Food Security and Sustainability

Pachapur, Preetika Kuknur; Pachapur, Vinayak Laxman; Brar, Satinder Kaur; Galvez, Rosa; Bihan, Yann Le; Surampalli, Rao Y.

doi:10.1002/9781119434016.ch17

Cited by 29 publications

(24 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Due to the no-contact and non-line-of-sight nature of this technology, RFID is very promising and economical. An MpSFR fitted with a single working RFID reader [8] can easily detect an RF tag. RFID automatically recognizes and monitors an entity using radio waves and consists of two main elements: a data-carrying unit (tag/transponder) and a reader (transceiver).…”

Section: Resultsmentioning

confidence: 99%

“…Hence, it is clear that there exists an uneven distribution of water withdrawals for the agricultural sector across the globe, which results in food security and water supply issues. In parallel with this, various techniques are being used to solve food security and water supply issues for multiple uses and ensure an environmental balance [7][8][9]. Some studies in the literature suggested creating water demand management measures [10,11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design and Analysis of Photovoltaic Powered Battery-Operated Computer Vision-Based Multi-Purpose Smart Farming Robot

et al. 2021

View full text Add to dashboard Cite

Farm machinery like water sprinklers (WS) and pesticide sprayers (PS) are becoming quite popular in the agricultural sector. The WS and PS are two distinct types of machinery, mostly powered using conventional energy sources. In recent times, the battery and solar-powered WS and PS have also emerged. With the current WS and PS, the main drawback is the lack of intelligence on water and pesticide use decisions and autonomous control. This paper proposes a novel multi-purpose smart farming robot (MpSFR) that handles both water sprinkling and pesticide spraying. The MpSFR is a photovoltaic (PV) powered battery-operated internet of things (IoT) and computer vision (CV) based robot that helps in automating the watering and spraying process. Firstly, the PV-powered battery-operated autonomous MpSFR equipped with a storage tank for water and pesticide drove with a programmed pumping device is engineered. The sprinkling and spraying mechanisms are made fully automatic with a programmed pattern that utilizes IoT sensors and CV to continuously monitor the soil moisture and the plant’s health based on pests. Two servo motors accomplish the horizontal and vertical orientation of the spraying nozzle. We provided an option to remotely switch the sprayer to spray either water or pesticide using an infrared device, i.e., within a 5-m range. Secondly, the operation of the developed MpSFR is experimentally verified in the test farm. The field test’s observed results include the solar power profile, battery charging, and discharging conditions. The results show that the MpSFR operates effectively, and decisions on water use and pesticide are automated.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and Analysis of Photovoltaic Powered Battery-Operated Computer Vision-Based Multi-Purpose Smart Farming Robot

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The increase in organic vegetable consumption and the search for more sustainable and environmentally friendly agriculture have triggered factors to give rise to new technologies to optimize vegetable cultivation and treatment processes for supplying the constant market demand ( Pachapur et al, 2020 ; Balkrishna, 2021 ; Lichtfouse, 2021 ; Linaza et al, 2021 ; Singh, 2021 ). These processes are mainly focused on the detection, irrigation, fertilization of vegetables and fruits during their growth and harvest phases ( Gonzalez-de Santos et al, 2020 ; Tang et al, 2020 ; Wu et al, 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Trend Technologies for Robotic Fertilization Process in Row Crops

et al. 2022

View full text Add to dashboard Cite

The development of new sensory and robotic technologies in recent years and the increase in the consumption of organic vegetables have allowed the generation of specific applications around precision agriculture seeking to satisfy market demand. This article analyzes the use and advantages of specific optical sensory systems for data acquisition and processing in precision agriculture for Robotic Fertilization process. The SUREVEG project evaluates the benefits of growing vegetables in rows, using different technological tools like sensors, embedded systems, and robots, for this purpose. A robotic platform has been developed consisting of Laser Sick AG LMS100 × 3, Multispectral, RGB sensors, and a robotic arm equipped with a fertilization system. Tests have been developed with the robotic platform in cabbage and red cabbage crops, information captured with the different sensors, allowed to reconstruct rows crops and extract information for fertilization with the robotic arm. The main advantages of each sensory have been analyzed with an quantitative comparison, based on information provided by each one; such as Normalized Difference Vegetation Index index, RGB Histograms, Point Cloud Clusters). Robot Operating System processes this information to generate trajectory planning with the robotic arm and apply the individual treatment in plants. Main results show that the vegetable characterization has been carried out with an efficiency of 93.1% using Point Cloud processing, while the vegetable detection has obtained an error of 4.6% through RGB images.

show abstract

“…Сегодня в развитых странах всё больше создается сельскохозяйственных производств индустриального типа, когда сельскохозяйственный труд приобретает черты заводского труда, для результатов которого характерны высокие показатели точности, устойчивости, надёжности и управляемости ведущих процессов [15][16][17][18][19][20].…”

Section: Introductionunclassified

Future agro-industrial technologies and food security in advanced engineering education

Антипов

Panfilov

2021

Vestn. Voronež. gos. univ. inž. tehnol.

View full text Add to dashboard Cite

The article is devoted to some aspects of creating technologies and equipment for the future agro-industrial complex of Russia. The focus is on the dependence of the solution to the issues of the accelerated development of the agro-industrial complex on the intellectualization of the educational process in higher education. The range of issues discussed includes: the role of fundamental science in the development of the country's agro-industrial complex; a new paradigm of scientific activity; close relationship of agricultural scientists and scientists of the food and processing sectors of the agro-industrial complex; quality of engineering education; the concept of advanced education and its fundamental orientation towards the future; the transition from the sum of scattered special knowledge to a system of knowledge in the form of a set of textbooks in special disciplines; description of a set of 19 books "Engineering of food technology". Particular attention is paid to the relationship between the future of the agro-industrial complex and the system of advanced engineering education. What does it take to achieve the goals of advanced engineering education? First, to expand the vector of work of professors, teachers and students from the transfer and assimilation of pragmatic knowledge to the formulation and solution of the problems of the agro-industrial complex. Secondly, to widely introduce methods of self-education based on information and telecommunication technologies, which is especially important for Russia, which has a huge territory. Third, to implement the ideas of advanced education in order to prepare students for the perception of the agro-industrial complex of the future. Therefore, the intellectualization of the educational process should be considered as a problem of today and a key to the country's food security.

show abstract

Food Security and Sustainability

Cited by 29 publications

References 53 publications

Design and Analysis of Photovoltaic Powered Battery-Operated Computer Vision-Based Multi-Purpose Smart Farming Robot

Design and Analysis of Photovoltaic Powered Battery-Operated Computer Vision-Based Multi-Purpose Smart Farming Robot

Trend Technologies for Robotic Fertilization Process in Row Crops

Future agro-industrial technologies and food security in advanced engineering education

Contact Info

Product

Resources

About