Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Unoccupied aerial systems imagery for phenoty** in cotton, maize, soybean, and wheat breeding
High‐throughput phenoty** (HTP) with unoccupied aerial systems (UAS), consisting of
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …
A survey of unmanned aerial sensing solutions in precision agriculture
We attribute the gain in popularity of Unmanned Aerial Vehicles (UAV), Platforms and
Systems (UAS) to its ease of operation, versatility, and risk-free piloting. The primary UAV …
Systems (UAS) to its ease of operation, versatility, and risk-free piloting. The primary UAV …
Yield estimation of soybean breeding lines under drought stress using unmanned aerial vehicle-based imagery and convolutional neural network
Highlights•UAV-based imagery and deep learning models was used for high throughput
phenoty**.•Methods of yield estimation for a large breeding population was …
phenoty**.•Methods of yield estimation for a large breeding population was …
Cotton yield estimation from aerial imagery using machine learning approaches
Estimation of cotton yield before harvest offers many benefits to breeding programs,
researchers and producers. Remote sensing enables efficient and consistent estimation of …
researchers and producers. Remote sensing enables efficient and consistent estimation of …
Combining a cotton 'Boll Area Index'with in-season unmanned aerial multispectral and thermal imagery for yield estimation
Crop yield data is critical for precision agriculture, breeding programs, and other activities,
but collecting this data at fine scales is labor-intensive. Unmanned aerial systems (UAS) …
but collecting this data at fine scales is labor-intensive. Unmanned aerial systems (UAS) …
Cotton yield estimation based on vegetation indices and texture features derived from RGB image
Yield monitoring is an important parameter to evaluate cotton productivity during cotton
harvest. Nondestructive and accurate yield monitoring is of great significance to cotton …
harvest. Nondestructive and accurate yield monitoring is of great significance to cotton …
[HTML][HTML] A review of unmanned aerial vehicle based remote sensing and machine learning for cotton crop growth monitoring
N Aierken, B Yang, Y Li, P Jiang, G Pan, S Li - Computers and Electronics in …, 2024 - Elsevier
Cotton is one of the world's most economically significant crops. Evaluating and monitoring
cotton crop growth play vital roles in precision agriculture. Unmanned aerial vehicle (UAV) …
cotton crop growth play vital roles in precision agriculture. Unmanned aerial vehicle (UAV) …
RFID and drones: The next generation of plant inventory
Collection of plant inventory (ie, count, grade, plant size, yield) data is time-consuming,
costly, and can be inaccurate. In response to increasing labor costs and shortages, there is …
costly, and can be inaccurate. In response to increasing labor costs and shortages, there is …
CHAP: cotton-harvesting autonomous platform
The US cotton industry provided over 190,000 jobs and more than $28 billion total economic
contributions to the United States in 2012. The US is the third-largest cotton-producing …
contributions to the United States in 2012. The US is the third-largest cotton-producing …
[HTML][HTML] Watson on the farm: Using cloud-based artificial intelligence to identify early indicators of water stress
As demand for freshwater increases while supply remains stagnant, the critical need for
sustainable water use in agriculture has led the EPA Strategic Plan to call for new …
sustainable water use in agriculture has led the EPA Strategic Plan to call for new …