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[HTML][HTML] Multi-sensor spectral synergies for crop stress detection and monitoring in the optical domain: A review
Remote detection and monitoring of the vegetation responses to stress became relevant for
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …
sustainable agriculture. Ongoing developments in optical remote sensing technologies have …
A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …
evaluation at the field level for determining strategic plans in agricultural commodities for …
Challenges and opportunities in remote sensing-based crop monitoring: A review
Building a more resilient food system for sustainable development and reducing uncertainty
in global food markets both require concurrent and near-real-time and reliable crop …
in global food markets both require concurrent and near-real-time and reliable crop …
Remote-sensing data and deep-learning techniques in crop map** and yield prediction: A systematic review
Reliable and timely crop-yield prediction and crop map** are crucial for food security and
decision making in the food industry and in agro-environmental management. The global …
decision making in the food industry and in agro-environmental management. The global …
A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses
The global population is expected to reach 9.8 billion by 2050. There is an exponential
growth of food production to meet the needs of the growing population. However, the limited …
growth of food production to meet the needs of the growing population. However, the limited …
[HTML][HTML] Enhanced data mining and visualization of sensory-graph-Modeled datasets through summarization
The acquisition, processing, mining, and visualization of sensory data for knowledge
discovery and decision support has recently been a popular area of research and …
discovery and decision support has recently been a popular area of research and …
Crop yield estimation based on assimilation of crop models and remote sensing data: A systematic evaluation
CONTEXT With the warming trend and the increasing frequency of extreme weather events,
accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of …
accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of …
The improved winter wheat yield estimation by assimilating GLASS LAI into a crop growth model with the proposed Bayesian posterior-based ensemble Kalman filter
Data assimilation has been demonstrated as the potential crop yield estimation approach.
Accurate quantification of model and observation errors is the key to determining the …
Accurate quantification of model and observation errors is the key to determining the …
Smart agriculture–Urgent need of the day in develo** countries
Smart agriculture is based primarily on three platforms, namely science, innovation and
space technologies. These are considered as the three pioneer pillars of nation building …
space technologies. These are considered as the three pioneer pillars of nation building …
[HTML][HTML] Winter wheat yield prediction at county level and uncertainty analysis in main wheat-producing regions of China with deep learning approaches
Timely and accurate forecasting of crop yields is crucial to food security and sustainable
development in the agricultural sector. However, winter wheat yield estimation and …
development in the agricultural sector. However, winter wheat yield estimation and …