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ISSN: 2589-7217

Image processing algorithms for in-field cotton boll detection in natural lighting conditions

In developing countries, the cotton harvesting operation is currently being performed manually. Due to the monotonous nature of this task and the involvement of a considerable amount of labor, this...

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Proximal detecting invertebrate pests on crops using a deep residual convolutional neural network trained by virtual images

Detecting invertebrate pests on crops at early stages is essential for pest management. Traditionally, traps were used to sample pests and then human experts undertook classification and counting to...

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Yield performance estimation of corn hybrids using machine learning algorithms

Estimation of yield performance for crop products is a topic of interest in agriculture. In breeding programs, we cannot test all possible hybrids created by crossing two parents (inbred and tester)...

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Design and testing of the mechanical picking function of a high-speed seedling auto-transplanter

To improve the low transplanting efficiencies and simplify the complex structures of current automatic transplanters, a mechanical high-speed transplanter for picking plug seedlings that is suitable...

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An investigation into the potential of Gabor wavelet features for scene classification in wild blueberry fields

A Gabor wavelets based technique was investigated as a potential tool for scene classification (into one of bare patch, plant, or weed) for its ultimate utility in site-specific application of agrochemicals...

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Plant disease detection using hybrid model based on convolutional autoencoder and convolutional neural network

Plants are susceptive to various diseases in their growing phases. Early detection of diseases in plants is one of the most challenging problems in agriculture. If the diseases are not identified in...

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Non-destructive thermal imaging for object detection via advanced deep learning for robotic inspection and harvesting of chili peppers

Deep Learning has been utilized in computer vision for object detection for almost a decade. Real-time object detection for robotic inspection and harvesting has gained interest during this time as...

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Optimizing the seed-cell filling performance of an inclined plate seed metering device using integrated ANN-PSO approach

Uniform seed distribution within the row is the prime objective of precision planters for better crop growth and yield. Inclined plate planters are generally used for sowing bold seeds like maize, groundnut,...

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Development of a metering mechanism with serial robotic arm for handling paper pot seedlings in a vegetable transplanter

This paper describes the development of an automated metering mechanism for vegetable transplanter. It consisted of a 3- DOF serial robotic arm and an automatic feeding conveyor. The robotic arm was...

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Identification of various food residuals on denim based on hyperspectral imaging system and combination optimal strategy

As the science and technology develop, crime methods and scenes have become increasingly complex and diverse. Trace evidence analysis has become a more and more important criminal investigation technology...

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Identifying associations between epidemiological entities in news data for animal disease surveillance

Event-based surveillance systems are at the crossroads of human and animal (and plant and ecosystem) health, epidemiology, statistics, and informatics. Thus, their deployment faces many challenges specific...

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Modeling the energy gain reduction due to shadow in flat-plate solar collectors; Application of artificial intelligence

Energy lost due to shadow in the absorber plate of solar collectors can decrease the solar energy gain. In some studies, mathematical modeling was applied for calculating the energy gain reduction due...

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Reducing deep learning network structure through variable reduction methods in crop modeling

Crop models are widely used to predict plant growth, water input requirements, and yield. However, existing models are very complex and require hundreds of variables to perform accurately. Due to these...

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Combining machine learning, space-time cloud restoration and phenology for farm-level wheat yield prediction

Though studies showed the potential of high-resolution optical sensors for crop yield prediction, several factors have limited their wider application. The main factors are obstruction of cloud, identification...

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Development, evaluation, and optimization of an automated device for quality detection and separation of cowpea seeds

Automation and Artificial intelligence has been used to solve the world’'s most complex problems. The goal of this study is to develop, evaluate and optimize cowpea seeds quality detection and separating...

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Early stage detection of Downey and Powdery Mildew grape disease using atmospheric parameters through sensor nodes

Grape diseases are major factors causing severe diminution in its fruit development. Unfavorable climatic conditions are one of the principal dangers for grape disease development. Downy Mildew, Powdery...

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Freeform path fitting for the minimisation of the number of transitions between headland path and interior lanes within agricultural fields

•This paper addresses freeform path fitting within agricultural fields.•The objective is to minimise the number of transitions between headland path and interior lanes.•The method is evaluated on 10...

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Retrieval of flower videos based on a query with multiple species of flowers

Searching, recognizing and retrieving a video of interest from a large collection of a video data is an instantaneous requirement. This requirement has been recognized as an active area of research...

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Worldwide trends in the scientific production of literature on traceability in food safety: A bibliometric analysis

Food traceability is an important aspect of the food safety supply chain to ensure efficient tracking of produce to check contamination and other foodborne diseases. The health and nutrition response...

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Automation and digitization of agriculture using artificial intelligence and internet of things

The growing population and effect of climate change have put a huge responsibility on the agriculture sector to increase food-grain production and productivity. In most of the countries where the expansion...

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Will digital solution transform Sub-Sahara African agriculture?

Given its superior importance of digital agricultural solutions to overcome challenges in agricultural activities, many of the solutions are in face of challenges to scale in Sub-Saharan Africa (SSA)....

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An integrated foot transducer and data logging system for dynamic assessment of lower limb exerted forces during agricultural machinery operations

Agricultural machinery typically requires lower limb actuation forces for operations such as treadling, pedaling and tractor based. However, limited systems exist for assessment of such forces that...

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