scholarly journals Remote Sensing: Useful Approach for Crop Nitrogen Management and Sustainable Agriculture

Author(s):  
Salima Yousfi ◽  
José Fernando Marin Peira ◽  
Gregorio Rincón De La Horra ◽  
Pedro V. Mauri Ablanque
2021 ◽  
Vol 11 (13) ◽  
pp. 5911
Author(s):  
Vanesa Martos ◽  
Ali Ahmad ◽  
Pedro Cartujo ◽  
Javier Ordoñez

Timely and reliable information about crop management, production, and yield is considered of great utility by stakeholders (e.g., national and international authorities, farmers, commercial units, etc.) to ensure food safety and security. By 2050, according to Food and Agriculture Organization (FAO) estimates, around 70% more production of agricultural products will be needed to fulfil the demands of the world population. Likewise, to meet the Sustainable Development Goals (SDGs), especially the second goal of “zero hunger”, potential technologies like remote sensing (RS) need to be efficiently integrated into agriculture. The application of RS is indispensable today for a highly productive and sustainable agriculture. Therefore, the present study draws a general overview of RS technology with a special focus on the principal platforms of this technology, i.e., satellites and remotely piloted aircrafts (RPAs), and the sensors used, in relation to the 5th industrial revolution. Nevertheless, since 1957, RS technology has found applications, through the use of satellite imagery, in agriculture, which was later enriched by the incorporation of remotely piloted aircrafts (RPAs), which is further pushing the boundaries of proficiency through the upgrading of sensors capable of higher spectral, spatial, and temporal resolutions. More prominently, wireless sensor technologies (WST) have streamlined real time information acquisition and programming for respective measures. Improved algorithms and sensors can, not only add significant value to crop data acquisition, but can also devise simulations on yield, harvesting and irrigation periods, metrological data, etc., by making use of cloud computing. The RS technology generates huge sets of data that necessitate the incorporation of artificial intelligence (AI) and big data to extract useful products, thereby augmenting the adeptness and efficiency of agriculture to ensure its sustainability. These technologies have made the orientation of current research towards the estimation of plant physiological traits rather than the structural parameters possible. Futuristic approaches for benefiting from these cutting-edge technologies are discussed in this study. This study can be helpful for researchers, academics, and young students aspiring to play a role in the achievement of sustainable agriculture.


2016 ◽  
Author(s):  
E. Raymond Hunt ◽  
Silvia I. Rondon ◽  
Philip B. Hamm ◽  
Robert W. Turner ◽  
Alan E. Bruce ◽  
...  

Sensor Review ◽  
2005 ◽  
Vol 25 (3) ◽  
pp. 209-214 ◽  
Author(s):  
Daniel Inman ◽  
Raj Khosla ◽  
Ted Mayfield

2021 ◽  
Vol 7 ◽  
pp. e484
Author(s):  
Kibebew Wakjira ◽  
Taye Negera ◽  
Aleksejs Zacepins ◽  
Armands Kviesis ◽  
Vitalijs Komasilovs ◽  
...  

The European Union funded project SAMS (Smart Apiculture Management Services) enhances international cooperation of ICT (Information and Communication Technologies) and sustainable agriculture between EU and developing countries in pursuit of the EU commitment to the UN Sustainable Development Goal “End hunger, achieve food security and improved nutrition and promote sustainable agriculture”. The project consortium comprises four partners from Europe (two from Germany, Austria, and Latvia) and two partners each from Ethiopia and Indonesia. Beekeeping with small-scale operations provides suitable innovation labs for the demonstration and dissemination of cost-effective and easy-to-use open source ICT applications in developing countries. SAMS allows active monitoring and remote sensing of bee colonies and beekeeping by developing an ICT solution supporting the management of bee health and bee productivity as well as a role model for effective international cooperation. By following the user centered design (UCD) approach, SAMS addresses requirements of end-user communities on beekeeping in developing countries, and includes findings in its technological improvements and adaptation as well as in innovative services and business creation based on advanced ICT and remote sensing technologies. SAMS enhances the production of bee products, creates jobs (particularly youths/women), triggers investments, and establishes knowledge exchange through networks and initiated partnerships.


Author(s):  
Kshama Harpankar

Sustainable development goal 2 aims to “end hunger, achieve food security and improved nutrition, and promote sustainable agriculture.” SDG2 is one of the most challenging goals to achieve, as it needs to be achieved within the constraints of the multiple demands agriculture faces. The goal of this chapter is to discuss the roles that science, technology, and innovation (STI) can play in optimal nitrogen management as a way to meet sustainable development goal 2. Optimal nitrogen management will enhance food security by improving yields, and it will promote sustainable agriculture by limiting environmental externalities associated with nitrogen. Specifically, this chapter aims to address the following two questions: 1) How can new technologies help boost agricultural productivity while also reducing nitrogen pollution? And, 2) What policy and institutional changes will be needed to encourage innovation and diffusion of these technologies in developing countries? The authors present STI possibilities for improved nitrogen management in the following categories: new types of nitrogen fertilizers, integrated soil and fertility management technologies, precision agriculture technologies, technologies aiding biological nitrogen fixation, and biotechnology solutions. The chapter ends with a discussion of institutional and policy changes needed for widespread adoption of the technology options among resource-poor smallholder farmers.


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