This comprehensive review paper synthesizes a variety of research findings in the domains of crop recommendation, fertilizer application, and water management. The aim is to offer a holistic perspective on the integra...
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(纸本)9798350370249
This comprehensive review paper synthesizes a variety of research findings in the domains of crop recommendation, fertilizer application, and water management. The aim is to offer a holistic perspective on the integrated approach to optimizing agricultural productivity. The review explores the intricate relationships among these three fundamental components, investigating synergies and trade-offs within their application. In the first section, the review navigates through studies on crop recommendation systems, examining advancements in precision agriculture, machine learning, and data analytics. It evaluates the effectiveness of various models in predicting suitable crops based on soil types, climate conditions, and historical data. Special emphasis is placed on the evolving landscape of digital agriculture and the role of emerging technologies in shaping modern crop recommendation frameworks. Moving forward, the review explores the complex dynamics of fertilizer application, encompassing studies on nutrient management strategies, soil health considerations, and the ecological impacts of different fertilization practices. Attention is given to sustainable approaches that balance high yields with environmental stewardship, considering the long-term viability of agricultural systems. The third section of the review focuses on water recommendation systems, analyzing research on efficient irrigation methods, water use efficiency, and technologies for real-time monitoring of soil moisture. It assesses evolving strategies to optimize water resources, particularly in regions facing water scarcity and climate variability. Throughout the review, critical insights are drawn from key research papers, addressing gaps in existing knowledge and identifying avenues for future investigations. By combining information from these three crucial domains, this review contributes to the development of a unified framework for sustainable and precision agriculture, enhancing our understan
This paper introduces a novel Convolutional Neural Network (CNN) architecture for image colorization. We review existing research, identifying key progress and persistent challenges in the field. Our approach features...
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In a crowd-sensing system, effective transmission of sensing data is an important step in improving task distribution efficiency. In real-life scenarios, when resources are limited or geographic conditions are harsh, ...
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An innovative methodology is introduced in this Research to enhance data-driven travel decision-making by integrating IoT technology and data science techniques. With a specific focus on air and sound pollution, the r...
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Detecting AI-generated text has become increasingly prominent. This paper presents our solution for the DAIGenC Task 1 Subtask 2, where we address the challenge of distinguishing human-authored text from machine-gener...
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This work introduces DensePoseCompare, representing an extensive investigation of DenseNet models for precise and effective yoga position detection. A comparative study is conducted utilizing three DenseNet architectu...
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INTRODUCTION With the rapid development of remote sensing technology,high-quality remote sensing images have become widely *** automated object detection and recognition of these images,which aims to automatically loc...
INTRODUCTION With the rapid development of remote sensing technology,high-quality remote sensing images have become widely *** automated object detection and recognition of these images,which aims to automatically locate objects of interest in remote sensing images and distinguish their specific categories,is an important fundamental task in the *** provides an effective means for geospatial object monitoring in many social applications,such as intelligent transportation,urban planning,environmental monitoring and homeland security.
Crowd management is a cumbersome task that requires broad analysis and grasp of various constraints. The main hurdles include security issues, unexpected crowd dynamics over which there is typically minimal or no cont...
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The lack of communication options for Deaf and hearing people, some may say creates a significant social disadvantage in accessing the often-bare essential services. In contrast to acoustically communicated sound patt...
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This paper presents a novel pipeline for estimating room layouts and reconstructing the 3D shapes of indoor objects. This task remains challenging due to occlusions of indoor scenes, which lead to incomplete shape and...
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