Special Issue "New Technologies and Spatiotemporal Approaches in Precision Agriculture"

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".

Deadline for manuscript submissions: 31 March 2021.

Special Issue Editor

Prof. Dr. Kalivas Dionissios
Website
Guest Editor
Department of Natural Resources Management and Agricultural Engineering, Agricultural University of Athens, 75 Iera Odos, 11855 Athens, Greece
Interests: land evaluation; site specific crop management; digital farming; GIS; remote sensing; spatial analysis; soil information systems

Special Issue Information

Dear Colleagues,

The ever-increasing nutritional demands have led to the use of large quantities of various inputs to satisfy the requirement of increased agricultural production. At the same time, the stabilization and improvement of the quality of crop and food production is a major challenge facing today’s agriculture.

The effects of preharvest factors on the ultimate quantity and quality of harvested products are often overlooked and underestimated, although a wide spectrum of preharvest factors, including environmental conditions and field management practices, directly or indirectly impact field crops’ yield characteristics. In particular, seasonal climatic conditions, soil fertility, variety selection, fertilization, irrigation, pest control, weed management, and harvest time play a crucial role in determining yield quantities and postharvest quality attributes (such as color, flavor, texture, and nutritional value of the harvested product) and, subsequently, consumers’ decision to purchase the product in the marketplace. Modern precision agriculture has provided substantial solutions that address the spatial and temporal dimensions of field management practices.

This Special Issue focuses on the role of geospatial digital technologies (GIS, RS-UAV, GPS) and sensors (image, climate, soil) in the capture, monitoring, and spatiotemporal analysis of data from preharvest factors toward better agricultural decision making in terms of space and time, with a major emphasis on the best agronomic practices for finally obtaining products with high and stable quality. For this Special Issue, we welcome all types of articles, including original research articles and reviews.

Prof. Dr. Kalivas Dionissios
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agriculture is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • precision agriculture
  • GIS and remote sensing – UAV in precision agriculture
  • geodatabases
  • farm management information systems – FMIS
  • spatiotemporal data analysis
  • geostatistics
  • site specific crop management – SSCM
  • farm management zones
  • product quality
  • agronomic practices

Published Papers (3 papers)

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Research

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Open AccessArticle
Research on Measurement Method of Leaf Length and Width Based on Point Cloud
Agriculture 2021, 11(1), 63; https://doi.org/10.3390/agriculture11010063 - 13 Jan 2021
Abstract
Leaf is an important organ for photosynthesis and transpiration associated with the plants’ growth. Through the study of leaf phenotype, it the physiological characteristics produced by the interaction of the morphological parameters with the environment can be understood. In order to realize the [...] Read more.
Leaf is an important organ for photosynthesis and transpiration associated with the plants’ growth. Through the study of leaf phenotype, it the physiological characteristics produced by the interaction of the morphological parameters with the environment can be understood. In order to realize the assessment of the spatial morphology of leaves, a method based on three-dimensional stereo vision was introduced to extract the shape information, including the length and width of the leaves. Firstly, a depth sensor was used to collect the point cloud of plant leaves. Then, the leaf coordinate system was adjusted by principal component analysis to extract the region of interest; and compared with a cross-sectional method, the geodesic distance method, we proposed a method based on the cutting plane to obtain the intersecting line of the three-dimensional leaf model. Eggplant leaves were used to compare the accuracy of these methods in the measurement of a single leaf. Full article
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Open AccessArticle
Predicting Phosphorus and Potato Yield Using Active and Passive Sensors
Agriculture 2020, 10(11), 564; https://doi.org/10.3390/agriculture10110564 - 20 Nov 2020
Abstract
Applications of remote sensing are important in improving potato production through the broader adoption of precision agriculture. This technology could be useful in decreasing the potential contamination of soil and water due to the over-fertilization of agriculture crops. The objective of this study [...] Read more.
Applications of remote sensing are important in improving potato production through the broader adoption of precision agriculture. This technology could be useful in decreasing the potential contamination of soil and water due to the over-fertilization of agriculture crops. The objective of this study was to assess the utility of active sensors (Crop Circle™, Holland Scientific, Inc., Lincoln, NE, USA and GreenSeeker™, Trimble Navigation Limited, Sunnyvale, CA, USA) and passive sensors (multispectral imaging with Unmanned Arial Vehicles (UAVs)) to predict total potato yield and phosphorus (P) uptake. The experimental design was a randomized complete block with four replications and six P treatments, ranging from 0 to 280 kg P ha−1, as triple superphosphate (46% P2O5). Vegetation indices (VIs) and plant pigment levels were calculated at various time points during the potato growth cycle, correlated with total potato yields and P uptake by the stepwise fitting of multiple linear regression models. Data generated by Crop Circle™ and GreenSeeker™ had a low predictive value of potato yields, especially early in the season. Crop Circle™ performed better than GreenSeeker™ in predicting plant P uptake. In contrast, the passive sensor data provided good estimates of total yields early in the season but had a poor correlation with P uptake. The combined use of active and passive sensors presents an opportunity for better P management in potatoes. Full article
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Review

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Open AccessReview
A Comparative Study on Application of Unmanned Aerial Vehicle Systems in Agriculture
Agriculture 2021, 11(1), 22; https://doi.org/10.3390/agriculture11010022 - 01 Jan 2021
Abstract
Presently in agriculture, there is much ample scope for drone and UAS (Unmanned Aircraft System) development. Because of their low cost and small size, these devices have the ability to help many developing countries with economic prosperity. The entire aggregation of financial investments [...] Read more.
Presently in agriculture, there is much ample scope for drone and UAS (Unmanned Aircraft System) development. Because of their low cost and small size, these devices have the ability to help many developing countries with economic prosperity. The entire aggregation of financial investments in the agricultural area has increased appreciably in recent years. Sooth to say, agriculture remains a massive part of the world’s commercial growth, and due to some complications, the agriculture fields withstand massive losses. Pets and destructive insects seem to be the primary reasons for certain degenerative diseases. It minimizes the potential productivity of the crops. For increasing the quality of the plants, fertilizers and pesticides are appropriately applied. Using UAVs (Unmanned Aerial Vehicles) for spraying pesticides and fertilizing materials is an exuberant contraption. It adequately reduces the rate of health dilemma and the number of workers, which is quite an impressive landmark. Willing producers are also adopting UAVs in agriculture to soil and field analysis, seed sowing, lessen the time and costs correlated with crop scouting, and field mapping. It is rapid, and it can sensibly diminish a farmer’s workload, which is significantly a part of the agricultural revolution. This article aims to proportionally represent the concept of agricultural purposed UAV clear to the neophytes. First, this paper outlines the harmonic framework of the agricultural UAV, and then it abundantly illustrates the methods and materials. Finally, the article portrays the outcome. Full article
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