Computers and Electronics in Agriculture

• This study provides first high-resolution LULC map focusing on Iran’s agriculture.
• OBIA-DT model, multi-temporal data and field datasets used for LULC mapping.
• Accurate delineation: irrigated vs. rainfed lands, distinct sub-...

This study presents the first high-resolution Land Use/Land Cover dataset for Iran in 2022 (ILULC-2022), with a particular emphasis on the agricultural areas. This research employed a two-level Decision Tree Object-Oriented Image Analysis (OBIA-...

In an era of rapid climate change and its adverse effects on food production, technological intervention to monitor pollinator conservation is of paramount importance for environmental monitoring and conservation for global food security. The ...

• Novel dataset of 9,664 bee images is collected, labelled and released open source.
• YOLOv5 m model achieves 85.6% [email protected], real-time inference of 8.1 ms per video frame.
• YOLOv5s model achieves 84.6% [email protected], real-time inference of ...

The harvesting of gerbera flowers, like many horticultural products, is a labor-intensive task for which automated solutions are highly desirable. While robotic harvesting of gerbera flowers has previously been attempted, it has not been tested ...

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• Cropping system analysis for gerbera cultivation in greenhouses with the goal to find requirements for end-effector development.
• End-effector development for automated harvesting of Gerberas with passive flexible element performing a ...

• A new method for extracting body temperature of caged chickens was proposed.
• An improved YOLOv8n-mvc model was developed for automatic detection of ROI.
• The images of visible and infrared thermal were matched to extract ...

Severe diseases in chickens present substantial risks to poultry husbandry industry. Notably, alterations in body temperature serve as critical clinical indicators of these diseases. Consequently, timely and accurate monitoring of body ...

• The HMR model can accurately predict the methane production of the individual cows studied.
• It models population-level shape parameters while allowing individual variation in scale.
• The partially pooled approach made more accurate ...

Monitoring methane production from individual cows is required for evaluating the success of greenhouse gas reduction strategies. However, converting non-continuous measurements of methane production into daily methane production rates (MPR) ...

• A mathematical model was constructed for the turning mode of lawn mowers in a low rootstock dense orchard.
• Modify traditional ACO to make it suitable for solving this problem.
• Based on SMC, GO-SMC was designed and its superiority ...

This research proposes an improved ant colony algorithm (BL-ACO) path planning algorithm and a tracking controller based on global optimal sliding mode variable structure control (GO-SMC) for the problem of path planning and tracking control of ...

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• Time-series lactation curve data were preprocessed for modeling milk yield.
• An individual model for predicting daily milk yield was developed for dairy cows.
• The developed model was applied to monitor the daily milk yield of ...

Daily milk yield serves as a physiological indicator in dairy cows and is a primary target for prediction and real-time monitoring in smart livestock farming. This study attempted to develop an individual model for predicting daily milk yield and ...

• Developed a high-throughput hyperspectral imaging system to analyze plant water status.
• LWC-Former was developed for predicting the LWC from spectral data of blueberry plants.
• LWC-Former model to effectively address ...

Drought-induced stress significantly impacted blueberry production due to the plants’ inefficient water regulation mechanisms to maintain yield and fruit quality under drought stress. Traditional methods of manual phenotyping for drought stress ...

• A feed rate monitoring system for sugarcane harvester was designed and developed.
• An iterative wavelet threshold denoising method was proposed to improve data quality.
• A method based on NAPSO-BPNN was proposed to achieve feed rate ...

Real-time monitoring of sugarcane harvester feed rate is great significance for guiding harvesting operation and improving efficiency. In this study, a feed rate monitoring system of sugarcane harvester is designed and developed. The system ...

• A novel approach for agricultural tele-operation through VR enabled Human robot collaboration.
• The agricultural tele-operation resulted in being feasible by experimenting on crop harvesting and leaf inspection.
• A robot-plant ...

With the increasing demand for efficient and sustainable agricultural practices, the automation of tasks such as crop inspection and harvesting has become a critical endeavor. However, the complex and dynamic nature of agricultural environments ...

In the past decade, Unmanned Aerial Systems (UAS) have made a significant impact on various sectors, including precision agriculture, by enabling remote monitoring of crop growth and development. Monitoring and managing crops effectively ...

• Remote sensing and machine learning enhance crop management and yield prediction.
• Machine learning analyzes crop growth patterns from historical UAS data.
• Digital Twin forecasts cotton crop features using real-time UAS data.
• ...

Potato yield is an important metric for farmers to further optimize their cultivation practices. Potato yield can be estimated on a harvester using an RGB-D camera that can estimate the three-dimensional (3D) volume of individual potato tubers. A ...

• CoRe++ is a high-throughput 3D shape completion network for RGB-D images.
• CoRe++ uses a convolutional encoder and DeepSDF decoder to complete the 3D shape.
• Testing on 1425 RGB-D images, CoRe++ achieved a completion accuracy of 2.8 ...

• A simulation model that replicates the real conditions of a wheat field was proposed.
• Four wheat head data sets (GWHD2021, SDAU2021, SDAU2022, SDAU2023) were collected as the test data.
• Nine deep learning models, including Faster-...

Numerous studies have reported a significant positive correlation between wheat yield and the quantity of wheat heads. However, collecting data on wheat heads in the field poses a challenge for several reasons, including the uncontrollable nature ...

• Proposed: a compound drought–heatwave damage severity index (CDH_DSI).
• UAV images: a valuable tool for ground truth data collection for CDH_DSI.
• CDH_DSI for tea plantations can be predicted using Sentinel-2 data.
• Dynamic and ...

In 2022, China experienced a historically rare compound drought–heatwave (CDH) event, which had more severe impacts on vegetation compared with individual extreme events. However, quantitatively mapping the damage severity of CDH on tea tree ...

• Proposed a P-P-R-P type continuous strawberry picking manipulator.
• Simulated the picking motion process of a continuous manipulator.
• Optimized key operating parameters for continuous manipulator.
• Validated the operational ...

Strawberry picking manipulator is one of the key factors affecting the effectiveness of robot picking operations, elevated strawberries cultivated off the ground with hanging fruits provide convenient conditions for automatic strawberry picking. ...