Review
Medicine, Research & Experimental
Md Nasir Ahmed, Rownak Jahan, Veeranoot Nissapatorn, Polrat Wilairatana, Mohammed Rahmatullah
Summary: Lectins, predominantly found in the Plantae kingdom, have shown potent anti-infectivity properties against RNA viruses like SARS-CoV-2. This review focuses on exploring the potential biotherapeutic and bioprophylactic role of lectins in combating COVID-19, particularly through their binding affinity to key glycan sites on the Spike glycoprotein of the virus.
BIOMEDICINE & PHARMACOTHERAPY
(2022)
Article
Agriculture, Dairy & Animal Science
Nicholas J. Rutter, Tiffani J. Howell, Arthur A. Stukas, Jack H. Pascoe, Pauleen C. Bennett
Summary: Conservation detection dogs (CDDs) trained to locate biological material for conservation are cost-effective, but training and care costs can limit access. Developing skilled volunteer dog-handler teams can help improve accessibility. In a study, 13 teams were trained to detect myrrh essential oil in various environments, showing varying search performance that improved with training.
Article
Veterinary Sciences
Nicola J. Rooney, Corinna C. A. Clark
Summary: The growing body of working dog literature includes many scales developed to measure dog behavior, but when comparing behavior to working dog ability, studies often rely on training organizations' ratings or pass/fail at selection. Working ability is complex and influenced by external factors, so multiple facets of performance should be considered to understand how selection, training, and operations impact it. A validated method for quantifying performance aspects is needed.
FRONTIERS IN VETERINARY SCIENCE
(2021)
Article
Entomology
Justin George, James P. Glover, Gadi V. P. Reddy, Chris Johnson, David R. Hall
Summary: This study investigates the effectiveness of using red sticky cards baited with a specific blend of sex pheromones to monitor overwintering populations of the tarnished plant bug. Field experiments demonstrate that the baited cards are highly effective in trapping the bugs and monitoring their movement into cotton crops.
Article
Remote Sensing
William Reckling, Helena Mitasova, Karl Wegmann, Gary Kauffman, Rebekah Reid
Summary: Monitoring rare plant species using unmanned aerial systems (UAS) with a Maxent predictive model can effectively target flight areas and improve data collection for rare plant monitoring. Visual analysis of UAS imagery verified known plant locations and discovered previously undocumented occurrences, suggesting potential for further research and improvements in data acquisition and computer vision techniques.
Review
Biodiversity Conservation
Carlos Cerrejon, Osvaldo Valeria, Philippe Marchand, Richard T. Caners, Nicole J. Fenton
Summary: Remote sensing (RS) technology has the potential to directly detect rare plants with distinctive traits using high-resolution data, as well as indirectly capture the biophysical conditions driving the distribution of rare plants, providing accurate predictions for them. RS also has the potential to discover new populations of rare plants, and can be combined with Species Distribution Models (SDMs) to provide a valuable approach for rare plant detection. The predictive performance of RS-based SDMs may be influenced by habitat size, habitat specificity, and phenological features of rare plants, as well as the rarity form of the target species according to classification criteria.
DIVERSITY AND DISTRIBUTIONS
(2021)
Review
Environmental Sciences
Louis Kouadio, Moussa El Jarroudi, Zineb Belabess, Salah-Eddine Laasli, Md Zohurul Kadir Roni, Ibn Dahou Idrissi Amine, Nourreddine Mokhtari, Fouad Mokrini, Juergen Junk, Rachid Lahlali
Summary: Remote sensing technology is crucial for precision agriculture as it helps in early issue detection, resource management, and environmentally friendly practices. Recent advances in remote sensing technology have made unmanned aerial vehicles (UAVs) valuable tools for obtaining detailed data on plant diseases. This study undertakes a systematic quantitative literature review to summarize existing literature and discern current research trends in UAV-based applications for plant disease detection and monitoring.
Article
Agriculture, Dairy & Animal Science
Mei Tsuchida, Nako Komura, Tatsuya Yoshihara, Yuta Kawasaki, Daichi Sakurai, Hiroshi Suzuki
Summary: This study successfully observed the process of follicular development, ovulation, and luteinization in Labrador Retrievers using a combination of ultrasonography and progesterone monitoring. Ovulation occurred within a period after LH surge, with ultrasound imaging providing accurate timing for follicular ovulation.
REPRODUCTION IN DOMESTIC ANIMALS
(2022)
Article
Agriculture, Dairy & Animal Science
Sonja Needs, Emma Bennett, Betsy Mao, Cindy E. Hauser
Summary: The study investigates the use of frozen and dried plant samples as an effective training and evaluation tool for dogs in weed detection. Results show that all eight dogs trained on frozen and dried plant samples were able to detect different target types with high precision (100%) and sensitivity (>85%).
APPLIED ANIMAL BEHAVIOUR SCIENCE
(2021)
Article
Chemistry, Analytical
Sergio Illana Rico, Diego Manuel Martinez Gila, Pablo Cano Marchal, Juan Gomez Ortega
Summary: Marking tree canopies is essential in studying high-resolution aerial images of fruit tree crops. This paper presents a standard method for detecting olive tree canopies, even in groves with thick plant cover on the ground, achieving promising accuracy.
Article
Plant Sciences
Prassan Choudhary, Sanjay Kumar Goswami, Hillol Chakdar, Shaloo Verma, Shobit Thapa, Alok Kumar Srivastava, Anil Kumar Saxena
Summary: A LAMP assay was developed to accurately and quickly detect the pathogen Sarocladium oryzae, the causal agent of sheath rot in rice, from live-infected tissues, seeds, weeds, and environmental samples. The assay demonstrated high sensitivity, detecting the pathogen in weed species and rice varieties. It can effectively be used for detection and screening of S. oryzae in live samples including seeds and field soil.
FRONTIERS IN PLANT SCIENCE
(2022)
Review
Chemistry, Analytical
Samantha MacDougall, Fatih Bayansal, Ali Ahmadi
Summary: Surveillance and management of the spread of plant pests and diseases are crucial for protecting crops and ecosystems. Traditional detection methods are expensive and require expertise, so there is a need for inexpensive and user-friendly options. Gas-sensing technologies that detect volatile organic compounds released by plants offer a potential solution, but there are challenges such as environmental factors and lack of research on field conditions.
Review
Agronomy
Aqleem Abbas, Zhenhao Zhang, Hongxia Zheng, Mohammad Murtaza Alami, Abdulmajeed F. Alrefaei, Qamar Abbas, Syed Atif Hasan Naqvi, Muhammad Junaid Rao, Walid F. A. Mosa, Qamar Abbas, Azhar Hussin, Muhammad Zeeshan Hassan, Lei Zhou
Summary: Plant diseases pose a major threat to global food production. Traditional detection methods often fail during the early stages of pathogenesis, while remote sensing techniques using drones are effective for rapid identification of plant diseases. Drones play a crucial role in monitoring, detecting, and diagnosing plant pathogens, providing high-resolution data at a low cost.
Review
Chemistry, Analytical
Ilaria Buja, Erika Sabella, Anna Grazia Monteduro, Maria Serena Chiriaco, Luigi De Bellis, Andrea Luvisi, Giuseppe Maruccio
Summary: Human activities contribute to the global spread of phytopathological adversities, causing food losses and reducing quantity and quality of yield. Fast and accurate diagnostics are crucial for combating emerging diseases and challenging pathogens.
Article
Engineering, Industrial
Win P. V. Nguyen, Puwadol Oak Dusadeerungsikul, Shimon Y. Nof
Summary: Plant stresses and diseases cause significant losses to agricultural productivity and quality, necessitating early detection. The ARS/PSPD is a robotic system developed for plant stress propagation detection, which formulates the problem with disruption propagation network modelling and designs collaborative scanning protocols.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)