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 …

[HTML][HTML] Plot level sugarcane yield estimation by machine learning on multispectral images: A case study of Bundaberg, Australia

S Akbarian, MR Jamnani, C Xu, W Wang… - Information Processing in …, 2024 - Elsevier
Early crop yield prediction provides critical information for Precision Agriculture (PA)
procedures, policymaking, and food security. The availability of Remote Sensing (RS) …

Alpha-EIOU-YOLOv8: an improved algorithm for rice leaf disease detection

DC Trinh, AT Mac, KG Dang, HT Nguyen, HT Nguyen… - AgriEngineering, 2024 - mdpi.com
Early detection of plant leaf diseases is a major necessity for controlling the spread of
infections and enhancing the quality of food crops. Recently, plant disease detection based …

Characterizing and predicting the quality of milled rice grains using machine learning models

L de Oliveira Carneiro, PC Coradi, DM Rodrigues… - AgriEngineering, 2023 - mdpi.com
Physical classification is the procedure adopted by the rice unloading, delivery, storage, and
processing units for the commercial characterization of the quality of the grains. This step …

Crop yield forecasting by long short‐term memory network with Adam optimizer and Huber loss function in Andhra Pradesh, India

JR Dwaram, RK Madapuri - Concurrency and Computation …, 2022 - Wiley Online Library
In recent times, crop yield prediction gains more attention among researchers communities
to expand food production. In this article, an effort is done for crop yield prediction in Andhra …

Wheat yield prediction in India using principal component analysis-multivariate adaptive regression splines (PCA-MARS)

BM Nayana, KR Kumar, C Chesneau - AgriEngineering, 2022 - mdpi.com
Crop yield forecasting is becoming more essential in the current scenario when food security
must be assured, despite the problems posed by an increasingly globalized community and …

Prediction of rice yield using sensors mounted on unmanned aerial vehicle

R Tripathi, BR Tripathy, SS Jena, CK Swain… - Agricultural …, 2024 - Springer
Accurate estimation of rice yield helps farmers in optimizing the risk and agronomic
management practices. Conventional methods for assessing yield are time-consuming …

[HTML][HTML] Machine Learning Methods for Evaluation of Technical Factors of Spraying in Permanent Plantations

V Tadić, D Radočaj, M Jurišić - Agronomy, 2024 - mdpi.com
Considering the demand for the optimization of the technical factors of spraying for a greater
area coverage and minimal drift, field tests were carried out to determine the interaction …

[Retracted] Parameter Identification of 3D Elastic‐Plastic Model for Tunnel Engineering Based on Improved Genetic Algorithm

X Dong, L Chen - Mathematical Problems in Engineering, 2022 - Wiley Online Library
In order to overcome the deficiencies of the existing intelligent displacement back analysis
methods, the authors propose a parameter identification method for the 3D elastic‐plastic …

Enhancing Rice Production Prediction in Indonesia Using Advanced Machine Learning Models

A Yunianta, LA Wulandhari, Y Desnelita… - IEEE …, 2024 - ieeexplore.ieee.org
This study delves into the application of machine learning techniques for predicting rice
production in Indonesia, a country where rice is not just a staple food but also a key …