[HTML][HTML] The potential of remote sensing and artificial intelligence as tools to improve the resilience of agriculture production systems
Modern agriculture and food production systems are facing increasing pressures from
climate change, land and water availability, and, more recently, a pandemic. These factors …
climate change, land and water availability, and, more recently, a pandemic. These factors …
Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming: A comprehensive review
Abstract Internet of Things (IoT) and Unmanned Aerial Vehicles (UAVs) are two hot
technologies utilized in cultivation fields, which transform traditional farming practices into a …
technologies utilized in cultivation fields, which transform traditional farming practices into a …
A review on UAV-based applications for precision agriculture
Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …
Smart Farming and Precision Agriculture applications, enabling the acquisition of real-time …
Developing a machine learning based cotton yield estimation framework using multi-temporal UAS data
In this research a machine learning framework was developed for cotton yield estimation
using multi-temporal remote sensing data collected from unmanned aircraft system (UAS) …
using multi-temporal remote sensing data collected from unmanned aircraft system (UAS) …
Classification of soybean leaf wilting due to drought stress using UAV-based imagery
Drought stress is one of the major limiting factors in soybean growth and productivity.
Canopy leaf wilting (ie fast-and slow-wilting) is considered as an important visible symptom …
Canopy leaf wilting (ie fast-and slow-wilting) is considered as an important visible symptom …
Plant counting of cotton from UAS imagery using deep learning-based object detection framework
Assessing plant population of cotton is important to make replanting decisions in low plant
density areas, prone to yielding penalties. Since the measurement of plant population in the …
density areas, prone to yielding penalties. Since the measurement of plant population in the …
[HTML][HTML] Downscaling solar-induced chlorophyll fluorescence for field-scale cotton yield estimation by a two-step convolutional neural network
As the largest cotton-growing region in China, Xinjiang has contributed more than 80% of
the total national cotton production in recent years. Timely and accurate estimation of cotton …
the total national cotton production in recent years. Timely and accurate estimation of cotton …
Data acquisition and analysis methods in UAV-based applications for Precision Agriculture
Emerging technologies such as Internet of Things (IoT) can provide significant potential in
Precision Agriculture enabling the acquisition of real-time environmental data. IoT devices …
Precision Agriculture enabling the acquisition of real-time environmental data. IoT devices …
A support vector machine and image processing based approach for counting open cotton bolls and estimating lint yield from UAV imagery
Cotton boll count is an important phenotypic trait that aids in a better understanding of the
genetic and physiological mechanisms of cotton growth. Several computer vision …
genetic and physiological mechanisms of cotton growth. Several computer vision …
Unmanned aerial vehicle-based phenotyping using morphometric and spectral analysis can quantify responses of wild tomato plants to salinity stress
With salt stress presenting a major threat to global food production, attention has turned to
the identification and breeding of crop cultivars with improved salt tolerance. For instance …
the identification and breeding of crop cultivars with improved salt tolerance. For instance …