Machine learning in agriculture: A comprehensive updated review
The digital transformation of agriculture has evolved various aspects of management into
artificial intelligent systems for the sake of making value from the ever-increasing data …
artificial intelligent systems for the sake of making value from the ever-increasing data …
State of major vegetation indices in precision agriculture studies indexed in web of science: A review
Vegetation indices provide information for various precision-agriculture practices, by
providing quantitative data about crop growth and health. To provide a concise and up-to …
providing quantitative data about crop growth and health. To provide a concise and up-to …
Can yield prediction be fully digitilized? A systematic review
Going beyond previous work, this paper presents a systematic literature review that explores
the deployment of satellites, drones, and ground-based sensors for yield prediction in …
the deployment of satellites, drones, and ground-based sensors for yield prediction in …
Phenological stage and vegetation index for predicting corn yield under rainfed environments
A Shrestha, R Bheemanahalli, A Adeli… - Frontiers in Plant …, 2023 - frontiersin.org
Uncrewed aerial systems (UASs) provide high temporal and spatial resolution information
for crop health monitoring and informed management decisions to improve yields. However …
for crop health monitoring and informed management decisions to improve yields. However …
Machine learning technology for early prediction of grain yield at the field scale: A systematic review
Abstract Machine learning (ML) has become an important technology for the development of
prediction models for crop yield. Predictive modeling using ML is rapidly growing as …
prediction models for crop yield. Predictive modeling using ML is rapidly growing as …
Estimating yield-related traits using UAV-derived multispectral images to improve rice grain yield prediction
MV Bascon, T Nakata, S Shibata, I Takata… - Agriculture, 2022 - mdpi.com
Rice grain yield prediction with UAV-driven multispectral images are re-emerging interests
in precision agriculture, and an optimal sensing time is an important factor. The aims of this …
in precision agriculture, and an optimal sensing time is an important factor. The aims of this …
[HTML][HTML] Evaluation of UAV multispectral cameras for yield and biomass prediction in wheat under different sun elevation angles and phenological stages
Quantitative trait prediction using multispectral UAV imagery is gaining popularity in field
trials. However, the reliability of models is influenced by the type of camera and its …
trials. However, the reliability of models is influenced by the type of camera and its …
Corn grain yield prediction using UAV-based high spatiotemporal resolution imagery, machine learning, and spatial cross-validation
Food demand is expected to rise significantly by 2050 due to the increase in population;
additionally, receding water levels, climate change, and a decrease in the amount of …
additionally, receding water levels, climate change, and a decrease in the amount of …
Nutritional status assessment of olive crops by means of the analysis and modelling of multispectral images taken with UAVs
Highlights•Method for NPK leaf content retrieval in olive trees by means of multispectral
data.•Multispectral images taken by a UAV under field conditions.•Image analysis algorithm …
data.•Multispectral images taken by a UAV under field conditions.•Image analysis algorithm …
Analysis of corn yield prediction potential at various growth phases using a process-based model and deep learning
Y Ren, Q Li, X Du, Y Zhang, H Wang, G Shi, M Wei - Plants, 2023 - mdpi.com
Early and accurate prediction of grain yield is of great significance for ensuring food security
and formulating food policy. The exploration of key growth phases and features is beneficial …
and formulating food policy. The exploration of key growth phases and features is beneficial …