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Abstract Accurate estimation of evapotranspiration (ET) is critical for precise irrigation management and sustainable water use in agriculture. This study evaluated five Penman-Monteith based models, including Penman-Monteith (P-M), Shuttleworth-Wallace (S-W),…
preprints
2026
置信度 0.74
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With the increasing cost of labor, smart agriculture has emerged as a key trend for the future of agricultural development. This paper presents an integrated approach for tomato maturity clas-sification and yield estimation using both RGB and multispectral ima…
preprints
2026
置信度 0.74
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Abstract High-precision 3D reconstruction is essential for assessing external quality and extracting phenotypic parameters of navel oranges. Conventional Structure-from-Motion (SfM) pipelines struggle with the weakly textured characteristics and highly specula…
preprints
2026
置信度 0.74
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Abstract Background: The consumption of main memory resources is a significant burden in k-mer-based metagenomic analysis when creating related databases but also when performing (unique) k-mer-counting and read classification. Genestrip addresses this issue b…
preprints
2026
置信度 0.74
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Abstract Purpose Accurate estimation of crop transpiration is essential for optimizing irrigation management and improving water-use efficiency in precision agriculture. However, direct measurement of transpiration is often invasive, costly, and difficult to m…
europepmc
2026
置信度 0.80
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Abstract Conventional nutrient stress diagnostics identify symptoms without explaining the underlying thermodynamic mechanisms. This study presents the first experimental application of the non-zero-entropy, finite-area solar exergy model (Model 2) to characte…
preprints
2026
置信度 0.74
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Artificial intelligence (AI) is increasingly embedded in development systems, enabling new capabilities for poverty prediction, social protection targeting, and service delivery optimisation across sectors such as finance, agriculture, health and education, ye…
preprints
2026
置信度 0.74
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To meet the growing demand for precision and intelligent agricultural management, crop simulation models offer substantial potential for optimizing farm planting strategies. By simulating crop growth processes and assessing the effects of different management …
europepmc
2026
置信度 0.80
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The okra crop (Abelmoschus esculentus) plays a strategic role in family farming and traditional communities of the Brazilian semiarid region, but its productivity is strongly limited by root-knot nematodes (Meloidogyne spp.). The conventional phytosanitary dia…
preprints
2026
置信度 0.74
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Abstract Background Cashew trees are vital to the agricultural economy of tropical regions, providing a substantial source of income and raw material. However, cashew diseases such as anthracnose, gummosis, leaf miner, red rust, and powdery mildew are a signif…
preprints
2026
置信度 0.74
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Abstract Agricultural advisory systems require high factual accuracy, multilingual accessibility, and robustness to noisy real-world data. This paper presents Kisan-BiQAS, a bilingual (Hindi–English) question answering framework designed for farmercentric advi…
preprints
2026
置信度 0.74
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Abstract Understanding plant water status and cellular hydration is fundamental to plant physiology, drought resilience, and precision agriculture. Yet current approaches infer hydration indirectly from soil moisture, microenvironmental conditions, or bulk tis…
preprints
2026
置信度 0.74
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IoT/LoRa devices emit radiofrequency electromagnetic fields (RF-EMF) ensuring long-range, low-power communication, and their use in precision agriculture continuously expands. Thus the interest in the impact of low intensity but long-term EMF exposure on plant…
preprints
2026
置信度 0.74
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Abstract The smart agricultural monitoring system is playing a crucial role in modern agriculture; it provides accurate and detailed information about fields and crops. However, relatively high noise outside or inside the system affects data analysis and signa…
preprints
2026
置信度 0.74
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Image-based crop and pest recognition is considered useful for reducing the delay and cost of manual field scouting, therefore supporting timely intervention in precision-agriculture workflows. However, the real field imagery remains challenging due to the clu…
preprints
2026
置信度 0.74
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Crop diseases and pests pose significant threats to global food security, demanding precise and efficient management solutions. While Multimodal Large Language Models (M-LLMs) offer promising avenues for intelligent agricultural diagnosis, general-purpose mode…
preprints
2026
置信度 0.74
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Abstract Background Guava (Psidium guajava) is one of the most economically and nutritionally significant tropical fruit crops, yet it remains highly vulnerable to fungal and pest-borne diseases that severely diminish yield and commercial quality. Automated an…
preprints
2026
置信度 0.74
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Abstract Accurate detection of strawberry fruit and reliable estimation of ripeness are essential for automated harvesting and yield prediction in smart farming. However, real-world environments introduce significant challenges, including occlusion, illuminati…
europepmc
Mohieddine Jelali, Fabian Gerz, Orhan-Timo Altan, Loui Al-Shrouf
2026
置信度 0.80
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This study presents a comprehensive Life Cycle Assessment (LCA) of seven peanut-derived products processed in central Argentina, aiming to quantify their environmental impacts from agricultural production to end-of-life. The research is framed within the devel…
preprints
2026
置信度 0.74
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Abstract Spatio-temporal fusion (STF) has been widely used across various remote sensing applications, including environmental monitoring, land cover change detection, and water resource management by integrating multi-sensor data with different spatial and te…
preprints
2026
置信度 0.74
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Accurate short-term forecasting of key meteorological variables—air temperature, relative humidity, and wind speed—remains challenging in tropical and sub-Saharan regions due to strong diurnal cycles, seasonal variability, and non-stationary dynamics. To addre…
preprints
2026
置信度 0.74
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Soft robotic grippers excel in unstructured manipulation but suffer catastrophic failure rates (72%) when grasping deformable organics, fabrics, and mixed debris due to hyperchaotic pneumatic dynamics. This paper introduces the first Lyapunov stability control…
europepmc
2026
置信度 0.80
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Abstract Agriculture: the backbone of livelihood in India, where a significant portion of the economy is dependent on agriculture. And with a burgeoning population, agricultural systems come under pressure to supply enough, high-quality yields to guarantee foo…
preprints
2026
置信度 0.74
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Accurate and efficient fruit detection is essential for precision agriculture, particularly in densely occluded crops such as kiwifruit. This study presents a comprehensive benchmarking and optimization framework covering YOLOv8–YOLOv11 architectures for kiwi …
europepmc
2025
置信度 0.80
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Rice is a significant food that plays a vital part in delivering nutrition to the world's population. Hence, approaches for assessing rice yield have received considerable study. The amount of rice seedlings (density) is a main agronomic module. It is related …
europepmc
2026
置信度 0.80
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The transition to sustainable agricultural systems increasingly depends on the effective adoption of precision agriculture (PA) technologies. In the United States, Extension agents serve as key facilitators of agricultural innovation and play a critical role i…
europepmc
Chin-Ling Lee, Ginger Orton, Luan Oliveira
2026
置信度 0.80
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Introduction Root diseases in crops are increasingly becoming the most difficult to control due to the challenge of fungicides reaching infection sites. Honokiol, a natural fungicidal product derived from Magnolia officinalis , is primarily biosynthesized in l…
europepmc
Zhangguang Cao, Guoyu Wei, Amir Khan, Anlong Hu 等
2026
置信度 0.80
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ABSTRACT Global farm productivity is constantly under attack from pests and diseases, resulting in massive crop loss and food insecurity. Manual scouting, expert estimation, and laboratory‐based microscopy are time‐consuming, prone to human error, and labor‐in…
europepmc
Muhammad Bilal, Asghar Ali Shah, Sagheer Abbas, Muhammad Adnan Khan
2025
置信度 0.80
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The world population is expected to grow to over 10 billion by 2050 and therefore impose further stress on food production. Precision agriculture has become the main approach used to enhance productivity with sustainability in agricultural production. This pap…
europepmc
2025
置信度 0.80
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This study showcases and validates a fully-printed, low-cost microneedles (MNs) device integrated with environmental sensors and NFC wireless readout for real-time monitoring of changes in plant total ionic conductivity. The Aerosol-Jet printed MNs patch enabl…
europepmc
2026
置信度 0.80
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Robust plant disease detection in real-world agricultural environments remains challenging due to dynamic environmental conditions. Accurate and reliable disease identification is essential for precision agriculture and effective crop management. Although comp…
europepmc
2026
置信度 0.80
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Grapes are widely cultivated fruit crops, essential for fresh consumption, winemaking and dried product production. However, their yield and quality are significantly impacted by various fungal diseases. This paper provides a large dataset of 2,726 high-qualit…
europepmc
2025
置信度 0.80
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This study introduces two novel hybrid nature-inspired optimization algorithms designed to enhance artificial neural network (ANN) performance in crop recommendation, leveraging remote sensing data from Landsat 8 and 9 platforms. The first hybrid approach comb…
europepmc
2026
置信度 0.80
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Multi-agent path planning for Unmanned Aerial Vehicles (UAVs) in agricultural data collection tasks presents a significant challenge, requiring sophisticated coordination to ensure efficiency and avoid conflicts. Existing multi-agent reinforcement learning (MA…
europepmc
2025
置信度 0.80
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Sustainable precision agriculture has become increasingly vital for enhancing crop productivity, minimizing environmental impact, and ensuring global food security. Potato leaf diseases, such as blight, pose significant threats to crop yield. The accurate and …
europepmc
2025
置信度 0.80
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Proper detection and treatment of plant leaf diseases are essential factors for achieving good crop yields and ensuring food security. Convolutional Neural Networks (CNNs) have shown significant potential for classifying diseases from leaf images. Instead, mos…
europepmc
B. Surekha, T. Subha Mastan Rao
2026
置信度 0.80
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Wearable sensors are emerging and innovative tools in the realm of agriculture, offering new opportunities for sustainable plant monitoring practices. This perspective explores wearable sensor technology in plant monitoring to promote environmental sustainabil…
europepmc
2025
置信度 0.80
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Introduction Early and accurate detection of pumpkin leaf diseases is essential for precision agriculture; however, manual inspection remains slow, subjective, and difficult to scale in real field environments. To address these limitations, this study proposes…
europepmc
2025
置信度 0.80
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Lettuce ( Lactuca sativa ), a widely cultivated leafy vegetable, is highly susceptible to bacterial and fungal infections that severely reduce yield and quality. Rapid and accurate disease identification is therefore essential for precision agriculture and sus…
europepmc
2025
置信度 0.80
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Moringa Oleifera, which has outstanding nutritional and health benefits, is prized around the world because its leaves are rich in essential vitamins, antioxidants, and minerals that support digestion, help the immune system, and fight inflammation. Still, gro…
pubmed
Preanto SA, Paul T, Khan A, Bijoy MHI
2025
置信度 0.82
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Real-time, accurate assessment of crop conditions is key to effective decision-making in precision agriculture. This study proposes an enhanced deep-learning framework that jointly investigates YOLOv8 and the newly released YOLOv11 object-detection architectur…
europepmc
2026
置信度 0.80
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ObjectiveThis study aimed to evaluate how Internet of Things (IoT) technologies can enhance nutrient efficiency, water management and sustainability in agriculture through real-time control and monitoring systems. Specifically, it compared IoT-managed greenhou…
europepmc
2026
置信度 0.80
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Precision agriculture is an enactment of increasing the profitability of crop yields by means of efficient farming practices. In India, farmers can monitor the situations of their surroundings and the ecosystem using precision agriculture in a short period of …
europepmc
2026
置信度 0.80
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Amid escalating global population pressures and resource depletion that strain traditional agriculture, precision agriculture emerges as a transformative solution, leveraging advanced technologies to enhance productivity, reduce environmental impacts, and alig…
europepmc
2026
置信度 0.80
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Driven by the dual imperatives of global food security and agricultural sustainability, dynamic plant nitrogen monitoring technology has emerged as a research focus in precision agriculture. This technology represents a critical breakthrough over traditional m…
europepmc
2026
置信度 0.80
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europepmc
2026
置信度 0.80
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Plant diseases cause major crop losses worldwide, making early detection essential for sustainable farming. Traditional methods need large training datasets, are expensive, and may overfit. In leaf image analysis, convolutional neural networks (CNNs) have reve…
europepmc
Murugavalli S, Gopi R
2025
置信度 0.80
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Ensuring plant health and crop quality is vital for sustainable modern agriculture. Conventional detection methods for stress markers, contaminants, and pathogens are often constrained by labor-intensive procedures, bulky equipment, and reliance on centralized…
europepmc
2025
置信度 0.80
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Crop diseases and insect pests pose significant challenges to agricultural productivity, often resulting in considerable yield losses. Traditional pest recognition methods, which rely heavily on manual feature extraction, are not only time consuming and labor …
europepmc
2025
置信度 0.80
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[This corrects the article DOI: 10.3389/fpls.2025.1564394.].
europepmc
2025
置信度 0.80
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Considering the present environmental concerns, nanomaterial-based methods should be applied to achieve the bioeconomic sustainability initiatives and climate change mitigation. Plants and plant extracts are one of the most underused biomass and bioactive ingr…
europepmc
2026
置信度 0.80
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Introduction Plant phenotyping is a critical area in agricultural research that focuses on assessing plant traits quantitatively to enhance productivity and sustainability. While traditional methods remain important, they are constrained by the complexity of p…
europepmc
2025
置信度 0.80
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Background To address the challenge of real-time plant monitoring in greenhouse environments, this industry-driven research focuses on developing an autonomous quadrotor UAV system specifically designed for monitoring strawberry plants. Traditional methods for…
europepmc
2025
置信度 0.80
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The integration of artificial intelligence (AI) in precision agriculture marks a transformative step toward sustainable, efficient, and data-driven farming practices. By merging AI with predictive analytics and autonomous monitoring systems, agriculture is emp…
europepmc
2026
置信度 0.80
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Early detection of nutrient deficiencies is crucial for optimizing crop yields and ensuring sustainable agricultural practices. This study presents a novel application of the YOLOv8s object detection model for identifying nitrogen, phosphorus, and potassium de…
europepmc
2025
置信度 0.80
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[This corrects the article DOI: 10.3389/fpls.2025.1472688.].
pubmed
El Akrouchi M, Mhada M, Gracia DR, Hawkesford MJ 等
2025
置信度 0.82
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Traditional farming methods, effective for generations, struggle to meet rising global food demands due to limitations in productivity, efficiency, and sustainability amid climate change and resource scarcity. Precision agriculture presents a viable solution b…
europepmc
2025
置信度 0.80
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This study presents a deep learning-based image segmentation approach for leaf disease identification using the U-Net architecture. Convolutional neural networks (CNNs), particularly U-Net, are effective for precise segmentation tasks and were trained and vali…
europepmc
2025
置信度 0.80
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Agriculture 5.0 is a principal economic activity in the world with major workforce dependent crops cultivation. An automated system for crops field insect pest identification can help decrease labour, while also improving the speed and precision in compared to…
pubmed
Khullar V, Kansal I, Bhattacharjee SB, Tasneem Z 等
2025
置信度 0.82
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Introduction Soybean diseases pose a significant threat to global crop yield and food security, necessitating rapid and accurate identification for effective management. While deep learning offers promising solutions for plant disease recognition, existing mod…
europepmc
2025
置信度 0.80
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To strengthen the agriculture sector, it is crucial to combine the efforts of industrialization (field mechanization and fertilizer production), technology (genome editing and manipulation), and the information sector (for the application of current technologi…
europepmc
Vinay Kumar, Ashwini Zadokar, Pankaj Kumar, Rohit Sharma 等
2025
置信度 0.80
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Recently, Hu et al. demonstrated through multispecies experiments that herbivory-induced plant volatiles (HIPVs) enrich beneficial rhizosphere bacteria via jasmonate-dependent plant-soil feedback (PSF), significantly enhancing the growth and insect resistance …
europepmc
2025
置信度 0.80
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Introduction The rapid growth of the global population and intensive agricultural activities has posed serious environmental challenges. In response, there is an increasing demand for sustainable agricultural solutions that ensure efficient resource utilizatio…
europepmc
2025
置信度 0.80
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In this study, we introduce a groundbreaking deep learning (DL) model designed for the precise task of classifying common diseases in tea leaves, leveraging advanced image analysis techniques. Our model is distinguished by its complex multi-layer architecture,…
europepmc
2025
置信度 0.80
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Quinoa is a resilient, nutrient-rich crop with strong potential for cultivation in marginal environments, yet it remains underutilized and under-researched, particularly in the context of automated yield estimation. In this study, we introduce a novel deep lea…
europepmc
2025
置信度 0.80
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Background Automated fruit defect detection plays a critical role in improving postharvest quality assessment and supporting decision-making in agricultural supply chains. Guava defect detection presents specific challenges because of diverse disease types, va…
europepmc
2025
置信度 0.80
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Cotton production is a crucial agricultural industry, a raw material source for the textiles sector and a major source of livelihood for more than 30 million farmers globally. The yield and quality of cotton (Gossypium) are influenced by different types of str…
europepmc
2025
置信度 0.80
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Modern agriculture relies more on technology to boost food production. It aims to improve both the quality and quantity of food. This paper introduces a novel TCRM (Transformative Crop Recommendation Model). It uses advanced machine learning and cloud platform…
europepmc
Gurpreet Singh, Sandeep Sharma
2025
置信度 0.80
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Corn ( Zea mays ), commonly referred to as Indian wheat, is a widely cultivated tropical annual herbaceous plant of the Poaceae family. It is primarily grown for its starch-rich grains and as a forage crop. In Cameroon, corn is the most consumed cereal, surpas…
europepmc
2025
置信度 0.80
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Introduction Early and accurate detection of crop stress is vital for sustainable agriculture and food security. Traditional vegetation indices such as NDVI and NDWI often fail to detect early-stage water and structural stress due to their limited spectral sen…
europepmc
2025
置信度 0.80
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Real-time, in situ soil diagnostics are increasingly relevant for precision agriculture, but their efficacy under varying field and climatic conditions remains underexplored. This study assesses the 2022/23 version of the Stenon FarmLab, a multi-sensor soil an…
europepmc
2025
置信度 0.80
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Precision Agriculture (PA) manages field heterogeneities and enables informed site-specific management. While PA helps improve farming efficiency and profitability, challenges prior to and following PA adoption can prevent many farmers from widely using it. Th…
europepmc
2024
置信度 0.80
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Despite seemingly inexorable imminent risks of food insecurity that hang over the world, especially in developing countries like Pakistan where traditional agricultural methods are being followed, there still are opportunities created by technology that can he…
europepmc
2024
置信度 0.80
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Abiotic stresses are a leading cause of crop loss and a severe peril to global food security. Precise and prompt identification of abiotic stresses in crops is crucial for effective mitigation strategies. In recent years, Deep learning (DL) techniques have dem…
europepmc
2025
置信度 0.80
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Vegetables are one of the most essential parts of the agricultural sector and the food supply chain; therefore, the identification and categorization of vegetable types require effective strategies. In this paper, we introduce the Vegetable Image Dataset, whic…
europepmc
2025
置信度 0.80
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Plant diseases affect the quality and quantity of agricultural products and have an impact on food safety. These effects result in a loss of income in the production sectors which are particularly critical for developing countries. Visual inspection by subject…
europepmc
2024
置信度 0.80
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Small-scale farmers in the southeastern United States face increasing challenges in sustaining forage production due to erratic rainfall, poor soils, and limited access to precision agricultural tools. These constraints demand site-specific solutions that inte…
europepmc
2025
置信度 0.80
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The economic development of many countries largely depends on tea plantations that suffer from diseases adversely affecting their productivity and quality. This study presents a high-resolution dataset aimed at advancing precision agriculture for managing tea …
europepmc
2025
置信度 0.80
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As the world population is increasing day by day, so is the need for more advanced automated precision agriculture to meet the increasing demands for food while decreasing labor work and saving water for crops. Recently, there have been many studies done in th…
europepmc
2025
置信度 0.80
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This research aims at analyzing the determinants of the adoption and the intensity of adoption of precision agriculture technologies (PATs) by sugarcane farmers in the state of São Paulo, Brazil. A sample survey of 131 sugarcane farmers provided the data. Six …
europepmc
Carlos Ivan Mozambani, Hildo Meirelles de Souza Filho, Marcela de Mello Brandão Vinholis, Marcelo José Carrer
2023-05-17T11:01:56Z
置信度 0.80
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Effective weed management is crucial for maintaining optimal crop growth and achieve higher yield. Recent advancement in robotic technologies and advanced deep learning (DL) models is shaping the future of robotic weed control systems. However, DL models for w…
europepmc
2025
置信度 0.80
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Hyperspectral imaging acquired from unmanned aerial vehicles (UAVs) offers detailed spectral and spatial data that holds transformative potential for precision agriculture applications, such as crop classification, health monitoring, and yield estimation. Howe…
europepmc
2025
置信度 0.80
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Unmanned aerial vehicles (UAVs) have made significant advances in autonomous sensing, particularly in the field of precision agriculture. Effective path planning is critical for autonomous navigation in large orchards to ensure that UAVs are able to recognize …
europepmc
2024
置信度 0.80
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Through targeted spray applications, precision agriculture can provide not only environmental benefits but also lower production costs, improving farm competitiveness. Nevertheless, few studies have focused on the cost-effectiveness of precision agriculture sp…
europepmc
2025
置信度 0.80
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In the last decades, geostatistics has been widely used for precision agriculture (PA) producing quite exciting results. Research on this topic is important for sustainable agriculture growth in Brazil. The objective of the review is an attempt to outline the …
europepmc
2024
置信度 0.80
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Despite the known benefits of precision agriculture, the adoption is challenging due to the cost of investment and the farm sizes. Therefore, profitability is an important aspect to consider. This study aimed to evaluate the net returns, profitability, and inv…
europepmc
2024
置信度 0.80
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A wearable plant sensor, developed on an eco-friendly substrate, is designed for non-destructive, in-situ, and real-time pesticide analysis on plants and fruits. In this study, we introduce a wearable plant sensor fabricated on a paper substrate using the lase…
europepmc
2025
置信度 0.80
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Precision agriculture has revolutionized crop management and agricultural production, with LiDAR technology attracting significant interest among various technological advancements. This extensive review examines the various applications of LiDAR in precision …
europepmc
2024
置信度 0.80
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Agriculture 4.0 technologies continue to see low adoption among small and medium-sized farmers, primarily because these solutions often fail to account for the specific challenges of rural areas. In this work, we propose and implement a design methodology to d…
europepmc
2024
置信度 0.80
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“This work is funding by the Vine and Wine Portugal Project, co-financed by the RRP–Recovery and Resilience Plan and the European Next Generation EU Funds, within the scope of the Mobilizing Agendas for Reindustrialization, under the reference C644866286-00000…
europepmc
2025
置信度 0.80
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The intensifying challenges posed by global climate change and water scarcity necessitate enhancements in agricultural productivity and sustainability within arid regions. This review synthesizes recent advancements in genetic engineering, molecular breeding, …
pubmed
Xing Y, Wang X
2024
置信度 0.82
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The study focuses on enhancing the effectiveness of precision agriculture through the application of deep learning technologies. Precision agriculture, which aims to optimize farming practices by monitoring and adjusting various factors influencing crop growth…
pubmed
Logeshwaran J, Srivastava D, Kumar KS, Rex MJ 等
2024
置信度 0.82
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There are currently many in-field methods for estimating soil properties (e.g., pH, texture, total C, total N) available in precision agriculture, but each have their own level of suitability and only a few can be used for direct determination of plant-availab…
europepmc
2024
置信度 0.80
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Evaluating high-throughput soil profile information is essential in safflower precision agriculture, as it facilitates efficient resource management and design of an experiment that promotes sustainable production. We collected soil from representative target …
europepmc
2025
置信度 0.80
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Abstract Early detection of nutrient deficiencies is crucial for optimizing crop yields and ensuring sustainable agricultural practices. This study presents a novel application of the YOLOv8s object detection model for identifying nitrogen, phosphorus, and pot…
europepmc
2024
置信度 0.80
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Precision Agriculture Technologies (PATs) are providing a great potential in alleviating adverse impacts arising from climate change. This study evaluates the decision-making process of farmers regarding the adoption and implementation of PATs in potato agricu…
europepmc
2024
置信度 0.80
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Introduction Potatoes and tomatoes are important Solanaceae crops that require effective disease monitoring for optimal agricultural production. Traditional disease monitoring methods rely on manual visual inspection, which is inefficient and prone to subjecti…
europepmc
Ruiqian Qin, Yiming Wang, Xiaoyan Liu, Helong Yu
2024
置信度 0.80
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Climate change pose significant challenges to modern agriculture management systems, threatening food production and security. Therefore, tackling its effects has never been so imperative to attain sustainable food access and nutrition worldwide. In the case o…
pubmed
Pascoal D, Silva N, Adão T, Lopes RD 等
2024
置信度 0.82
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This study presents an innovative hexagonal deployment model designed specifically for wireless sensor networks (WSNs) with a primary application in precision agriculture. The proposed protocol integrates advanced features, notably an adaptive frequency-hoppin…
europepmc
2024
置信度 0.80
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Efficient nitrogen (N) management is critical for sustaining high maize yields while minimizing environmental impacts, as conventional practices often lead to N losses, greenhouse gas emissions, and reduced eco-efficiency. To address these challenges, the "Pus…
europepmc
2025
置信度 0.80