Applications of remote sensing in precision agriculture: A review
Agriculture provides for the most basic needs of humankind: food and fiber. The introduction
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
of new farming techniques in the past century (eg, during the Green Revolution) has helped …
[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 …
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) …
[HTML][HTML] Deep learning-based early weed segmentation using motion blurred UAV images of sorghum fields
N Genze, R Ajekwe, Z Güreli, F Haselbeck… - … and Electronics in …, 2022 - Elsevier
Weeds are undesired plants in agricultural fields that affect crop yield and quality by
competing for nutrients, water, sunlight and space. For centuries, farmers have used several …
competing for nutrients, water, sunlight and space. For centuries, farmers have used several …
Olive tree biovolume from UAV multi-resolution image segmentation with mask R-CNN
Olive tree growing is an important economic activity in many countries, mostly in the
Mediterranean Basin, Argentina, Chile, Australia, and California. Although recent …
Mediterranean Basin, Argentina, Chile, Australia, and California. Although recent …
[HTML][HTML] Comparison of multi-source satellite images for classifying marsh vegetation using DeepLabV3 Plus deep learning algorithm
The accurate classification of wetland vegetation is essential for rapid assessment and
management. The Honghe National Nature Reserve (HNNR), located in Northeast China …
management. The Honghe National Nature Reserve (HNNR), located in Northeast China …
Estimation of soybean grain yield from multispectral high-resolution UAV data with machine learning models in West Africa
Abstract Soybean (Glycine max (L.) Merr.) is a leguminous and oil crop with rapidly growing
importance and demand in Africa following the increasing demand for oil and livestock and …
importance and demand in Africa following the increasing demand for oil and livestock and …
Scaling effects on chlorophyll content estimations with RGB camera mounted on a UAV platform using machine-learning methods
Timely monitoring and precise estimation of the leaf chlorophyll contents of maize are crucial
for agricultural practices. The scale effects are very important as the calculated vegetation …
for agricultural practices. The scale effects are very important as the calculated vegetation …
Modified red blue vegetation index for chlorophyll estimation and yield prediction of maize from visible images captured by UAV
The vegetation index (VI) has been successfully used to monitor the growth and to predict
the yield of agricultural crops. In this paper, a long-term observation was conducted for the …
the yield of agricultural crops. In this paper, a long-term observation was conducted for the …
Toward automated machine learning-based hyperspectral image analysis in crop yield and biomass estimation
KY Li, R Sampaio de Lima, NG Burnside, E Vahtmäe… - Remote Sensing, 2022 - mdpi.com
The incorporation of autonomous computation and artificial intelligence (AI) technologies
into smart agriculture concepts is becoming an expected scientific procedure. The airborne …
into smart agriculture concepts is becoming an expected scientific procedure. The airborne …