Applications of UAS in crop biomass monitoring: A review
T Wang, Y Liu, M Wang, Q Fan, H Tian… - Frontiers in plant …, 2021 - frontiersin.org
Biomass is an important indicator for evaluating crops. The rapid, accurate and
nondestructive monitoring of biomass is the key to smart agriculture and precision …
nondestructive monitoring of biomass is the key to smart agriculture and precision …
Yield sensing technologies for perennial and annual horticultural crops: A review
Yield maps provide a detailed account of crop production and potential revenue of a farm.
This level of details enables a range of possibilities from improving input management …
This level of details enables a range of possibilities from improving input management …
Prediction of strawberry dry biomass from UAV multispectral imagery using multiple machine learning methods
Biomass is a key biophysical parameter for precision agriculture and plant breeding. Fast,
accurate and non-destructive monitoring of biomass enables various applications related to …
accurate and non-destructive monitoring of biomass enables various applications related to …
Prediction of plant-level tomato biomass and yield using machine learning with unmanned aerial vehicle imagery
K Tatsumi, N Igarashi, X Mengxue - Plant Methods, 2021 - Springer
Background The objective of this study is twofold. First, ascertain the important variables that
predict tomato yields from plant height (PH) and vegetation index (VI) maps. The maps were …
predict tomato yields from plant height (PH) and vegetation index (VI) maps. The maps were …
Temporal prediction and evaluation of Brassica growth in the field using conditional generative adversarial networks
Farmers frequently assess plant growth and performance as basis for making decisions
when to take action in the field, such as fertilization, weed control, or harvesting. The …
when to take action in the field, such as fertilization, weed control, or harvesting. The …
[HTML][HTML] Under-Canopy Drone 3D Surveys for Wild Fruit Hotspot Mapping
Advances in mobile robotics and AI have significantly expanded their application across
various domains and challenging conditions. In the past, this has been limited to safe …
various domains and challenging conditions. In the past, this has been limited to safe …
[HTML][HTML] The use of synthetic aperture radar technology for crop biomass monitoring: a systematic review
M Parag, R Lottering, K Peerbhay, N Agjee… - … Applications: Society and …, 2024 - Elsevier
In agriculture, crop biomass is a vital indicator of the overall health of an ecosystem. Recent
developments in synthetic aperture radar (SAR) technologies have promoted the application …
developments in synthetic aperture radar (SAR) technologies have promoted the application …
Advancements in UAV Remote Sensing for Agricultural Yield Estimation: A Systematic Comprehensive Review of Platforms, Sensors, and Data Analytics
Traditional yield estimation approaches are quite tedious, time-consuming, and labor-
intensive. Unmanned aerial vehicles (UAVs) present an exciting opportunity to estimate crop …
intensive. Unmanned aerial vehicles (UAVs) present an exciting opportunity to estimate crop …
Deciphering salt stress responses in Solanum pimpinellifolium through high‐throughput phenotyping
Soil salinity is a major environmental stressor affecting agricultural productivity worldwide.
Understanding plant responses to salt stress is crucial for developing resilient crop varieties …
Understanding plant responses to salt stress is crucial for developing resilient crop varieties …
Estimating the frost damage index in lettuce using UAV-based RGB and multispectral images
Y Liu, S Ban, S Wei, L Li, M Tian, D Hu, W Liu… - Frontiers in Plant …, 2024 - frontiersin.org
Introduction The cold stress is one of the most important factors for affecting production
throughout year, so effectively evaluating frost damage is great significant to the …
throughout year, so effectively evaluating frost damage is great significant to the …