Cítrics

Combining Artificial Intelligence and Remote Sensing to Enhance the Estimation of Peanut Pod Maturity

03/11/2025 - The mechanized harvesting of peanut crops results in both visible and invisible losses. Therefore, monitoring and accurately determining pod maturation are essential to minimizing such losses. The...

Automatic Fruit Grading System with High Adaptability Using Machine Learning Method

07/11/2025 - Fruit quality plays an important role in the agricultural economy. However, low efficiency and inaccurate detection in manual fruit grading has led to reduced fruit quality assurance. To solve these...

A Deployment-Oriented Benchmarking of You Look Only Once (YOLO) Models for Orange Detection and Segmentation in Agricultural Robotics

20/10/2025 - The deployment of autonomous robots is critical for advancing sustainable agriculture, but their effectiveness hinges on visual perception systems that can reliably operate in natural, real-world...

Risk Evaluation and Molecular Characterisation of AtNPR1 Transgenic Citrus Lines Tolerant to Citrus Greening Disease

- ABSTRACTCitrus greening disease, or Huanglongbing (HLB), has caused devastating losses to citrus production in Florida, with yields declining by over 90% since 2005. Despite extensive efforts, no...

High-resolution frequency-domain electromagnetic mapping for the hydrological modeling of an orange orchard

- While aboveground precision agriculture technologies provide spatial and temporal datasets that are ever increasing in terms of density and precision, belowground information lags behind and has...

Non-Destructive Classification of Sweetness and Firmness in Oranges Using ANFIS and a Novel CCI&ndash;GLCM Image Descriptor

26/09/2025 - This study introduces a non-destructive computer vision method for estimating postharvest quality parameters of oranges, including maturity index, soluble solid content (expressed in degrees Brix),...

Multidimensional Perspective of Sustainable Agroecosystems and the Impact on Crop Production: A Review

09/03/2025 - Agroecosystems form a natural ecosystem component, allowing the proper classification of a regional biome at a global scale. It is important to view agroecosystems from a micro-environmental...

D-YOLO: A Lightweight Model for Strawberry Health Detection

07/03/2025 - In complex agricultural settings, accurately and rapidly identifying the growth and health conditions of strawberries remains a formidable challenge. Therefore, this study aims to develop a deep...

GeaGrow: a mobile tool for soil nutrient prediction and fertilizer optimization using artificial neural networks

- IntroductionMost farmers in Nigeria lack knowledge of their farmland’s nutrient content, often relying on intuition for crop cultivation. Even when aware, they struggle to interpret soil...

Advancing Sustainable Agriculture Through Digital Technology: The Role of the &lsquo;Agricultural Guide' App in Improving Olive Farming Practices in Saudi Arabia

07/03/2025 - The Agricultural Guide application is a crucial component of the digital extension system in Saudi Arabia, providing modern and evidence-based information on sustainable agricultural practices to the...

NDMI-Derived Field-Scale Soil Moisture Prediction Using ERA5 and LSTM for Precision Agriculture

09/03/2025 - Accurate soil moisture prediction is fundamental to precision agriculture, facilitating optimal irrigation scheduling, efficient water resource allocation, and enhanced crop productivity. This study...

An Efficient Method for Counting Large-Scale Plantings of Transplanted Crops in UAV Remote Sensing Images

26/02/2025 - Counting the number of transplanted crops is a crucial link in agricultural production, serving as a key method to promptly obtain information on crop growth conditions and ensure the yield and...

DHS-YOLO: Enhanced Detection of Slender Wheat Seedlings Under Dynamic Illumination Conditions

26/02/2025 - The precise identification of wheat seedlings in unmanned aerial vehicle (UAV) imagery is fundamental for implementing precision agricultural practices such as targeted pesticide application and...

Evaluating Remote Sensing Resolutions and Machine Learning Methods for Biomass Yield Prediction in Northern Great Plains Pastures

26/02/2025 - Predicting forage biomass yield is critical in managing livestock since it impacts livestock stocking rates, hay procurement, and livestock marketing strategies. Only a few biomass yield prediction...

Combining Machine Learning Algorithms with Earth Observations for Crop Monitoring and Management

25/02/2025 - Combining machine learning algorithms with Earth observations has great potential in the context of crop monitoring and management, which is essential in the face of global challenges related to food...

Effects of Sensor Speed and Height on Proximal Canopy Reflectance Data Variation for Rice Vegetation Monitoring

28/02/2025 - Sensing distance and speed have crucial effects on the data of active and passive sensors, providing valuable information relevant to crop growth monitoring and environmental conditions. The...

Towards Climate-Smart Agriculture: Strategies for Sustainable Agricultural Production, Food Security, and Greenhouse Gas Reduction

25/02/2025 - Without transformative adaptation strategies, the impact of climate change is projected to reduce global crop yields and increase food insecurity, while rising greenhouse gas (GHG) emissions further...

Trend analysis of the application of multispectral technology in plant yield prediction: a bibliometric visualization analysis (2003–2024)

- Multispectral imaging technology uses sensors capable of detecting spectral information across various wavelength ranges to acquire multi-channel target data. This enables researchers to collect...

Nutrient Balance of Citrus Across the Mandarin Belts of India

27/02/2025 - India is a major producer of mandarin oranges. However, the average fruit yield remains below potential due in part to multiple nutrient deficiencies. Our objective was to elaborate compositional...

AI Meets Citrus Waste: Coffee Bean Processing with Orange Peel Flour

02/03/2025 - Orange peel represents 50% of the fruit, and more than 124 million tons are consumed worldwide, which represents a worrying contamination problem. This study sought to add this waste as flour in...

RDRM-YOLO: A High-Accuracy and Lightweight Rice Disease Detection Model for Complex Field Environments Based on Improved YOLOv5

23/02/2025 - Rice leaf diseases critically threaten global rice production by reducing crop yield and quality. Efficient disease detection in complex field environments remains a persistent challenge for...

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