A survey on the role of Internet of Things for adopting and promoting Agriculture 4.0
There is a rapid increase in the adoption of emerging technologies like the Internet of Things
(IoT), Unmanned Aerial Vehicles (UAV), Internet of Underground Things (IoUT), Data …
(IoT), Unmanned Aerial Vehicles (UAV), Internet of Underground Things (IoUT), Data …
Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …
Remote sensing (RS) systems are being more widely used in building decision support tools …
Grain yield prediction of rice using multi-temporal UAV-based RGB and multispectral images and model transfer–a case study of small farmlands in the South of China
Timely and accurate crop monitoring and yield forecasting before harvesting are valuable for
precision management, policy and decision making, and marketing. The aim of this study is …
precision management, policy and decision making, and marketing. The aim of this study is …
High-throughput estimation of crop traits: A review of ground and aerial phenoty** platforms
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …
increase in population over the coming decades as well as the effects of anticipated climate …
Alfalfa yield prediction using UAV-based hyperspectral imagery and ensemble learning
Alfalfa is a valuable and intensively produced forage crop in the United States, and the
timely estimation of its yield can inform precision management decisions. However …
timely estimation of its yield can inform precision management decisions. However …
Crop yield estimation based on assimilation of crop models and remote sensing data: A systematic evaluation
CONTEXT With the warming trend and the increasing frequency of extreme weather events,
accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of …
accurate crop yield estimation is becoming urgent. Crop yield estimation mainly consists of …
Contribution of remote sensing on crop models: a review
Crop growth models simulate the relationship between plants and the environment to predict
the expected yield for applications such as crop management and agronomic decision …
the expected yield for applications such as crop management and agronomic decision …
Remote sensing of above-ground biomass
Accurate measurement and map** of biomass is a critical component of carbon stock
quantification, climate change impact assessment, suitability and location of bio-energy …
quantification, climate change impact assessment, suitability and location of bio-energy …
Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system
Background Aboveground biomass (AGB) is a widely used agronomic parameter for
characterizing crop growth status and predicting grain yield. The rapid and accurate …
characterizing crop growth status and predicting grain yield. The rapid and accurate …
A comparison of regression techniques for estimation of above-ground winter wheat biomass using near-surface spectroscopy
Above-ground biomass (AGB) provides a vital link between solar energy consumption and
yield, so its correct estimation is crucial to accurately monitor crop growth and predict yield …
yield, so its correct estimation is crucial to accurately monitor crop growth and predict yield …