Proximal Sensing Sensors for Monitoring Crop Growth

Lea Hallik (), Egidijus Šarauskis (), Marius Kazlauskas (), Indrė Bručienė (), Gintautas Mozgeris (), Dainius Steponavičius () and Toomas Tõrra ()
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Lea Hallik: University of Tartu, Tartu Observatory, Vegetation Remote Sensing Group
Egidijus Šarauskis: Vytautas Magnus University, Agriculture Academy
Marius Kazlauskas: Vytautas Magnus University, Agriculture Academy
Indrė Bručienė: Vytautas Magnus University, Agriculture Academy
Gintautas Mozgeris: Vytautas Magnus University, Agriculture Academy
Dainius Steponavičius: Vytautas Magnus University, Agriculture Academy
Toomas Tõrra: Estonian University of Life Sciences, Institute of Agricultural and Environmental Science

A chapter in Information and Communication Technologies for Agriculture—Theme I: Sensors, 2022, pp 43-97 from Springer

Abstract: Abstract This chapter gives a theoretical overview of various contact, proximal and remote monitoring solutions available for precision agriculture. Visual inspection of crop damage, which can be detected using these sensors, are introduced at first. Precision agriculture methodologies and sensors are reviewed with particular emphasis on variable rate fertilization. Different sensor platforms reviewed in the chapter ranged from drone images to tractor-mounted and hand-held devices, including the overview of autonomous platforms and robots in precision agriculture. After the theoretical overview a couple of use-cases are described to illustrate the most common practices of using proximal sensing sensors for precision agriculture. The use-case from Estonia demonstrates hand-held proximal sensor usage for variable rate fertilization. The use-cases from Lithuania illustrate field-scale monitoring and mapping of soil characteristics.

Keywords: Precision agriculture; Variable rate fertilization; N-sensor; N-tester; Soil sensing; Crop sensing; Robot platform; Chlorophyll; Electrical conductivity (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/978-3-030-84144-7_3

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