Crop Yield Prediction in Agriculture: A Comprehensive Review of Machine Learning and Deep Learning Approaches, with Insights for Future Research and …

MA Jabed, MAA Murad - Heliyon, 2024 - cell.com
The agriculture sector is confronted with numerous challenges in the quest for accurate crop
yield estimation, which is essential for efficient resource management and mitigating food …

[HTML][HTML] Citrus yield prediction using deep learning techniques: A combination of field and satellite data

A Moussaid, S El Fkihi, Y Zennayi, I Kassou… - Journal of Open …, 2023 - Elsevier
The goal of this paper is to develop a deep learning model for predicting citrus yield. The
data used consists of two sources:(1) field data that includes information on fertilization and …

[HTML][HTML] Crop Yield Prediction Using Machine Learning: An Extensive and Systematic Literature Review

SM Shawon, FB Ema, AK Mahi, FL Niha… - Smart Agricultural …, 2024 - Elsevier
Recently, agriculture has gained much attention regarding forecasting and prediction with
the advancement of artificial intelligence techniques. Advancements in Machine Learning …

Method for controlling phytoplankton distribution in fresh open water

R Moldasheva, A Ismailova… - International Journal …, 2024 - Taylor & Francis
This paper presents a processed phytoplankton dataset from Lake Zerendi and other
Kokshetau Upland lakes, Kazakhstan. The study aimed to develop an automated method for …

[HTML][HTML] Employing an Artificial Neural Network Model to Predict Citrus Yield Based on Climate Factors

SS Almady, M Abdel-Sattar, SM Al-Sager… - Agronomy, 2024 - mdpi.com
Agricultural sustainability is dependent on the ability to predict crop yield, which is vital for
farmers, consumers, and researchers. Most of the works used the amount of rainfall, average …

[HTML][HTML] Exploring End-to-End object detection with transformers versus YOLOv8 for enhanced citrus fruit detection within trees

Z Jrondi, A Moussaid, MY Hadi - Systems and Soft Computing, 2024 - Elsevier
This paper presents a comparative analysis between two state-of-the-art object detection
models, DETR and YOLOv8, focusing on their effectiveness in fruit detection for yield …

[HTML][HTML] Satellite imagery, big data, IoT and deep learning techniques for wheat yield prediction in Morocco

A Boukhris, A Jilali, A Sadiq - Results in Control and Optimization, 2024 - Elsevier
In the domain of efficient management of resources and ensuring nutritional consistency,
accuracy in predicting crop yields becomes crucial. The advancement of artificial …

Estimation of satsuma mandarin fruit yield using a drone and hyperspectral sensor

J Kim, S Kwon, K Park, Y Moon - Horticulture, Environment, and …, 2024 - Springer
The hyperspectral imaging technology introduced in this study not only significantly
enhances the accuracy of citrus yield prediction but also provides crucial data for …

[PDF][PDF] Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review.

V Ramesh, P Kumaresan - Nature Environment & Pollution …, 2024 - researchgate.net
Agriculture is the crucial pillar and basic building block of our nation. Agriculture plays a key
role as the major source of revenue for our nation. Farming is the primary financial source of …

Predicting Agricultural Product Unit Production Using the K-Nearest Neighbors Algorithm

N Mohamed-Amine, M Abdellatif… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
This paper presents a study focused on the analysis of phytosanitary production. The
objective is to predict pro-duction per unit, in order to optimize production efficiency, as an …