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Topic Review
De-Handing Technologies for Banana Postharvest Operations
Bananas are the largest fruit crop in terms of planting area and trade volume in the world. Banana planting is mainly concentrated in developing countries in tropical and subtropical regions such as China, Brazil, India, Ecuador and the Philippines where it provides one of the main sources of income for farmers. The harvest and postharvest operations in bananas primarily include field picking, ropeway transportation, de-handing, cleaning and disinfecting, and packaging and distributing to grocery outlets. With the development and advancement of mechanization, automation and intelligent technologies, the production efficiency of banana farmers has been greatly improved. Currently, various operations in banana postharvest operations have been mechanized to varying degrees; however, the de-handing operation still relies on manual labor.
  • 1.2K
  • 21 Nov 2022
Topic Review
Deep Learning Algorithms in Agriculture
The field of agriculture is one of the most important fields in which the application of deep learning still needs to be explored, as it has a direct impact on human well-being. In particular, there is a need to explore how deep learning models can be used as a tool for optimal planting, land use, yield improvement, production/disease/pest control, and other activities. The vast amount of data received from sensors in smart farms makes it possible to use deep learning as a model for decision-making in this field. In agriculture, no two environments are exactly alike, which makes testing, validating, and successfully implementing such technologies much more complex than in most other industries. 
  • 851
  • 18 Mar 2022
Topic Review
Deep Learning for Image Annotation in Agriculture
The implementation of intelligent technology in agriculture is seriously investigated as a way to increase agriculture production while reducing the amount of human labor. In agriculture, recent technology has seen image annotation utilizing deep learning techniques. Due to the rapid development of image data, image annotation has gained a lot of attention. The use of deep learning in image annotation can extract features from images and has been shown to analyze enormous amounts of data successfully. Deep learning is a type of machine learning method inspired by the structure of the human brain and based on artificial neural network concepts. Through training phases that can label a massive amount of data and connect them up with their corresponding characteristics, deep learning can conclude unlabeled data in image processing. For complicated and ambiguous situations, deep learning technology provides accurate predictions. This technology strives to improve productivity, quality and economy and minimize deficiency rates in the agriculture industry.
  • 935
  • 27 Jul 2022
Topic Review
Deep Learning in Controlled Environment Agriculture
Controlled environment agriculture (CEA) is an unconventional production system that is resource efficient, uses less space, and produces higher yields. Deep learning (DL) has been introduced in CEA for different applications including crop monitoring, detecting biotic and abiotic stresses, irrigation, microclimate prediction, energy efficient controls, and crop growth prediction.
  • 780
  • 07 Nov 2022
Topic Review
Deep Learning-based Fault Diagnosis of Electric Motors
Electric motors are used extensively in numerous industries, and their failure can result not only in machine damage but also a slew of other issues, such as financial loss, injuries, etc. As a result, there is a significant scope to use robust fault diagnosis technology. In recent years, interesting research results on fault diagnosis for electric motors have been documented. Deep learning in the fault detection of electric equipment has shown comparatively better results than traditional approaches because of its more powerful and sophisticated feature extraction capabilities.
  • 1.2K
  • 09 Dec 2021
Topic Review
Designing Post COVID-19 Buildings
The COVID-19 pandemic forced the accessibility, social gathering, lifestyle, and working environment to be changed to reduce the infection. The current state-of-the-art engineering control preventive measures presented include ultraviolet germicidal irradiation (UVGI), bipolar ionization, vertical gardening, and indoor plants. They have potential to improve the indoor air quality.
  • 462
  • 20 Jan 2022
Topic Review
Detection of Seed Vigor Based on Optical Methods
Optics is an ancient science, with the advancement of laser technology, optical engineering, and information technology, optical detection technology has gained a resurgence. The theoretical basis for the application of modern optical methods to the detection of seed vigor is that light irradiation on the surface of seeds will produce reflection, scattering, and transmission phenomena, accompanied by changes in parameters such as frequency, phase, and polarization state. In different vigor stages, the contents and content of nucleic acid, starch, enzyme, and protein inside the seed have a predictable change, and the reflected, scattered, and transmitted light information generated by the interaction with the light field can inform the internal composition and quality of the seed. Existing optical detection methods for seed vitality mainly include machine vision detection, near-infrared spectroscopy, hyperspectral detection, Raman spectroscopy, fluorescence spectroscopy, and seed exhalation gas spectroscopy.
  • 268
  • 04 May 2023
Topic Review
Development of Plant Protection Methods
Over thousands of years, the history of human survival and development has been accompanied by the struggle against plant pests, among which plant target recognition, plant protection methods and plant protection machinery constitute the three elements of plant protection. Plant protection practices have been enriched around the world.  Six types of plant protection methods have been developed, including the agricultural method, the physical method, the biological method, the chemical method, plant quarantine and integrated pest management (IPM).
  • 377
  • 27 Nov 2023
Topic Review
Development of Robotic Arm Harvesters
Promotion of research and development in advanced technology must be implemented in agriculture to increase production in the current challenging environment where the demand for manual farming is decreasing due to the unavailability of skilled labor, high cost, and shortage of labor. The demand for fruit harvester technologies, i.e., mechanized harvesting, manned and unmanned aerial systems, and robotics, has increased. However, several industries are working on the development of industrial-scale production of advanced harvesting technologies at low cost, no commercial robotic arm has been developed for selective harvesting of valuable fruits and vegetables, especially within controlled strictures, i.e., greenhouse and hydroponic contexts. 
  • 453
  • 28 Nov 2023
Topic Review
Development Trends of Improving Sustainability of Agricultural Crops
Given the challenges in reducing greenhouse gases (GHG), one of the sectors that have attracted the most attention in the Sustainable Development Agenda 2030 (SDA-2030) is the agricultural sector. Researchers have used different technologies to achieve crops’ financial and environmental sustainability, such as unmanned aerial vehicles (UAVs) to capture multi-spectral aerial images (MAIs) to assess fields’ plant vigour and detect phytosanitary events early using vegetation indices (VIs). 
  • 333
  • 01 Jul 2022
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