-
Abstract The pressing need for sustainable intensification of agriculture calls attention to the inefficiencies and environmental costs of the Haber–Bosch (H–B) process, a process dating back a century that continues to prevail over nitrogen fixation. Cold non…
preprints
2025
置信度 0.74
-
In this work, a protocol for rice yield data management was established, comprising phases and routines for data collection, cleansing, calibration, homogenization, filtering, analysis, and visualization. Establishment of a protocol was found necessary, consid…
preprints
2025
置信度 0.74
-
Prediction of outcomes is important in personalized medicine, animal and plant breeding. Typical inputs for building prediction models in agriculture include genealogies, molecular markers and phenotypes. Information is seldom complete, i.e., there may be indi…
preprints
2025
置信度 0.74
-
Abstract Broomrape (Orobanche spp.) is a root-parasitic weed that severely threatens tomato crops by siphoning nutrients during subterranean development, often causing irreversible yield losses before above-ground symptoms appear. This study investigates a non…
preprints
2025
置信度 0.74
-
Abstract Generating accurate and visually realistic 3D models of plants from single-view images is crucial yet remains challenging due to plants' intricate geometry and frequent occlusions. This capability matters because it supplements current plant datasets …
preprints
2025
置信度 0.74
-
Abstract The rapid acceleration of digital transformation in the 21st century presents a dual-edged sword for global sustainability efforts. While digital technologies hold immense potential to advance the UN SDGs, their unchecked proliferation risks exacerbat…
preprints
2025
置信度 0.74
-
Abstract Early and accurate detection of plant diseases is essential for integrated pest management (IPM) and sustainable agriculture, yet most current deep learning methods rely heavily on annotated data and fail to generalize across crops and different stage…
preprints
2025
置信度 0.74
-
Abstract 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 me…
preprints
2025
置信度 0.74
-
Abstract Efficient irrigation management is critical for improving water use efficiency, increasing crop productivity, and ensuring long-term sustainability in agriculture. This study presents an Internet of Things (IoT)-enabled fuzzy logic irrigation control …
preprints
2025
置信度 0.74
-
Over the past several centuries, as the global population has experienced a significant increase, there has been a growing need to expand agricultural production and focus on improving the quality of agricultural goods. Contemporary society places emphasis on …
preprints
2025
置信度 0.74
-
Abstract Timely and precise insect pest detection is critical in areas with high agricultural intensity and climates that favor continuous pest activity. Traditional pest identification methods, such as manual inspection or expert guided analysis, are labor in…
preprints
2025
置信度 0.74
-
Accurate diagnosis of crop water demand is a core challenge in alleviating agricultural water scarcity. Traditional methods rely on soil moisture sensors or empirical models based on meteorological data, and have significant limitations. Therefore, developing …
preprints
2025
置信度 0.74
-
Abstract Under phosphorus (P) deficiency, soybean ( Glycine max ) adapts by modifying root architecture, increasing the release of organic exudates, enhancing arbuscular mycorrhizal (AM) colonization, and reshaping rhizosphere microbial communities; however, h…
preprints
2025
置信度 0.74
-
Abstract Accurate yield prediction before maize harvest is crucial for advancing agricultural management and ensuring food security. Unlike conventional approaches that rely on phenotypes from a single growth stage, this study models multiple traits across dif…
preprints
2025
置信度 0.74
-
The integration of Deep Learning (DL) into agriculture marks a transformative shift towards Agriculture 4.0, addressing critical global challenges such as food security, climate change, and resource scarcity. This comprehensive review synthesizes the current s…
europepmc
2025
置信度 0.80
-
Variable-rate nitrogen (VR-N) application allows farmers to optimize nitrogen (N) input site-specifically within field boundaries, enhancing both economic efficiency and environmental sustainability. In this study, VR-N technology was applied to durum wheat in…
europepmc
Alexandros Tsitouras, Christos Noulas, Vasilios Liakos, Stamatis Stamatiadis 等
2025
置信度 0.80
-
Abstract This research examines the knowledge, perceived effects, and alignment of fundamental software evolution principles; Moore’s Law, Brooks’ Law, and Conway’s Law in influencing information and communication technology (ICT) efficiency at the Federal Col…
preprints
2025
置信度 0.74
-
The activities of birds present increasing challenges in agriculture, aviation, and environmental conservation. This has led to economic losses, safety risks, and ecological imbalances. Attempts have been made to address the problem, with traditional deterrent…
preprints
2025
置信度 0.74
-
Sustainable weed management in lentil (Lens culinaris Medik.) production requires accurate knowledge of weed spatial distribution and the site-specific factors influencing infestation patterns. Limited pre- and post-emergence herbicide options for pulse crops …
preprints
2025
置信度 0.74
-
Abstract Greenhouse farming plays a vital role in enhancing agricultural productivity, yet it often suffers from inefficient resource management and delayed disease detection. This paper presents a novel solar-powered Smart Greenhouse Management System (SGHMS)…
europepmc
2025
置信度 0.80
-
Abstract The rapid advancement of digital technologies in agriculture has transformed crop monitoring, particularly through the use of remote sensing and Geographic Information Systems (GIS). These tools have proven indispensable in assessing crop growth dynam…
preprints
2025
置信度 0.74
-
Artificial Intelligence (AI) and Machine Learning (ML) have rapidly evolved into transformative technologies that are reshaping diverse sectors, ranging from healthcare and genomics to global supply chain management and sustainable development initiatives. In …
preprints
2025
置信度 0.74
-
Abstract Background Tuberculosis (TB) remains a major public health challenge in India, particularly among rural populations with overlapping biological, behavioural, and occupational vulnerabilities. This study estimated the burden of self-reported TB and exa…
preprints
2026
置信度 0.74
-
Technological advances have made drones (UAVs) increasingly important tools for the collection of trait data in plant science. Many costs for the analysis of plant populations have dropped precipitously in recent decades, particularly for genetic sequencing. S…
preprints
2025
置信度 0.74
-
Rice production faces ongoing challenges related to efficiency, sustainability, and input management, particularly in Asia and Africa. This meta-analysis evaluates the effectiveness of process improvement methodologies in rice farming, including Lean, Six Sigm…
preprints
2025
置信度 0.74
-
Abstract Early and accurate detection of plant diseases is essential for integrated pest management (IPM) and sustainable agriculture, yet most current deep learning methods rely heavily on annotated data and fail to generalize across crops and different stage…
preprints
2025
置信度 0.74
-
(1) Background: Amidst the unending global concern over climate change and its detrimental impacts on agricultural productivity, this study investigated climatic conditions maximum yield of selected arable crops, and the causes of variability. (2) Methods: Usi…
europepmc
2025
置信度 0.80
-
Programmable DNA devices represent a transformative frontier in biosensing technology, offering unprecedented precision, adaptability, and miniaturization. These devices—ranging from DNA nanostructures and aptamer-based sensors to gene circuits and DNA strand …
preprints
2025
置信度 0.74
-
Abstract Traditional fiber-optic spectrometers, while featuring compact designs and high sensitivity, are constrained to single-point spectral acquisition with limited spatial resolution, thereby restricting their broder applications. Although existing commerc…
preprints
2025
置信度 0.74
-
The sustainable management of farmland soils is fundamental to addressing the intertwined challenges of food security, environmental degradation, and climate change. This review synthesizes current knowledge on key management practices—crop rotation, no-tillag…
preprints
2025
置信度 0.74
-
Soil moisture is a key parameter in agriculture. Its accurate prediction is essential for effective irrigation scheduling and water use efficiency. This study introduces a hybrid approach integrating Long Short-Term Memory (LSTM) network and Extreme Gradient B…
preprints
2025
置信度 0.74
-
Whole-genome sequencing (WGS) of microbial pathogens provides a high-resolution approach to antibiotic resistance profiling, lineage classification, and outbreak surveillance. Identification of single nucleotide polymorphisms (SNPs) across the genome by alignm…
preprints
2025
置信度 0.74
-
Abstract Accurate segmentation of leaf area is a critical task in plant phenotyping and precision agriculture, as it directly impacts yield estimation, disease monitoring, and weed management. Conventional Convolutional Neural Networks (CNNs), such as UNet and…
preprints
2025
置信度 0.74
-
Bacterial wilt caused by the Ralstonia solanacearum species complex (RSSC) is a devastating plant disease with a broad host range. Early detection is critical for disease management, yet conventional methods lack speed and specificity. This study developed a r…
preprints
2025
置信度 0.74
-
ABSTRACT Lettuce, one of the most consumed leafy greens globally, offers significant health benefits due to its high vitamin, mineral, and fiber content. However, Fusarium wilt, a soil-borne fungus, threatens lettuce yields by reducing both quality and quantit…
preprints
2025
置信度 0.74
-
Agriculture plays a crucial part in the economy of many countries, particularly in de-veloping nations, where farming serves as the primary source of income for many in-dividuals. This study aims to enhance agricultural productivity through three key areas: yi…
preprints
2025
置信度 0.74
-
Abstract The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) is redefining soil health monitoring, ushering in a new era of intelligent, data-driven agriculture. This paper explores the cutting-edge integration of AI and IoT techno…
preprints
2025
置信度 0.74
-
The paper develops the Mountain Precision Agriculture Index realized in 2020 at Oradea University – Doctoral School, Agronomy Specialization (Covaci-Sterpu, 2020). The article points the importance of entrepreneurship development, focusing on precision agricul…
europepmc
2025
置信度 0.80
-
Abstract Citrus fruits, especially lemons, play a vital economic and nutritional role worldwide but are increasingly threatened by a wide range of diseases that diminish yield quality and quantity. Traditional manual and automated methods for disease detection…
preprints
2025
置信度 0.74
-
Sustainable agricultural development in Vietnam faces critical challenges related to pest management, biodiversity conservation, and ecological resilience. This study presents a multifaceted approach that integrates molecular taxonomy, biological control, and …
preprints
2025
置信度 0.74
-
Modern agriculture is at a crossroads, facing the dual crises of growing fungicide resistance and the adverse environmental impact of conventional agrochemicals. This scenario demands a paradigm shift that goes beyond the simple substitution of chemical produc…
preprints
2025
置信度 0.74
-
Abstract This paper presents a novel approach to automated plant disease detection and classification using advanced image processing and deep learning techniques. Early detection of plant diseases is crucial for sustainable agricultural practices and food sec…
preprints
2025
置信度 0.74
-
Precision detection of orchard tree canopies and non-target areas is critical for minimizing chemical overuse and enhancing the sustainability of smart agricultural systems. Pesticide application methods often result in excessive agrochemical application and e…
preprints
2025
置信度 0.74
-
The ‘genetic zipper’ method, based on CUAD (Contact Unmodified Antisense DNA) biotechnology, briefly CUADb or ‘genetic zipper’ method, represents a major breakthrough in eco-friendly pest control. This innovative approach employs short, unmodified antisense DN…
preprints
2025
置信度 0.74
-
Abstract Tomato leaf disease poses a significant threat to global agricultural productivity, underscoring the need for accurate and automated segmentation techniques for early detection and intervention. In this study, we proposed DSGSU-Net, an enhanced U-Net-…
preprints
2025
置信度 0.74
-
Rice leaf disease poses a significant threat to global food security and ecological stability. While existing studies predominantly concentrate on detecting symptoms after visible lesions emerge, early-stage disease features—which are often subtle—are critical…
preprints
2025
置信度 0.74
-
Stones in agricultural fields pose a recurring challenge, particularly due to their potential to damage agricultural machinery and disrupt field operations. As modern agriculture moves toward automation and precision farming, efficient stone detection has beco…
preprints
2025
置信度 0.74
-
Accurate banana yield prediction is essential for optimizing agricultural management and ensuring food security in tropical regions, yet traditional estimation methods remain labor-intensive and error - prone. This study developed a predictive model for banana…
preprints
2025
置信度 0.74
-
Abstract Achieving sustainability in livestock farming requires advanced, non-invasive monitoring systems that enhance both productivity and animal welfare. Traditional methods for assessing dairy cow ingestive behavior, such as manual observation and sensor-b…
europepmc
Mayuri Kate, Suresh Neethirajan
2025
置信度 0.80
-
Object detection has emerged as a transformative technology in precision agriculture, driving significant advancements in crop monitoring, weed management, pest detection, and autonomous field operations. This review provides a comprehensive synthesis of objec…
preprints
2025
置信度 0.74
-
Accurate and verifiable landholding data are essential for precision agriculture, underpinning equitable water distribution, effective irrigation scheduling, and evidence-based agricultural planning. In many developing contexts, however, legacy land records, c…
preprints
2025
置信度 0.74
-
Droughts significantly impact agriculture, water resources, and ecosystems. Their timely detection is essential for implementing effective mitigation strategies. This study explores the use of multispectral Sentinel-2 remote sensing indices and machine learnin…
preprints
2025
置信度 0.74
-
Abstract The agriculture sector is responsible for the majority of food production in Bangladesh. However, rapid urbanization and various anthropogenic factors have accelerated the rate of climate change, posing a significant threat to food security. This stud…
preprints
2025
置信度 0.74
-
Food security and sustainable agriculture rely heavily on the timely detection and classification of plant diseases. In this study, we investigate the performance of the You Only Look Once (YOLO) object detection algorithm—specifically versions v5, v7, and v8—…
preprints
2025
置信度 0.74
-
Drought and excess ambient temperature intensify abiotic and biotic stresses on agriculture, threatening food security and economic stability. The development of climate-resilient crops is crucial for sustainable, efficient farming. This review highlights the …
preprints
2025
置信度 0.74
-
Accurately predicting livestock movement is a cornerstone of precision agriculture and UAV-based livestock monitoring, enabling smarter resource management, improved animal welfare, and enhanced productivity. However, the unpredictable and dynamic nature of li…
preprints
2025
置信度 0.74
-
The underrepresentation of Central Asian genomic data has constrained our understanding of their demographic history and hindered advancements in precision medicine and health equity. Despite the region’s rich historical tapestry, characterized by numerous tra…
preprints
2025
置信度 0.74
-
Artificial Intelligence (AI) holds significant potential to enhance sustainable non-chemical agricultural methods (NCAM) by optimising resource management, automating precision farming practices, and improving climate resilience. Yet, its widespread adoption a…
preprints
2025
置信度 0.74
-
Abstract Barley head detection is a crucial task for agricultural applications such as yield estimation and crop monitoring. Unlike wheat, automated barley head detection has not been extensively studied due to challenges posed by its complex head structures a…
preprints
2025
置信度 0.74
-
Plant diseases pose a significant threat to global agriculture, leading to substantial crop losses and economic damage. Traditional deep learning methods for plant disease recognition require large labeled datasets, which are often unavailable for rare or emer…
preprints
2025
置信度 0.74
-
Extracting the irregular and complex shapes of individual tree crowns from high-resolution imagery can play a crucial role in many applications, including precision agriculture. We evaluated three CNN models - MASK R-CNN, YOLOv3, and SAM - and compared their t…
preprints
2025
置信度 0.74
-
Abstract Fourier Transform Infrared Spectroscopy (FTIR) has emerged as a powerful and non-destructive analytical technique for characterizing chemical and structural properties of soil. This study aims to apply FTIR spectroscopy to evaluate the changes in soil…
preprints
2025
置信度 0.74
-
Abstract In recent years, non-destructive and non-invasive methods for 3D plant reconstruction have gained importance in plant phenotyping. Morphological traits reflect a plant’s physiological status and serve as key indicators for precision agriculture, crop …
preprints
2025
置信度 0.74
-
Abstract Soil nutrient depletion and inefficient fertilizer management remain major challenges for sustainable agriculture in Tanzania’s Southern Highlands. This study evaluates a low-cost, non-invasive dielectric sensing approach to monitor soil nutrient and …
preprints
2025
置信度 0.74
-
In China, schistosomiasis is targeted for elimination. As the country approaches elimination, it is critical to evaluate how the dynamics of transmission are changing in remaining pockets of disease. We have been studying areas of schistosomiasis reemergence a…
preprints
2025
置信度 0.74
-
Abstract Invasive pests pose significant threat to agricultural production, specifically, Maize crops production, with severe implications for food security in many regions. Therefore, timely detection of pest development stages and accurate prediction of pote…
preprints
2025
置信度 0.74
-
Abstract Pepper, Hibiscus, and Basil are medicinal plants with a rich history in traditional medicine and health benefits. They are essential in culinary and medicinal applications, contributing to natural health solutions. Disease detection is crucial to prot…
preprints
2025
置信度 0.74
-
The integration of Artificial Intelligence (AI), Internet of Things (IoT), edge computing, and satellite-based connectivity is revolutionizing modern agriculture by enabling real-time monitoring, data-driven decision-making, and optimized resource management. …
preprints
2025
置信度 0.74
-
Abstract Automated crop and weed detection is a crucial advancement in precision agriculture, enabling efficient weed management while reducing herbicide use and labour costs. This study focuses on developing a machine learning model using google teachable mac…
preprints
2025
置信度 0.74
-
Whole-genome sequencing (WGS) of microbial pathogens provides a high-resolution approach to antibiotic resistance profiling, lineage classification, and outbreak surveillance. Identification of single nucleotide polymorphisms (SNPs) across the genome by alignm…
preprints
2025
置信度 0.74
-
The advancement of precision livestock farming hinges not only on breakthroughs in artificial intelligence (AI), but also on overcoming practical challenges in deploying these technologies within real-world farm environments. To bridge this gap, we present Dai…
preprints
2025
置信度 0.74
-
Deployment of Unmanned Aerial Vehicles (UAVs) continues to expand rapidly across a wide range of applications, including environmental monitoring, military surveillance, precision agriculture, and disaster response. Despite their increasing ubiquity, UAVs rema…
preprints
2025
置信度 0.74
-
Abstract Image-based approaches, acting as nondestructive and rapid techniques, merge image analysis and machine learning techniques to attain automatic inspection and evaluation, for discriminating and classifying varieties of grains through morphological, co…
preprints
2025
置信度 0.74
-
Abstract Spatio-temporal analysis is a powerful tool for exploring geo-referenced data containing space and time information. The models are often visualized through maps to represent the spatial dependence and temporal correlation over time. Therefore, this s…
preprints
2025
置信度 0.74
-
Traditional crop delivery methods, such as foliar spray and soil application, face significant limitations, including nutrient loss, environmental impacts, and low delivery efficiency. Recent advances in nanomaterials have offered novel molecular delivery plat…
preprints
2025
置信度 0.74
-
Tomato cultivation is a significant field crop operation in the world and a primary source of yield. Tomato plants are more susceptible to many diseases, which impact yield and product quality. The detection of disease by conventional methods, such as visual i…
europepmc
2025
置信度 0.80
-
This paper explores the critical need for empowering emerging farmers within vulnerable communities through vocational adult education (VAE) approaches. It illuminates the persistent challenges of illiteracy, poverty, and the impact of climate change on agricu…
preprints
2025
置信度 0.74
-
Abstract Accurate landscape feature classification is a critical component of precision agriculture, enabling targeted on-farm management practices such as weed control and variable rate applications. Machine and deep learning models, including Convolutional N…
preprints
2025
置信度 0.74
-
The integration of cloud computing, IoT, and artificial intelligence (AI) is transforming precision agriculture by enabling real-time monitoring, data analytics, and dynamic control of environmental factors. This study develops a cloud-driven data analytics pi…
preprints
2025
置信度 0.74
-
Specialized host-microbe interfaces are central to cellular interactions in plants. Intracellular structures such as haustoria formed by filamentous pathogens mediate nutrient exchange and effector delivery to host cells. Despite their biological importance, t…
preprints
2026
置信度 0.74
-
Abstract Leaf Chlorophyll Concentration (LCC) is a vital biochemical parameter for assessing plant status due to its essential role in physiological activities, photosynthesis, and overall plant health. In order to illustrate the development of potato crops an…
preprints
2025
置信度 0.74
-
Quantifying methane (CH₄) emissions is essential for climate change mitigation, yet current estimation methods often suffer from substantial uncertainties, particularly at the site level. This study introduces a drone-based approach for measuring CH₄ emissions…
preprints
2025
置信度 0.74
-
Plants have long adapted to the earth’s changing environmental patterns. Yet, 1 with the current rise of abiotic stresses, such as salinity, temperatures, drought, and nutrient 2 depletion occurring at unpredictable rates threaten global agriculture. If this p…
preprints
2025
置信度 0.74
-
Abstract This study investigates the effectiveness of Sentinel-1 synthetic aperture radar (SAR) and Sentinel-2 optical imagery for crop classification using the Random Forest (RF) algorithm. We aim to assess the potential of combining these two datasets for im…
preprints
2025
置信度 0.74
-
The development of artificial intelligence (AI) is drastically changing the agricultural scene and opening hitherto unheard-of chances to improve output, promote sustainability, and create resilience within food-producing systems all around. From thorough stud…
preprints
2025
置信度 0.74
-
Abstract Background Faba bean ( Vicia faba L.) is a key crop for sustainable agriculture in temperate cropping systems due to its nitrogen-fixing ability and high protein content, but its productivity is increasingly threatened by drought stress driven by clim…
preprints
2025
置信度 0.74
-
Abstract Plant growth is intricately regulated by soil ecosystems, where dynamic interactions between plants and soil metabolites shape root development. As critical mediators of these interactions, soil metabolites not only reflect biogeochemical cycling but …
preprints
2025
置信度 0.74
-
Abstract Irrigation water is crucial for global food security, but it is increasingly vulnerable to climate change. This study utilizes Coupled Model Intercomparison Project Phase 6 (CMIP6) General Circulation Models (GCMs) to project future crop and irrigatio…
preprints
2025
置信度 0.74
-
Accurate estimation of soil properties is crucial for optimizing agricultural practices and promoting sustainable resource management. Hyperspectral imaging provides a non-invasive means of quantifying key soil parameters, but effectively utilizing the high-di…
preprints
2025
置信度 0.74
-
Abstract Carbon offsetting mechanisms promise to mitigate climate change and provide economic development opportunities, yet their actual economic impacts are poorly understood. Here, we leverage large language models to identify and analyze a global network o…
preprints
2026
置信度 0.74
-
The advent of CRISPR/Cas systems has revolutionized plant genome engineering, transitioning from traditional single-gene edits to sophisticated multiplex genome editing strategies capable of simultaneously targeting multiple loci. This review provides an in-de…
preprints
2025
置信度 0.74
-
Accurate soil moisture (SM) monitoring at high spatial resolution remains challenging in heterogeneous tropical landscapes, where terrain, vegetation, and soil properties interact to drive complex hydrological dynamics. This study develops a Relative Soil Mois…
preprints
2025
置信度 0.74
-
Efficient nitrogen assimilation in crops remains a priority for sustainable agriculture. This study evaluated the effects of foliar iodine nanoparticles (INPs) on nitrogen metabolism, yield, and physiological performance in Lactuca sativa L. cv. Butterhead, in…
preprints
2025
置信度 0.74
-
Excessive macronutrients—particularly nitrogen (N), phosphorus (P), and carbon (C)—contribute to eutrophication, algal blooms, and water quality degradation in both aquatic and agricultural ecosystems. Traditional nutrient monitoring methods are time-intensive…
preprints
2025
置信度 0.74
-
This survey paper focuses on area coverage and security aspects in wireless sensor networks. It attempts to address the major critical issues related to both of them, and present solutions to address them. In fact, the complete function of wireless sensor netw…
preprints
2025
置信度 0.74
-
This study investigates the application of modified Wasserstein Generative Adversarial Networks with Gradient Penalty (WGAN-GP) to generate synthetic RGB and infrared (IR) datasets for precision agriculture, particularly targeting the detection of Raphanus Rap…
preprints
2025
置信度 0.74
-
The adoption of precision livestock farming (PLF) and advanced artificial intelligence enabled computing technologies is radically altering intensive animal agriculture, yet it also raises urgent questions about animals autonomy. In this critical review, I exa…
preprints
2025
置信度 0.74
-
Abstract Efficient and adaptable text classification systems are required due to the increasing expansion of Amharic electronic documents in order to manage and extract important insights from large amounts of data. Traditional natural language processing (NLP…
preprints
2025
置信度 0.74
-
Hyperspectral Remote Sensing allows the accurate analysis of the developmental stages of insects and their interactions with biocontrol agents. This study spectrally characterizes the life stages of Diatraea saccharalis and evaluates the physiological response…
preprints
2025
置信度 0.74
-
Abstract A machine vision-based walk-behind cotton fertilizer applicator was developed to overcome the challenges of conventional fertilizer applicators. Existing fertilizer applicators are associated with various operational challenges, such as excessive disc…
preprints
2025
置信度 0.74