[HTML][HTML] Crop monitoring by multimodal remote sensing: A review

P Karmakar, SW Teng, M Murshed, S Pang, Y Li… - Remote Sensing …, 2024 - Elsevier
Effective approaches to achieve food safety and security can prevent catastrophic situations.
Therefore, it is required to monitor agricultural crops on a regular basis. This can be easily …

Forecasting of crop yield using remote sensing data, agrarian factors and machine learning approaches

JP Bharadiya, NT Tzenios… - Journal of Engineering …, 2023 - classical.goforpromo.com
The art of predicting crop production is done before the crop is harvested. Crop output
forecasts will help people make timely judgments concerning food policy, prices in markets …

Can yield prediction be fully digitilized? A systematic review

N Darra, E Anastasiou, O Kriezi, E Lazarou, D Kalivas… - Agronomy, 2023 - mdpi.com
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 …

Multi-stage corn yield prediction using high-resolution UAV multispectral data and machine learning models

C Kumar, P Mubvumba, Y Huang, J Dhillon, K Reddy - Agronomy, 2023 - mdpi.com
Timely and cost-effective crop yield prediction is vital in crop management decision-making.
This study evaluates the efficacy of Unmanned Aerial Vehicle (UAV)-based Vegetation …

A high performance-oriented AI-enabled IoT-based pest detection system using sound analytics in large agricultural field

MA Ali, RK Dhanaraj, A Nayyar - Microprocessors and Microsystems, 2023 - Elsevier
The agricultural industry has enormous potential to meet the world's growing need for
nutritious and healthful food. However, pests destroy a significant portion of the harvest and …

The widespread use of remote sensing in asbestos, vegetation, oil and gas, and geology applications

LK Torres Gil, D Valdelamar Martínez, M Saba - Atmosphere, 2023 - mdpi.com
Remote sensing is the technique of acquiring data from the earth's surface from sensors
installed on satellites or on manned or unmanned aircrafts. Its use is common in dozens of …

Integrating random forest and crop modeling improves the crop yield prediction of winter wheat and oil seed rape

MS Dhillon, T Dahms, C Kuebert-Flock… - Frontiers in Remote …, 2023 - frontiersin.org
The fast and accurate yield estimates with the increasing availability and variety of global
satellite products and the rapid development of new algorithms remain a goal for precision …

Deep ResU-Net Convolutional Neural Networks Segmentation for Smallholder Paddy Rice Mapping Using Sentinel 1 SAR and Sentinel 2 Optical Imagery

AO Onojeghuo, Y Miao, GA Blackburn - Remote Sensing, 2023 - mdpi.com
Rice is a globally significant staple food crop. Therefore, it is crucial to have adequate tools
for monitoring changes in the extent of rice paddy cultivation. Such a system would require a …

Effect of the synergetic use of sentinel-1, sentinel-2, lidar and derived data in land cover classification of a semiarid mediterranean area using machine learning …

C Valdivieso-Ros, F Alonso-Sarria, F Gomariz-Castillo - Remote Sensing, 2023 - mdpi.com
Land cover classification in semiarid areas is a difficult task that has been tackled using
different strategies, such as the use of normalized indices, texture metrics, and the …

AI-Enabled Crop Recommendation System Based on Soil and Weather Patterns

P Sharma, P Dadheech, AVSK Senthil - Artificial Intelligence Tools …, 2023 - igi-global.com
Agriculture is the foremost factor which is important for the survival of human beings.
Farming contributes to a very big part of GDP; still, several areas exist where improvements …