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• Classifying citrus categories based on growth status and harvest restrictions.
• Offering a data-driven approach to infer green-occluded citrus’ geometric center.
• Resizing anchor boxes by Bayesian Gaussian Mixtures Model and citrus ...

The demand for harvesting green citrus has increased due to the rapid growth of the green citrus industry. However, real-time detection of green citrus is challenging because of its high visual similarity to the background. To address this issue, ...

• A systematic review of ground robots and their individual components used in precision weed management.
• Analysis of navigation technology, imaging sensors, and different weed management strategies.
• Investigate the potential of ...

Robotics and variable rate technology (VRT) have shown great potential for site-specific weed management (SSWM), but these technologies face several challenges like accurate weed identification, high initial cost, integration with existing ...

• Introduced a new question-answering dataset for the Agriculture Extension domain.
• Fine-tuned an in-domain encoder-LM to better answer irrigation-related questions.
• Introduced a new human evaluation metric to assess LMs’ ...

Large language models (LLMs) have revolutionized various scientific fields in the past few years, thanks to their generative and extractive abilities. However, their applications in the Agricultural Extension (AE) domain remain sparse and limited ...

• Nozzle atomisation characteristics were measured with phase doppler interferometry.
• Sub-area statistics were used to characterise nozzle atomisation.
• Distribution of droplet size and velocity were determined.
• Droplet size and ...

Pesticides are commonly applied by using agricultural nozzles to generate droplets during delivery process. Initial spray atomization characteristics including droplet size and velocity are important factors that affect the pesticide utilization ...

• An advanced simulation model of the precision feeding system for pigs is presented.
• A state machine behavior model is combined with a resilience and resistance model.
• A disease outbreak model is integrated into the advanced ...

Perturbations always affect livestock during the breeding process, including harmful diseases. Researching the impact of disease outbreaks on pig herds is extremely important so that disease control measures can be applied early. However, ...

• Characteristics and applications of up-to-date information technologies in open-field crop production.
• Multi-criteria analysis of scientific and applied achievements in the implementation of information-oriented approach in the ...

Today, open-field crop agriculture is becoming an increasingly knowledge-intensive industry, driven by global trends in scientific and technological development in the digitalisation and intellectualisation of production processes. This, in turn, ...

• Soil respiration data are non-stationary and influenced by environmental factors.
• Clustering operations can reduce non-stationarity in data.
• Number of environmental factors has influence on the prediction of soil respiration.
• ...

Soil respiration time series data exhibit obvious non-stationarity, with diurnal fluctuations and susceptibility to various environmental factors. While traditional autoregressive models like ARIMA boast high predictive accuracy, they are limited ...

• Simplify integrated device with conveying transversely and picking longitudinally.
• Achieve precise position for seedlings with multi-sensor combination.
• Cooperatively and continuous operation of conveying and picking with FSM ...

Existing fully-automatic transplanters suffer from issues such as low accuracy in conveying and positioning seedling trays, inefficient picking and throwing due to complex movement paths, and seedling damage during the picking process. To address ...

• Agricultural Entity Extraction from raw Textual documents.
• A Hybrid Approach for Extraction without labeled Dataset.
• Combines Dictionaries, Regular expression-based Rules and Deep learning techniques.
• Fine-tuning of transformer-...

Entity extraction is one prerequisite for various Natural Language Processing(NLP) applications like relation extraction, question answering and knowledge graph construction. This paper proposes a complete framework for extracting agricultural ...

Microclimate mapping and monitoring are of fundamental importance to manage natural resources and optimize agricultural procedures. Precision agriculture is based on the management of spatial–temporal microclimatic variation in fields monitored ...

• High-resolution microclimate modeling by IoT systems and neural networks.
• AI exploits IoT data to optimize microclimate monitoring strategies.
• K-means machine learning clustering algorithm identifies robust temperature areas.
• ...

• A portable device for measuring leaf nitrogen content (LNC) has been developed.
• The LNC distribution was analyzed using chlorophyll fluorescence technology and K-means algorithm.
• Sensitive wavelengths were determined by the SNV-...

Accurate assessing leaf nitrogen content (LNC) is crucial for actual production and fertilizer management. In this research, a portable device was designed to rapidly and non-destructively evaluate LNC with precision. Using hydroponically grown ...

• This study validated the use of MEMS microphone to effectively records the sounds of insect pests in stored grains.
• Machine learning using multi-layer CNN classifies insect sound at 84.51% accuracy.
• Pre-trained CNN model can be ...

Studies reported that 12–40% of stored grains are lost due to insects, but the use of early detection devices such as acoustic sensors can guide subsequent storage management to reducing losses. Acoustic detection can directly identify the cause ...

• A method for constructing habitat suitability monitoring indicators based on exploratory factor analysis was proposed.
• A monthly habitat suitability monitoring model for African FAW using random forest algorithm was proposed.
• The ...

The fall armyworm (Spodoptera frugiperda, FAW) is a significant migratory agricultural pest under the global warning of the Food and Agriculture Organization of the United Nations (FAO). Habitat suitability monitoring and analysis for FAW can ...

• A tool was developed to reconstruct skid-trail networks based on global positioning receiver data.
• The tool estimates traffic level and identifies potential sampling points to measure soil impacts.
• Receiver accuracy and capture ...

A computational tool was developed to reconstruct skid trail networks based on global positioning receivers mounted on ground-based harvesting machines and estimate the number of machine passes. Additionally, this tool has the functionality to ...

• DEM-MBD simulations can model the soil tool interaction of the punching device.
• Hole shape parameters were predicted with 1.18–13.59% relative errors.
• Soil-taking punching minmizes soil disturbance around the transplanting hole.

Achieving high-speed punching is crucial for improving the efficiency of transplanting operations. However, existing devices cause significant soil disturbance at high velocities, leading to elongated holes and inconsistent depths. To address ...

• We incorporated spatial regularization into neural networks to improve the phenology extraction.
• The pepper salt effect of derived phenology maps has been significantly improved.
• Our framework addressed the challenge of spatial ...

This study presents a novel approach to extract phenology, the timing of plant life cycles such as flowering and crop harvests, from time series of satellite images. Unlike traditional per-pixel models that neglect spatial relationships and are ...

• Dragon fruit cultivation dynamics were divided into two stages by COVID-19.
• The Chinese dragon fruit industry has shown a slowly increasing–rapidly increasing trend.
• The Vietnamese dragon fruit industry showed a rapidly increasing–...

Dragon fruit, an open-field and photoperiodic cash fruit, is popular in the global consumer market, and its cultivation dynamics in China and Vietnam have changed dramatically in recent decades. However, these dynamics and drivers remain to be ...

• Agriculture-BERT is compared to other BERT models on agricultural term extraction.
• With a few exceptions, Agriculture-BERT performs better than the other BERT models.
• Embedding + encoder layers update scores best for extracting ...

This paper compares different transformer-based language models for automatic term extraction from agriculture-related texts. Agriculture is an important economic sector faced with severe environmental and societal challenges. The collection, ...

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• An end to end crop row detection pipeline without extra post-porocess is proposed.
• Each crop row is modeled as a collection of points on a line for detection.
• Crop row features are gatherd through pooling along columns and rows.

Vision-based autonomous navigation technology is vital important for unmanned driving of agricultural machinery and precise operation. Crop row detection, a fundamental task of vision-based navigation, has a significant impact on automatic ...

• Classification of multiple nutrient deficiencies through electrophysiological signal analysis.
• Signal processing is based on orthogonal wavelet decomposed feature engineering.
• A novel range based sorted sample clustering method ...

The phenomenon of physiological change in plants hyperpolarizes membrane potentials showing a significant change in electrophysiology. For plants to survive, develop, and reproduce, the proper ratio of nutrients is required. Malnourished plants ...