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precision agriculture

GeneTech 知识引擎共收录 111 篇相关科研实体，横跨 14 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

年度产出趋势

代表性文献（按质量分排序，前 60 条）

• AgriGuard AI: A Cloud-Agnostic Multi-Agent System for Precision Agriculture
  2026 · AI Agent 生态 · Agriculture remains one of the most operationally complex and environmentally sensitive industries in the modern world. This paper presents AgriGuard AI, a cloud-agnostic multi-agent agricultural intelligence system inte…
• AgriGuard AI: A Cloud-Agnostic Multi-Agent System for Precision Agriculture
  2026 · AI Agent 生态 · Agriculture remains one of the most operationally complex and environmentally sensitive industries in the modern world. This paper presents AgriGuard AI, a cloud-agnostic multi-agent agricultural intelligence system inte…
• UAV-Based Crop Disease Detection Using Hybrid AI and IoT Integration
  2026 · 智慧农业 · Timely identification of crop diseases is essential for improving agricultural productivity and ensuring food security. This paper presents an intelligent crop disease detection framework that integrates Unmanned Aerial …
• UAV-Based Crop Disease Detection Using Hybrid AI and IoT Integration
  2026 · 智慧农业 · Timely identification of crop diseases is essential for improving agricultural productivity and ensuring food security. This paper presents an intelligent crop disease detection framework that integrates Unmanned Aerial …
• Location Aware and Environmental Condition for Smart Crop Prediction and Calendar Generation Using ML
  2026 · 智慧农业 · Agriculture plays a vital role in ensuring both and potential financial setbacks. Advancements in machine learning offer promising solutions to these challenges by selecting the most suitable crops remains a significant …
• Location Aware and Environmental Condition for Smart Crop Prediction and Calendar Generation Using ML
  2026 · 智慧农业 · Agriculture plays a vital role in ensuring both and potential financial setbacks. Advancements in machine learning offer promising solutions to these challenges by selecting the most suitable crops remains a significant …
• Data for: A hybrid biophysical-machine learning framework for diurnal surface energy flux estimation using proximal sensing
  2026 · 智慧农业 · Thermal-based remote sensing of surface energy fluxes has traditionally relied on high spatial resolution satellite data with revisit frequencies on the order of weeks. In this study, we evaluate a biophysics-based analy…
• Data for: A hybrid biophysical-machine learning framework for diurnal surface energy flux estimation using proximal sensing
  2026 · 智慧农业 · Thermal-based remote sensing of surface energy fluxes has traditionally relied on high spatial resolution satellite data with revisit frequencies on the order of weeks. In this study, we evaluate a biophysics-based analy…
• AI-Based Cocoa Pod Disease Detection to Support Farmers in Upper Denkyira
  2026 · 智慧农业 · Cocoa farmers in Upper Denkyira East Municipality, Ghana, can lose trees and harvests when pod diseases are noticed too late, and manual field inspection is often the only diagnostic option available. This paper presents…
• AI-Based Cocoa Pod Disease Detection to Support Farmers in Upper Denkyira
  2026 · 智慧农业 · Cocoa farmers in Upper Denkyira East Municipality, Ghana, can lose trees and harvests when pod diseases are noticed too late, and manual field inspection is often the only diagnostic option available. This paper presents…
• A Review of Deep Learning Models for Automated Plant Leaf Disease Diagnosis and Prevention
  2026 · 智慧农业 · Crop diseases are a major challenge in modern agriculture, often leading to reduced crop productivity, economic losses, and threats to food security. Early and accurate identification of plant diseases is essential for i…
• A Review of Deep Learning Models for Automated Plant Leaf Disease Diagnosis and Prevention
  2026 · 智慧农业 · Crop diseases are a major challenge in modern agriculture, often leading to reduced crop productivity, economic losses, and threats to food security. Early and accurate identification of plant diseases is essential for i…
• [Supplementary Material] Detecting Hurricane-Induced Fallen Pecan Trees: A Novel UAV-Based Deep Learning Approach
  2026 · 智慧农业 · Hurricane events strongly affect the pecan crop by uprooting and lodging trees. Additionally, current fallen-tree monitoring relies on manual field surveys, which are invasive, time-consuming, and costly, constraining ti…
• [Supplementary Material] Detecting Hurricane-Induced Fallen Pecan Trees: A Novel UAV-Based Deep Learning Approach
  2026 · 智慧农业 · Hurricane events strongly affect the pecan crop by uprooting and lodging trees. Additionally, current fallen-tree monitoring relies on manual field surveys, which are invasive, time-consuming, and costly, constraining ti…
• GrapeAI: A Dual Deep-Learning Approach for Vineyard Canopy Coverage Estimation and Foliar Disease Diagnosis
  2026 · 智慧农业 · Grapevine farming continues to suffer significant yield losses from fungal foliar disease that is presently diagnosed mainly through manual, agronomist-led field inspection. This paper describes GrapeAI, a two-stage comp…
• GrapeAI: A Dual Deep-Learning Approach for Vineyard Canopy Coverage Estimation and Foliar Disease Diagnosis
  2026 · 智慧农业 · Grapevine farming continues to suffer significant yield losses from fungal foliar disease that is presently diagnosed mainly through manual, agronomist-led field inspection. This paper describes GrapeAI, a two-stage comp…
• AI-Based Cassava Leaf Disease Detection to Support Smallholder Farmers in Ghana
  2026 · 智慧农业 · Late detection of cassava leaf disease is a major cause of crop loss among smallholder farmers in Ghana, where manual field inspection is often the only diagnostic tool available. This paper presents a lightweight, mobil…
• AI-Based Cassava Leaf Disease Detection to Support Smallholder Farmers in Ghana
  2026 · 智慧农业 · Late detection of cassava leaf disease is a major cause of crop loss among smallholder farmers in Ghana, where manual field inspection is often the only diagnostic tool available. This paper presents a lightweight, mobil…
• Sunflower Seed Oil Yield Prediction using Machine Learning
  2026 · 智慧农业 · Sunflower (Helianthus annuus L.) is a highly cultivated oilseed crop, appreciated for its high-quality edible oil. Manual rating of seed yield potential is time consuming and subjective in nature. This study proposes a d…
• Sunflower Seed Oil Yield Prediction using Machine Learning
  2026 · 智慧农业 · Sunflower (Helianthus annuus L.) is a highly cultivated oilseed crop, appreciated for its high-quality edible oil. Manual rating of seed yield potential is time consuming and subjective in nature. This study proposes a d…
• Emerging Trends in Robotics and Automation for Sustainable Development in Nigeria
  2026 · 智慧农业 · Nigeria faces significant developmental challenges in agriculture, healthcare, waste management, and infrastructure, which hinder progress toward the Sustainable Development Goals (SDGs). Emerging trends in robotics and …
• Emerging Trends in Robotics and Automation for Sustainable Development in Nigeria
  2026 · 智慧农业 · Nigeria faces significant developmental challenges in agriculture, healthcare, waste management, and infrastructure, which hinder progress toward the Sustainable Development Goals (SDGs). Emerging trends in robotics and …
• Development of a Deep Learning-Based Smart Irrigation System Using IoT for Automated Crop Water Optimization
  2026 · 智慧农业 · Conventional irrigation systems account for approximately 70% of global freshwater withdrawals yet routinely waste 25%–40% of applied water through static time-based scheduling that fails to account for dynamic soil and …
• Development of a Deep Learning-Based Smart Irrigation System Using IoT for Automated Crop Water Optimization
  2026 · 智慧农业 · Conventional irrigation systems account for approximately 70% of global freshwater withdrawals yet routinely waste 25%–40% of applied water through static time-based scheduling that fails to account for dynamic soil and …
• From Mechanization to Autonomy: The Agrocycle as a Framework for Sustainable Robotic Farming
  2026 · 智慧农业 · This study examines the transition from conventional agricultural mechanization to autonomous robotic farming through the conceptual lens of the agrocycle, a holistic framework that integrates all agricultural operations…
• From Mechanization to Autonomy: The Agrocycle as a Framework for Sustainable Robotic Farming
  2026 · 智慧农业 · This study examines the transition from conventional agricultural mechanization to autonomous robotic farming through the conceptual lens of the agrocycle, a holistic framework that integrates all agricultural operations…
• Smart Crop and Nutrient Advisory System using Machine Learning
  2026 · 智慧农业 · Precision agriculture demands intelligent systems that integrate soil, environmental, and regional parameters for optimized crop planning. This research proposes a hybrid AI-based Smart Crop and Nutrient Advisory system …
• Smart Crop and Nutrient Advisory System using Machine Learning
  2026 · 智慧农业 · Precision agriculture demands intelligent systems that integrate soil, environmental, and regional parameters for optimized crop planning. This research proposes a hybrid AI-based Smart Crop and Nutrient Advisory system …
• Smart Farming Advisory System using Artificial Intelligence
  2026 · 智慧农业 · This paper presents an AI-driven Smart Farming Advisory System designed to assist farmers in making data-driven agricultural decisions. The system integrates machine learning algorithms, including Random Forest, Decision…
• Smart Farming Advisory System using Artificial Intelligence
  2026 · 智慧农业 · This paper presents an AI-driven Smart Farming Advisory System designed to assist farmers in making data-driven agricultural decisions. The system integrates machine learning algorithms, including Random Forest, Decision…
• AgriSense - Smart Farming Assistant Using IoT and Artificial Intelligence
  2026 · 智慧农业 · Modern agriculture faces unprecedented challenges due to climate change, water scarcity, and the increasing demand for food security. "AgriSense" is an intelligent farming assistant designed to bridge the gap between tra…
• AgriSense - Smart Farming Assistant Using IoT and Artificial Intelligence
  2026 · 智慧农业 · Modern agriculture faces unprecedented challenges due to climate change, water scarcity, and the increasing demand for food security. "AgriSense" is an intelligent farming assistant designed to bridge the gap between tra…
• Quantum Computing for Precision Agriculture in Challenging Environments: A Case Study from Northern Morocco
  2026 · 智慧农业 · Abstract. The legalization of medical cannabis in Morocco’s northern Rif region requires precision agriculture systems capable of supporting highly controlled, traceable and quality-driven cultivation. Medical cannabis i…
• Seeds of change: Mapping the landscape of precision farming technology adoption among agricultural entrepreneurs
  2026 · 智慧农业 · This study focuses on identifying the application of precision farming technology in agriculture entrepreneurship by applying a systematic literature review approach. The documents in the English language available in th…
• An Integrated AI Framework for Crop Recommendation
  2026 · AI 安全与对齐 · Despite recent advances in artificial intelligence for agriculture, reliable crop recommendation remains constrained by limited access to soil diagnostics, insufficient integration of environmental context, and the absen…
• Precision Agriculture Through a Real-Time Systems Perspective: A Narrative Review
  2026 · 数字孪生 · Precision agriculture employs state-of-the-art technologies to improve the economic viability, sustainability, and efficiency of agricultural practices. This paper offers a thorough review of precision agriculture, with …
• The low-altitude economy in Uzbekistan: Unlocking growth across water, agriculture and energy
  2026 · 新能源 · This policy brief examines the emerging low-altitude economy in Uzbekistan and its potential to support growth across water management, agriculture, and energy. Following Uzbekistan’s 2026 policy decision to liberalize c…
• The low-altitude economy in Uzbekistan: Unlocking growth across water, agriculture and energy
  2026 · 新能源 · This policy brief examines the emerging low-altitude economy in Uzbekistan and its potential to support growth across water management, agriculture, and energy. Following Uzbekistan’s 2026 policy decision to liberalize c…
• Implementing artificial intelligence and machine learning algorithms for optimized crop management: a systematic review on data-driven approach to enhancing resource use and agricultural sustainability
  2025 · 医疗人工智能 · Artificial intelligence (AI) and machine learning (ML) are transforming agriculture by enabling data-driven decisions that elevate productivity and sustainability. This review synthesises 95 studies published between 201…
• Digital Transition as a Driver for Sustainable Tailor-Made Farm Management: An Up-to-Date Overview on Precision Livestock Farming
  2025 · 数字孪生 · The increasing integration of sensing devices with smart technologies, deep learning algorithms, and robotics is profoundly transforming the agricultural sector in the context of Farming 4.0. These technological advancem…
• Data from: In situ foliar augmentation of multiple species for optical phenotyping and bioengineering using soft robotics
  2025 · 机器人零部件 · Precision agriculture aims to increase crop yield while reducing the use of harmful chemicals (e.g., pesticides, excess fertilizer) by employing minimal, tailored interventions. These strategies, however, are limited by …
• Hyperspectral imaging and its applications: A review
  2024 · 碳中和与 CCUS · Hyperspectral imaging has emerged as an effective powerful tool in plentiful military, environmental, and civil applications over the last three decades. The modern remote sensing approaches are adequate for covering hug…
• Multi-Agent System Architecture for Energy Optimization in Precision Agriculture in the Algerian Sahara
  2026 · 智慧农业 · Abstract This paper proposes a Multi-Agent System (MAS) architecture designed to enhance energy optimization in precision agriculture within the Algerian Sahara. The increasing demand for sustainable agricultural practic…
• AgroIntel: An Intelligent District-Aware Framework for Crop Recommendation and Fertilizer Optimization
  2026 · 智慧农业 · Abstract - Agriculture continues to be a principal means of earning a living for a significant portion of the global population. Crop suitability depends on multiple variables such as soil The rising demand for food prod…
• AgroIntel: An Intelligent District-Aware Framework for Crop Recommendation and Fertilizer Optimization
  2026 · 智慧农业 · Abstract - Agriculture continues to be a principal means of earning a living for a significant portion of the global population. Crop suitability depends on multiple variables such as soil The rising demand for food prod…
• Leakage-aware evaluation of satellite machine learning for district-scale crop yield forecasting: silage maize in Türkiye
  2026 · 智慧农业 · This record contains the data and code for a leakage-aware evaluation of satellite machine learning applied to district-scale silage-maize yield forecasting in the TR22 South Marmara region of Türkiye (Balıkesir and Çana…
• Leakage-aware evaluation of satellite machine learning for district-scale crop yield forecasting: silage maize in Türkiye
  2026 · 智慧农业 · This record contains the data and code for a leakage-aware evaluation of satellite machine learning applied to district-scale silage-maize yield forecasting in the TR22 South Marmara region of Türkiye (Balıkesir and Çana…
• Reproducibility compendium for an acquisition-aware audit framework in plant image benchmarks
  2026 · 智慧农业 · This version-specific reproducibility compendium accompanies the manuscript “Image-level splitting yielded consistently more favorable cross-validation estimates than did acquisition-group isolation in two public weed-im…
• TRANSFORMING AGRICULTURE WITH AI-POWERED SMART DRONES
  2026 · 智慧农业 · This paper introduces an AI-driven smart drone framework for precision agriculture, integrating computer vision, machine learning, and sensor technology to enable real-time crop monitoring and disease detection. By trans…
• TRANSFORMING AGRICULTURE WITH AI-POWERED SMART DRONES
  2026 · 智慧农业 · This paper introduces an AI-driven smart drone framework for precision agriculture, integrating computer vision, machine learning, and sensor technology to enable real-time crop monitoring and disease detection. By trans…
• Precision Farming and Health Monitoring in Agric-Workers using Wearable AI Devices
  2026 · 智慧农业 · This paper introduces a smart precision farming system with wearable health monitoring to optimise the productivity of agriculture and guarantee the safety of agri-workers. The study attempts to combat the weaknesses of …
• Precision Farming and Health Monitoring in Agric-Workers using Wearable AI Devices
  2026 · 智慧农业 · This paper introduces a smart precision farming system with wearable health monitoring to optimise the productivity of agriculture and guarantee the safety of agri-workers. The study attempts to combat the weaknesses of …
• Enhanced Explainable AI-Based Crop Yield Prediction and Advisory System
  2026 · 智慧农业 · This research presents an advanced Explainable AI-based crop yield prediction and advisory system developed for precision agriculture. The system utilizes the XGBoost algorithm to achieve high prediction accuracy and int…
• Enhanced Explainable AI-Based Crop Yield Prediction and Advisory System
  2026 · 智慧农业 · This research presents an advanced Explainable AI-based crop yield prediction and advisory system developed for precision agriculture. The system utilizes the XGBoost algorithm to achieve high prediction accuracy and int…
• Federated Learning for Predictive Agriculture: A Privacy- Preserving Approach to Crop Disease Detection
  2026 · 智慧农业 · The growing adoption of smart farming technologies has led to the generation of large volumes of agricultural data, particularly for crop health monitoring and disease prediction. However, concerns over data privacy and …
• Federated Learning for Predictive Agriculture: A Privacy- Preserving Approach to Crop Disease Detection
  2026 · 智慧农业 · The growing adoption of smart farming technologies has led to the generation of large volumes of agricultural data, particularly for crop health monitoring and disease prediction. However, concerns over data privacy and …
• Federated Learning for Predictive Agriculture: A Privacy- Preserving Approach to Crop Disease Detection
  2026 · 智慧农业 · The growing adoption of smart farming technologies has led to the generation of large volumes of agricultural data, particularly for crop health monitoring and disease prediction. However, concerns over data privacy and …
• Federated Learning for Predictive Agriculture: A Privacy- Preserving Approach to Crop Disease Detection
  2026 · 智慧农业 · The growing adoption of smart farming technologies has led to the generation of large volumes of agricultural data, particularly for crop health monitoring and disease prediction. However, concerns over data privacy and …
• Scalable fault-tolerant Satellite-IoT Integration using Cloud-Native Data Management Pipelines with Edge Machine Learning for Terrace Farming
  2026 · 边缘智能 · This thesis presents a scalable and fault-tolerant system that integrates satellite communication, Internet of Things sensors, and cloud-native data pipelines with edge machine learning to support data-driven agricultura…
• Scalable fault-tolerant Satellite-IoT Integration using Cloud-Native Data Management Pipelines with Edge Machine Learning for Terrace Farming
  2026 · 边缘智能 · This thesis presents a scalable and fault-tolerant system that integrates satellite communication, Internet of Things sensors, and cloud-native data pipelines with edge machine learning to support data-driven agricultura…

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