Soil Sensors and Plant Wearables for Smart and Precision Agriculture

The aim of this study was to compare three different soil-sampling methods used in Precision Agriculture and their environmental impact in the agricultural production environment. The sampling methods used were: management zones by elevation (MZA), grid sampling (GS), and sampling oriented by apparent soil electrical conductivity (OS). It was tested in three different fields. When the recommendations were compared, a significant difference among the suggested dosages was observed, indicating the need to improve the soil-sampling techniques, since there were doubts about input deficits or overdoses, regardless of the technology studied. The GS method was the most environmentally viable alternative for P compared to other methods and the OS presented as the better option for K and N. However, the use of soil sensors has been shown to be a viable technology that needs further improvement in order to improve productivity and, hence, economic and environmental gains.

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Environmental Benefits of Precision Agriculture Adoption

ECONOMIA AGRO-ALIMENTARE ◽

10.3280/ecag2019-003004 ◽

2020 ◽

pp. 637-656 ◽

Cited By ~ 2

Author(s):

Marco Medici ◽

Søren Marcus Pedersen ◽

Giacomo Carli ◽

Maria Rita Tagliaventi

Keyword(s):

Environmental Impacts ◽

Precision Agriculture ◽

New Technologies ◽

Environmental Benefits ◽

Herbicide Application ◽

Pesticide Application ◽

Policy Makers ◽

Application Rates ◽

Biodiversity Policy ◽

Lime Application

The purpose of this study is to analyse the environmental benefits of precision agriculture technology adoption obtained from the mitigation of negative environmental impacts of agricultural inputs in modern farming. Our literature review of the environmental benefits related to the adoption of precision agriculture solutions is aimed at raising farmers' and other stakeholders' awareness of the actual environmental impacts from this set of new technologies. Existing studies were categorised according to the environmental impacts of different agricultural activities: nitrogen application, lime application, pesticide application, manure application and herbicide application. Our findings highlighted the effects of the reduction of input application rates and the consequent impacts on climate, soil, water and biodiversity. Policy makers can benefit from the outcomes of this study developing an understanding of the environmental impact of precision agriculture in order to promote and support initiatives aimed at fostering sustainable agriculture.

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A Low Energy Consumption in Precision Agriculture Using Wireless Sensor Network

Indian Journal Of Applied Research ◽

10.15373/2249555x/mar2014/39 ◽

2011 ◽

Vol 4 (3) ◽

pp. 134-135

Author(s):

A.Gowri Priya A.Gowri Priya ◽

◽

K.Kannan K.Kannan

Keyword(s):

Energy Consumption ◽

Wireless Sensor Network ◽

Sensor Network ◽

Precision Agriculture ◽

Low Energy ◽

Wireless Sensor ◽

Low Energy Consumption

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Precision Agriculture in the Part of Uttarakhand using Geospatial Techniques

International Journal of Advanced Remote Sensing and GIS ◽

10.23953/cloud.ijarsg.349 ◽

2018 ◽

Vol 7 (1) ◽

pp. 2574-2579

Author(s):

Divya Uniyal ◽

◽

Sourabh Dangwal ◽

Govind Singh Negi ◽

Saurabh Purohit ◽

...

Keyword(s):

Precision Agriculture ◽

Geospatial Techniques

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Application of Remote Sensing in Agriculture

Geoinformatica Polonica ◽

10.2478/gein-2014-0007 ◽

2014 ◽

Vol 13 (1) ◽

Cited By ~ 3

Author(s):

Jan Piekarczyk

Keyword(s):

Remote Sensing ◽

Precision Agriculture ◽

Crop Production ◽

Satellite Images ◽

Crop Yields ◽

Spatial Scales ◽

Strong Relationship ◽

Physical Parameters ◽

Agricultural Crop ◽

Remote Sensing Methods

AbstractWith increasing intensity of agricultural crop production increases the need to obtain information about environmental conditions in which this production takes place. Remote sensing methods, including satellite images, airborne photographs and ground-based spectral measurements can greatly simplify the monitoring of crop development and decision-making to optimize inputs on agricultural production and reduce its harmful effects on the environment. One of the earliest uses of remote sensing in agriculture is crop identification and their acreage estimation. Satellite data acquired for this purpose are necessary to ensure food security and the proper functioning of agricultural markets at national and global scales. Due to strong relationship between plant bio-physical parameters and the amount of electromagnetic radiation reflected (in certain ranges of the spectrum) from plants and then registered by sensors it is possible to predict crop yields. Other applications of remote sensing are intensively developed in the framework of so-called precision agriculture, in small spatial scales including individual fields. Data from ground-based measurements as well as from airborne or satellite images are used to develop yield and soil maps which can be used to determine the doses of irrigation and fertilization and to take decisions on the use of pesticides.

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