriculture in the United States: A comprehensive meta-review inspiring further research, innovation, and adoption
Precision agriculture has emerged as a dominant force in the United States, with
widespread adoption of advanced technologies and decision support systems (DSS) since …
widespread adoption of advanced technologies and decision support systems (DSS) since …
[HTML][HTML] Prediction of winter wheat yield and dry matter in North China Plain using machine learning algorithms for optimal water and nitrogen application
Y Wang, W Shi, T Wen - Agricultural Water Management, 2023 - Elsevier
Accurate prediction of crop yield and dry matter as well as optimized water and nitrogen
management can favor rational decision-making for farming systems. Combining high …
management can favor rational decision-making for farming systems. Combining high …
Monitoring leaf area index of the sown mixture pasture through UAV multispectral image and texture characteristics
Leaf area index (LAI) is an important phenotypic trait closely related to photosynthesis,
respiration, and water utilization. In recent years, unmanned aerial vehicles (UAVs) …
respiration, and water utilization. In recent years, unmanned aerial vehicles (UAVs) …
A meta-analysis of remote sensing technologies and methodologies for crop characterization
Climate change and population growth risk the world's food supply. Annual crop yield
production is one of the most crucial components of the global food supply. Moreover, the …
production is one of the most crucial components of the global food supply. Moreover, the …
Estimation of winter wheat plant nitrogen concentration from UAV hyperspectral remote sensing combined with machine learning methods
Nitrogen is one of the most important macronutrients and plays an essential role in the
growth and development of winter wheat. It is very crucial to diagnose the nitrogen status …
growth and development of winter wheat. It is very crucial to diagnose the nitrogen status …
[HTML][HTML] Deep learning-based estimation of crop biophysical parameters using multi-source and multi-temporal remote sensing observations
Remote sensing data are considered as one of the primary data sources for precise
agriculture. Several studies have demonstrated the excellent capability of radar and optical …
agriculture. Several studies have demonstrated the excellent capability of radar and optical …
Simulating the leaf area index of rice from multispectral images
Accurate estimation of the leaf area index (LAI) is essential for crop growth simulations and
agricultural management. This study conducted a field experiment with rice and measured …
agricultural management. This study conducted a field experiment with rice and measured …
Processing of remote sensing information to retrieve leaf area index in barley: a comparison of methods
Leaf area index (LAI) is a key variable in understanding and modeling crop-environment
interactions. With the advent of increasingly higher spatial resolution satellites and sensors …
interactions. With the advent of increasingly higher spatial resolution satellites and sensors …
[HTML][HTML] An investigation of winter wheat leaf area index fitting model using spectral and canopy height model data from unmanned aerial vehicle imagery
The leaf area index (LAI) is critical for the respiration, transpiration, and photosynthesis of
crops. Color indices (CIs) and vegetation indices (VIs) extracted from unmanned aerial …
crops. Color indices (CIs) and vegetation indices (VIs) extracted from unmanned aerial …
[HTML][HTML] On-farm soybean seed protein and oil prediction using satellite data
Abstract Soybean [Glycine max L.(Merr.)] seed composition is receiving increased attention
among farmers, agronomists, and commodity traders. Increasing the ability to predict seed …
among farmers, agronomists, and commodity traders. Increasing the ability to predict seed …