Recent Articles

Open access

ISSN: 2589-7217

Effect and economic benefit of precision seeding and laser land leveling for winter wheat in the middle of China

Rapid socio-economic changes in China, such as land conversion and urbanization, are creating new scopes for the application of precision agriculture (PA).An experiment to assess the economic benefits...

Share article

Transfer Learning for Multi-Crop Leaf Disease Image Classification using Convolutional Neural Network VGG

In recent times, the use of artificial intelligence (AI) in agriculture has become the most important. The technology adoption in agriculture if creatively approached. Controlling on the diseased leaves...

Share article

Review of agricultural IoT technology

Agricultural Internet of Things (IoT) has brought new changes to agricultural production. It not only increases agricultural output but can also effectively improve the quality of agricultural products,...

Share article

Deep convolutional neural network models for weed detection in polyhouse grown bell peppers

Conventional weed management approaches are inefficient and non-suitable for integration with smart agricultural machinery. Automatic identification and classification of weeds can play a vital role...

Share article

Land suitability analysis for maize production using geospatial technologies in the Didessa watershed, Ethiopia

Physical land suitability assessment is a prerequisite for enhancing yield production and enables the agricultural communities to use the right place for the right crops. Maize is one of stable one...

Share article

Few-shot learning for biotic stress classification of coffee leaves

In the last few years, deep neural networks have achieved promising results in several fields. However, one of the main limitations of these methods is the need for large-scale datasets to properly...

Share article

Nutrient optimization for plant growth in Aquaponic irrigation using Machine Learning for small training datasets

With the recent trends in urban agriculture and climate change, there is an emerging need for alternative plant culture techniques where dependence on soil can be eliminated. Hydroponic and aquaponic...

Share article

Optimization techniques in deep convolutional neuronal networks applied to olive diseases classification

•The olive is exposed to the attacks of different micro-organisms and other factors.•The olive disease dataset contains a variety images of different growth stages.•The extracted oil's quality and quantity...

Share article

Analysis of land surface temperature using Geospatial technologies in Gida Kiremu, Limu, and Amuru District, Western Ethiopia

Degradation of vegetation cover and expansion of barren land are remained the leading environmental problem at global level. Land surface temperature (LST), Normalized Difference Vegetation Index (NDVI),...

Share article

Non-destructive silkworm pupa gender classification with X-ray images using ensemble learning

Sericulture is the process of cultivating silkworms for the production of silk. High-quality production of silk without mixing with low quality is a great challenge faced in the silk production centers....

Share article

Examining the interplay between artificial intelligence and the agri-food industry

Artificial intelligence (AI) has advanced at an astounding rate and transformed numerous economic sectors. Nevertheless, a comprehensive understanding of how AI can improve the agri-food industry is...

Share article

Developing a multi-label tinyML machine learning model for an active and optimized greenhouse microclimate control from multivariate sensed data

In the uncertainties within which the worldwide food security lies nowadays, the agricultural industry is raising a crucial need for being equipped with the state-of-the-art technologies for a more...

Share article

A comparative analysis of paddy crop biotic stress classification using pre-trained deep neural networks

The agriculture sector is no exception to the widespread usage of deep learning tools and techniques. In this paper, an automated detection method on the basis of pre-trained Convolutional Neural Network...

Share article

A systematic review of machine learning techniques for cattle identification: Datasets, methods and future directions

Increased biosecurity and food safety requirements may increase demand for efficient traceability and identification systems of livestock in the supply chain. The advanced technologies of machine learning...

Share article

Durum wheat yield forecasting using machine learning

A reliable and accurate forecasting model for crop yields is crucial for effective decision-making in every agricultural sector. Machine learning approaches allow for building such predictive models,...

Share article

Deep learning based computer vision approaches for smart agricultural applications

The agriculture industry is undergoing a rapid digital transformation and is growing powerful by the pillars of cutting-edge approaches like artificial intelligence and allied technologies. At the core...

Share article

Evaluation of model generalization for growing plants using conditional learning

This paper aims to solve the lack of generalization of existing semantic segmentation models in the crop and weed segmentation domain. We compare two training mechanisms, classical and adversarial,...

Share article

Deep convolutional neural network for damaged vegetation segmentation from RGB images based on virtual NIR-channel estimation

•NIR channel information of damaged vegetation can be estimated from RGB channel.•The use of an adversarial loss increases the performance on NIR channel estimation.•IDCS and IDCR vegetation indices...

Share article

Automatic marker-free registration of single tree point-cloud data based on rotating projection

Point-cloud data acquired using a terrestrial laser scanner play an important role in digital forestry research. Multiple scans are generally used to overcome occlusion effects and obtain complete tree...

Share article

Predictive modeling for wine authenticity using a machine learning approach

The purpose of this paper is to classify wines from 4 different countries in South America. Each class of wines is formed by samples considered by experts as representatives of the following commercial...

Share article

Mango internal defect detection based on optimal wavelength selection method using NIR spectroscopy

A non-destructive technique should be developed for performance analysis of mango fruits because the spongy tissue or internal defects could lower the quality of mango fruit and incur a lack of productivity....

Share article

Effects of intelligent feeding method on the growth, immunity and stress of juvenile Micropterus salmoides

The feeding method is of great significance for aquaculture production and cost. In recent years, research on intelligent feeding, a method based on fish appetite, has been trending. Few studies, however,...

Share article

Prediction and data mining of burned areas of forest fires: Optimized data matching and mining algorithm provides valuable insight

An optimized data-matching machine learning algorithm is developed to provide high-prediction accuracy of total burned areas for specific wildfire incidents. It is applied to a well-studied forest-fire...

Share article

A novel elemental composition based prediction model for biochar aromaticity derived from machine learning

The measurement of aromaticity in biochars is generally conducted using solid state 13C nuclear magnetic resonance spectroscopy, which is expensive, time-consuming, and only accessible in a small number...

Share article

Development of embedded automatic transplanting system in seedling transplanters for precision agriculture

Hand transplanting of vegetable seedlings is always been a time consuming and labourious activity which often leads to muscular fatigue. Use of hitech instrumentation increased to achieve precision...

Share article

Stay Informed

Register your interest and receive email alerts tailored to your needs. Sign up below.