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Agriculture, Volume 10, Issue 5

May 2020 - 52 articles

Cover Story: Increased prominence is being given to the use of precision agriculture tools in order to improve the management of insect pests in agricultural systems due to the urgent need to change practices in favor of environmental resilience. Concerns about the impact of pesticides on natural resources and human health along with rapid resistance development in many important pests worldwide are pushing scientists, companies, and farmers to invest in technology as a way to overcome those challenges. The aim of the present paper is to review the techniques and scientific state-of-the-art of the use of sensors for automatic detection and monitoring of insect pests in an integrated pest management (IPM) context, highlighting topics such as machine learning and the Internet of Things, as well as discussing the future trends of automatic traps and decision support systems.View this paper.
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Articles (52)

  • Article
  • Open Access
9 Citations
3,459 Views
15 Pages

Advanced Data Analysis as a Tool for Net Blotch Density Estimation in Spring Barley

  • Outi Ruusunen,
  • Marja Jalli,
  • Lauri Jauhiainen,
  • Mika Ruusunen and
  • Kauko Leiviskä

A novel data analysis method for the evaluation of plant disease risk that utilizes weather information is presented in this paper. This research considers two different datasets: open weather data from the Finnish Meteorological Institute and long-t...

  • Article
  • Open Access
12 Citations
6,996 Views
26 Pages

The supervision and feeding of grazing livestock are always difficult missions. Since animals act based on habits, the real-time monitoring data logger has become an indispensable instrument to assist farmers in recognizing the status of livestock. P...

  • Article
  • Open Access
79 Citations
8,175 Views
15 Pages

In the area of plant protection and precision farming, timely detection and classification of plant diseases and crop pests play crucial roles in the management and decision-making. Recently, there have been many artificial neural network (ANN) metho...

  • Article
  • Open Access
20 Citations
4,740 Views
12 Pages

Dietary Betaine Reduces the Negative Effects of Cyclic Heat Exposure on Growth Performance, Blood Gas Status and Meat Quality in Broiler Chickens

  • Majid Shakeri,
  • Jeremy J. Cottrell,
  • Stuart Wilkinson,
  • Hieu H. Le,
  • Hafiz A. R. Suleria,
  • Robyn D. Warner and
  • Frank R. Dunshea

Heat stress (HS) impairs growth performance and has a severe impact on lipid and protein metabolism, leading to serious adverse effects on meat quality. Forty-eight day-old-male Ross-308 chicks were assigned to two temperature conditions, thermoneutr...

  • Article
  • Open Access
7 Citations
5,045 Views
16 Pages

Prediction of Soil Oxalate Phosphorus using Visible and Near-Infrared Spectroscopy in Natural and Cultivated System Soils of Madagascar

  • Hobimiarantsoa Rakotonindrina,
  • Kensuke Kawamura,
  • Yasuhiro Tsujimoto,
  • Tomohiro Nishigaki,
  • Herintsitohaina Razakamanarivo,
  • Bruce Haja Andrianary and
  • Andry Andriamananjara

Phosphorus is among the main limiting nutrients for plant growth and productivity in both agricultural and natural ecosystems in the tropics, which are characterized by weathered soil. Soil bioavailable P measurement is necessary to predict the poten...

  • Article
  • Open Access
3 Citations
3,750 Views
12 Pages

Soil Quality of Ananas comosus Cultivation Land in the Papaloapan Basin Region of Mexico after Wastes Addition as Fertilizer Supplement

  • Ricardo Acevedo-Gómez,
  • Miguel Angel Sánchez-Hernández,
  • Fernando Carlos Gómez-Merino,
  • Patricia Ponce-Peña,
  • María Azucena González-Lozano,
  • Leticia Navarro-Moreno and
  • Martha Poisot

Three pineapple (Ananas comosus L.) cultivation soils of the south-east Mexico were analyzed in relation to the amendment effect of two agro-industrial wastes: sugar mill filter cake (SC) and paper mill sludge (CR) jointly added by weight. The plot P...

  • Perspective
  • Open Access
23 Citations
6,480 Views
13 Pages

Soybean (Glycine max (L.) Merr) is a source of high-quality edible protein and oil for humans, but also a high-quality feed in livestock feeding. In Poland, imported genetically modified soybean meal covers 65%, and leguminous seeds that are cultivat...

  • Article
  • Open Access
9 Citations
4,705 Views
17 Pages

γ-aminobutyric acid (GABA) is the chief inhibitory neurotransmitter in the central nervous system and of substantial physiological significance to mammals. The GABA content of plants is generally low; however, it increases significantly when pl...

  • Article
  • Open Access
12 Citations
3,858 Views
13 Pages

Effect of Vintage and Viticultural Practices on the Phenolic Content of Hybrid Winegrapes in Very Cool Climate

  • Mariana Maante-Kuljus,
  • Reelika Rätsep,
  • Ulvi Moor,
  • Leila Mainla,
  • Priit Põldma,
  • Angela Koort and
  • Kadri Karp

Vine growing and wine production is gaining in popularity around the Baltic Sea Region. The first aim of the experiment was to determine the variability of the total phenolic and anthocyanin content (from 2010 to 2018) and of individual anthocyanin c...

  • Article
  • Open Access
51 Citations
6,892 Views
12 Pages

Moth Detection from Pheromone Trap Images Using Deep Learning Object Detectors

  • Suk-Ju Hong,
  • Sang-Yeon Kim,
  • Eungchan Kim,
  • Chang-Hyup Lee,
  • Jung-Sup Lee,
  • Dong-Soo Lee,
  • Jiwoong Bang and
  • Ghiseok Kim

Diverse pheromones and pheromone-based traps, as well as images acquired from insects captured by pheromone-based traps, have been studied and developed to monitor the presence and abundance of pests and to protect plants. The purpose of this study i...

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Agriculture - ISSN 2077-0472