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 …

Recently, agriculture has gained much attention regarding forecasting and prediction with
the advancement of artificial intelligence techniques. Advancements in Machine Learning …

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 …

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 …

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 …

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 …

In the domain of efficient management of resources and ensuring nutritional consistency,
accuracy in predicting crop yields becomes crucial. The advancement of artificial …

The hyperspectral imaging technology introduced in this study not only significantly
enhances the accuracy of citrus yield prediction but also provides crucial data for …

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 …

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 …