[HTML][HTML] Integration of remote sensing and machine learning for precision agriculture: a comprehensive perspective on applications
J Wang, Y Wang, G Li, Z Qi - Agronomy, 2024 - mdpi.com
Due to current global population growth, resource shortages, and climate change, traditional
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …
agricultural models face major challenges. Precision agriculture (PA), as a way to realize the …
Knowledge map** of machine learning approaches applied in agricultural management—a scientometric review with citespace
J Zhang, J Liu, Y Chen, X Feng, Z Sun - Sustainability, 2021 - mdpi.com
With the continuous development of the Internet of Things, artificial intelligence, big data
technology, and intelligent agriculture have become hot topics in agricultural science and …
technology, and intelligent agriculture have become hot topics in agricultural science and …
Farm monitoring and disease prediction by classification based on deep learning architectures in sustainable agriculture
Agriculture is necessary for all human activities to survive. Overpopulation and resource
competitiveness are major challenges that threaten the planet's food security. Smart farming …
competitiveness are major challenges that threaten the planet's food security. Smart farming …
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 …
Corn grain yield prediction using UAV-based high spatiotemporal resolution multispectral imagery
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 …
Estimating coffee plant yield based on multispectral images and machine learning models
CAM Abreu Júnior, GD Martins, LCM Xavier, BS Vieira… - Agronomy, 2022 - mdpi.com
The coffee plant is one of the main crops grown in Brazil. However, strategies to estimate its
yield are questionable given the characteristics of this crop; in this context, robust …
yield are questionable given the characteristics of this crop; in this context, robust …
Pre-Harvest Corn Grain Moisture Estimation Using Aerial Multispectral Imagery and Machine Learning Techniques
P Jjagwe, AK Chandel, D Langston - Land, 2023 - mdpi.com
Corn grain moisture (CGM) is critical to estimate grain maturity status and schedule harvest.
Traditional methods for determining CGM range from manual scouting, destructive …
Traditional methods for determining CGM range from manual scouting, destructive …
[PDF][PDF] Models of quantitative estimation of sowing density effect on maize yield and its dependence on weather conditions.
O Kharchenko, S Petrenko… - … Papers. Series A …, 2021 - agronomyjournal.usamv.ro
This paper is focused on dependence of corn yield on plant density at harvest time and the
influence of weather conditions during crop growth period on the parameters of yield–factor …
influence of weather conditions during crop growth period on the parameters of yield–factor …
Defining the ideal phenological stage for estimating corn yield using multispectral images
CAM Abreu Júnior, GD Martins, LCM Xavier… - Agronomy, 2023 - mdpi.com
Image-based spectral models assist in estimating the yield of maize. During the vegetative
and reproductive phenological phases, the corn crop undergoes changes caused by biotic …
and reproductive phenological phases, the corn crop undergoes changes caused by biotic …
Map** the corn residue-covered types using multi-scale feature fusion and supervised learning method by Chinese GF-2 PMS image
The management of crop residue covering is a vital part of conservation tillage, which
protects black soil by reducing soil erosion and increasing soil organic carbon. Accurate and …
protects black soil by reducing soil erosion and increasing soil organic carbon. Accurate and …