Unoccupied aerial systems imagery for phenoty** in cotton, maize, soybean, and wheat breeding

AW Herr, A Adak, ME Carroll, D Elango, S Kar… - Crop …, 2023 - Wiley Online Library
High‐throughput phenoty** (HTP) with unoccupied aerial systems (UAS), consisting of
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …

A survey of unmanned aerial sensing solutions in precision agriculture

A Mukherjee, S Misra, NS Raghuwanshi - Journal of Network and …, 2019 - Elsevier
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 …

Yield estimation of soybean breeding lines under drought stress using unmanned aerial vehicle-based imagery and convolutional neural network

J Zhou, J Zhou, H Ye, ML Ali, P Chen… - Biosystems Engineering, 2021 - Elsevier
Highlights•UAV-based imagery and deep learning models was used for high throughput
phenoty**.•Methods of yield estimation for a large breeding population was …

Cotton yield estimation from aerial imagery using machine learning approaches

J Rodriguez-Sanchez, C Li, AH Paterson - Frontiers in plant science, 2022 - frontiersin.org
Estimation of cotton yield before harvest offers many benefits to breeding programs,
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

J Siegfried, CB Adams, N Rajan, S Hague… - Field Crops …, 2023 - Elsevier
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) …

Cotton yield estimation based on vegetation indices and texture features derived from RGB image

Y Ma, L Ma, Q Zhang, C Huang, X Yi, X Chen… - Frontiers in Plant …, 2022 - frontiersin.org
Yield monitoring is an important parameter to evaluate cotton productivity during 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) …

RFID and drones: The next generation of plant inventory

J Quino, JM Maja, J Robbins, RT Fernandez… - AgriEngineering, 2021 - mdpi.com
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 …

CHAP: cotton-harvesting autonomous platform

JM Maja, M Polak, ME Burce, E Barnes - AgriEngineering, 2021 - mdpi.com
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 …

[HTML][HTML] Watson on the farm: Using cloud-based artificial intelligence to identify early indicators of water stress

D Freeman, S Gupta, DH Smith, JM Maja, J Robbins… - Remote sensing, 2019 - mdpi.com
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 …