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Information Processing in Agriculture
Scopus
ISSN 2214-3173 · Elsevier · 487 artikel di indeks
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Artikel Jurnal
Precision pest management in agriculture using Inception V3 and EfficientNet B4: A deep learning approach for crop protection
Ensuring agricultural productivity and sustainability requires timely and accurate pest identification, as pest infestations significantly impact crop yield and food security. With increasing reliance on smart farming practices, artificial intelligence presents an effective solution for early pest…
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Artikel Jurnal
Commercial operation models of agricultural energy internet based on market bidding
This paper conducts an in-depth study on the Agricultural Energy Internet (AEI), covering multiple key areas including business models, market mechanisms, trading markets, bidding models, and trading platform systems. Regarding business models, it analyzes the architecture centered on the deep…
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Artikel Jurnal
Performance analysis and parameter optimization of peanut digging shovel operation based on discrete element analysis
Digging is the primary process of peanut harvesting. The setting of the operating parameters of peanut digging shovel as a digging tool will greatly influence the resistance and blade wear during peanut digging operation. In this paper, the trapezoidal symmetrical digging shovel is taken as the…
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Artikel Jurnal
Fusing UAV multiple data and phenology to predict crop biomass
Robust quantification of crop status in real-time is essential for agile decision-making. While use of unmanned aerial vehicle (UAV) data appears promising in this vein, the contribution and transferability of various features (e.g. vegetation indices, plant height and texture features) in crop…
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Artikel Jurnal
Forecasting the mechanical compaction influence on soybean yield using XGBoost-ANN
Soil compaction in agricultural fields caused by machinery operations is gradually becoming an important constraint to sustainable agricultural development. Predicting changes in crop yields under compacted environments and warning can help improve crop yields. However, relevant studies are…
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Artikel Jurnal
A modular Agritech framework for sustainable horticulture systems: Development and validation in the kiwifruit industry
Horticulture is facing growing challenges, including labour shortages, environmental sustainability, and the need for increased productivity. To address these issues, this paper proposes Modular Agritech Systems for Horticulture (MAS-H), a modular framework designed to promote the reuse of…
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Artikel Jurnal
MH-YOLO: Multiple heterogeneous YOLO for apple orchard pest detection
In apple orchard environments, challenges such as low accuracy and slow speed in pest identification persist, and single improvement strategies fail to balance these requirements effectively. Therefore, this study proposes an apple orchard pest identification method that integrates multiple…
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Artikel Jurnal
An insight into productivity, profitability, and sustainable energy use in maize under precision nitrogen management using a smartphone app
During previous implementation of dark green colour index (DGCI), conventional tools were found inadequate for providing accurate nitrogen (N) recommendations in maize. In contrast, camera-based DGCI methods demonstrated greater effectiveness in predicting the in-season N requirements. To address…
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Artikel Jurnal
Large-scale wheat lodging monitoring by band transformation of UAV and sentinel-2A multispectral imagery
Lodging negatively affects wheat yield and quality. Large-scale remote sensing monitoring of wheat lodging is significant for rapidly assessing the impacts of agricultural disasters and formulating precise management strategies. Large-scale remote sensing of wheat lodging requires sufficient…
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Artikel Jurnal
Decoding drone adoption in agriculture: a comparative analysis of behavioral models
The adoption of drone technology in agriculture holds transformative potential, offering solutions to improve efficiency, productivity, and sustainability. Understanding the factors that drive or hinder this adoption is critical for leveraging these benefits. This study evaluates the adoption of…
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Analysis of seedling-picking trajectory error in gear train seedling pick-up mechanisms considering center-distance errors
To improve the success rate of seedling-picking, this study investigates the influence of center-distance errors (CDE) on the seedling-picking trajectory of a planetary gear–based seedling pick-up mechanism (SPUM). The mathematical model of kinematic parameters of needle-tip was developed to…
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Artikel Jurnal
Harnessing technology: A systematic review of artificial intelligence and expert systems in date palm agriculture
Date palms are an essential agricultural asset in arid and semi-arid areas, considerably enhancing local economies and food security. Recent research has examined several facets of date palm production, including genetic diversity, water management, and disease detection, underscoring the need to…
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Artikel Jurnal
Continuous route planning method based on density grading for thinning of walnut male flowers
Walnut male catkins commonly appear in clusters and are irregularly distributed across the tree, which makes it difficult to generate a continuous path during mechanical thinning. To reduce energy consumption and simplify route planning, a method termed continuous route planning of extensive and…
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Artikel Jurnal
Dynamic energy consumption modeling of V-belt in combine harvesters
V-belts in combine harvesters are prone to burnout failures under high-load continuous operations, compromising transmission reliability. However, the underlying thermomechanical coupling mechanisms remain poorly understood. To address this limitation, this study presents a dynamic energy…
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Artikel Jurnal
Grassland ecosystem assessments: Integrating UAV-derived features for aboveground biomass estimation
Monitoring grasslands presents significant challenges due to temporal and spatial dynamics in their vegetation. This is particularly pronounced in wet grasslands, where moisture dynamics also impact vegetation patterns. Recent advancements in data acquisition and analysis via Unmanned Aerial…
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Artikel Jurnal
Information processing and enabling technologies for agricultural energy Internet applications
This study provides a systematic exposition of the Agricultural Energy Internet (AEI), offering an in-depth analysis within the context of smart agriculture. This work elucidates the evolutionary pathway and emerging trends of AEI, along with the technologies underpinning its implementation…
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Artikel Jurnal
Machine learning for asymptomatic Ratoon stunting disease detection with freely available satellite based multispectral imaging
Disease detection in sugarcane, particularly the identification of asymptomatic infectious diseases such as Ratoon Stunting Disease (RSD), is critical for effective crop management. This study employed various machine learning techniques to detect the presence of RSD in different sugarcane…
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Artikel Jurnal
A hyperspectral and RGB crop pests/diseases image fusion method based on SADAE-GAN with combined perceptual gradient loss
Accurate monitoring of crop pests and diseases is essential due to their diversity, widespread impact, and increasing severity. However, RGB images lack spectral richness, and hyperspectral images suffer from resolution loss caused by long exposure times. Existing fusion methods often lose…