Nutrient Use and Precision Agriculture in Corn Production in the USA

Author(s):  
Roberto Mosheim ◽  
David Schimmelpfennig
2019 ◽  
pp. 107-129
Author(s):  
Gordon Conway ◽  
Ousmane Badiane ◽  
Katrin Glatzel

This chapter proposes that the way forward will be a prosperous and sustainable agriculture sector deeply rooted in the concept of sustainable intensification (SI): producing more with less, using inputs like seeds, fertilizers, and pesticides more prudently, adapting to climate change, reducing GHG emissions, improving natural capital such as soil moisture capacity and the diversity of pests' enemies, and building resilience. One approach to SI is to employ precision agriculture, ensuring that inputs—whether nutrients, pesticides, seeds, or water—are used in a precise, sparing, effective, and strategic way in order to minimize their environmental impact. Thus microdosing permits the prudent, targeted use of inputs such as fertilizers, thereby improving soil quality and moisture while reducing the environmental impact that excessive use can cause. It also reduces costs and helps improve nutrient use efficiency and protection against drought. Precision farming focuses on just one aspect of SI. More generally, it is a concept that includes three mutually reinforcing pillars: ecological intensification, genetic intensification, and socioeconomic intensification.


2020 ◽  
Vol 63 (1) ◽  
pp. 57-67
Author(s):  
Steven R. Evett ◽  
Susan A. O’Shaughnessy ◽  
Manuel A. Andrade ◽  
William P. Kustas ◽  
M. C. Anderson ◽  
...  

Highlights.Precision agriculture (PA) applications in irrigation are stymied by lack of decision support systems.Modern PA relies on sensor systems and near real-time feedback for irrigation decision support and control.Sophisticated understanding of biophysics and biological systems now guides site-specific irrigation.The internet of things (IOT) enables new ways to increase yield per unit of water used and nutrient use efficiency. Keywords: Crop water productivity, Decision support system, Internet of things, Remote sensing, SCADA, Soil water content.


2011 ◽  
Vol 31 (1) ◽  
pp. 130-142 ◽  
Author(s):  
Rubens A Tabile ◽  
Eduardo P Godoy ◽  
Robson R. D Pereira ◽  
Giovana T Tangerino ◽  
Arthur J. V Porto ◽  
...  

Parameters such as tolerance, scale and agility utilized in data sampling for using in Precision Agriculture required an expressive number of researches and development of techniques and instruments for automation. It is highlighted the employment of methodologies in remote sensing used in coupled to a Geographic Information System (GIS), adapted or developed for agricultural use. Aiming this, the application of Agricultural Mobile Robots is a strong tendency, mainly in the European Union, the USA and Japan. In Brazil, researches are necessary for the development of robotics platforms, serving as a basis for semi-autonomous and autonomous navigation systems. The aim of this work is to describe the project of an experimental platform for data acquisition in field for the study of the spatial variability and development of agricultural robotics technologies to operate in agricultural environments. The proposal is based on a systematization of scientific work to choose the design parameters utilized for the construction of the model. The kinematic study of the mechanical structure was made by the virtual prototyping process, based on modeling and simulating of the tension applied in frame, using the.


Agriculture ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 1199
Author(s):  
Anon Janket ◽  
Nimitr Vorasoot ◽  
Banyong Toomsan ◽  
Wanwipa Kaewpradit ◽  
Piyada Theerakulpisut ◽  
...  

Matching fertilization with crop needs is important for maximizing yields and reducing fertilizer losses. Seasonal variation in nutrient uptake dynamics is poorly understood and thus, the ability to optimize fertilization strategies is limited. This study aims to investigate the effects of planting dates on macronutrient uptake dynamics in cassava genotypes with full irrigation. The performance of cassava genotypes, i.e., CMR38-125-77, Kasetsart 50 and Rayong 11, were evaluated in the early rainy (ERS) and post rainy seasons (PRS) for two years using a randomized complete block design with four replicates. The plants were harvested at 1, 3, 6, 9 and 12 months. Planting dates had significant effects on the accumulation of dry matter and storage roots as well as nutrient uptakes and partitioning. On average, the total nutrient uptake per plant to produce 2831–3279 g of biomass with 1244–1810 g of storage roots in the ERS varied among cassava genotypes, ranging from 21.1–24.3 g N, 5.1–5.9 g P, 26.5–29.5 g K, 14.1–22.2 g Ca, 6.1–7.6 g Mg and 2.0–2.3 g S. The total nutrient uptake per plant to produce 3353–3824 g of biomass with 1604–2253 g of storage roots in the PRS ranged from 27.1–32.4 g N, 5.2–6.0 g P, 29.1–31.3 g K, 11.9–20.3 g Ca, 7.3–9.9 g Mg and 1.2–1.5 g S. In the ERS, the majority of the total nutrient uptake occurred at the early growth stages, whereas in the PRS, this occurred at the mid- to late growth stages. At final harvest, the percentages of nutrient removal by the storage roots for ERS were 24.7–36.0% N, 26.0–32.3% P, 43.4–51.5% K, 12.4–17.6% Ca, 22.2–31.5% Mg and 27.2–31.5% S, whereas in the PRS the percentages were 30.4–44.4% N, 33.3–41.6% P, 44.7–57.3% K, 12.0–15.1% Ca, 20.2–28.1% Mg and 12.0–25.4% S. CMR38-125-77 exhibited satisfactory performance in nutrient uptake, nutrient use efficiency and storage roots yield across the planting dates. The evidence obtained from this study would greatly facilitate more efficient adoption of precision agriculture in cassava production by applying recommended fertilizers, e.g., rates, kinds and timings, according to crop demand in each growing season in Thailand and for choosing superior cassava genotypes.


2019 ◽  
pp. 113-143 ◽  
Author(s):  
Wilson Lennard ◽  
Simon Goddek

AbstractAquaponics is a technology that is part of the broader integrated agri-aquaculture systems discipline which seeks to combine animal and plant culture technologies to confer advantages and conserve nutrients and other biological and economic resources. It emerged in the USA in the early 1970s and has recently seen a resurgence, especially in Europe. Whilst aquaponics broadly combines recirculating fish culture with hydroponic plant production, the application of the term aquaponic is broad and many technologies claim use of the name. Combining fish culture with aquatic-based, terrestrial plant culture via aquaponics may be better defined via its nutrient resource sharing credentials. Aquaponics applies several principles including, but not limited to, efficient water use, efficient nutrient use, lowered or negated environmental impact and the application of biological and ecological approaches to agricultural fish and plant production. Water sources are important so that the nutrients required for fish and plant production are available and balanced, and system water chemistry is paramount to optimised fish and plant production. Systems may be configured in several ways, including those that are fully recirculating and those that are decoupled. Aquaponics importantly seeks to apply methods that provide technical, biological, chemical, environmental and economic advantages.


Author(s):  
Ronnie S. Concepcion II ◽  
Sandy C. Lauguico ◽  
Jonnel D. Alejandrino ◽  
Argel A. Bandala ◽  
Edwin Sybingco ◽  
...  

Sustainability is a major challenge in any plant factory, particularly those involving precision agriculture. In this study, an adaptive fertigation system in a three-tier nutrient film technique aquaponic system was developed using a non-destructive vision-based lettuce phenotype (VIPHLET) model integrated with an 18-rule Mamdani fuzzy inference system for nutrient valve control. Four lettuce phenes, that is, fresh weight, chlorophylls a and b, and vitamin C concentrations as outputted by the genetic programming-based VIPHLET model were optimized for each growth stage by injecting NPK nutrients into the mixing tank, as determined based on leaf canopy signatures. This novel adaptive fertigation system resulted in higher nutrient use efficiency (99.678%) and lower chemical waste emission (14.108 mg L-1) than that by manual fertigation (92.468%, 178.88 mg L-1). Overall, it can improve agricultural malpractices in relation to sustainable agriculture.


2020 ◽  
Vol 11 (3) ◽  
pp. 232-242
Author(s):  
Donika Maloku ◽  
Péter Balogh ◽  
Attila Bai ◽  
Zoltán Gabnai ◽  
Péter Lengyel

AbstractThe article highlights the worldwide dissemination of precision agriculture scientific researches published from the period of 1996–2018, data gathered in the Scopus citation database, using the science mapping method. The findings show that there is a constant rise in the number of publications in precision agriculture. The USA is not only leading in the adoption of precision agriculture technologies but also in the publication of papers, accompanied by China placed in second place. The most frequent keywords highlighted the main topics authors concentrated on more, and the national affiliation of most cited papers was the USA. The main prominence and contributions of the results present scientific research trends in precision agriculture in the last two decades, and demonstrate the main countries, authors and organizations who have contributed, and were more productive in this area.


2014 ◽  
Vol 1049-1050 ◽  
pp. 1985-1988 ◽  
Author(s):  
Jian Pei Cai ◽  
Yu Xia Yao

This paper describes the composition and application of precision agriculture technology,combined with the national"863"project and Jilin corn production situation,analyzes the feasibility of application of computer technology in the precision agriculture in corn production,introduces the precision agriculture in Jilin Province demonstration application, which summed up Jilin province No. Thirteen Village in maize production in the first the implementation of precision agriculture technology,is important to the promotion of Jilin province and even the whole country.


2008 ◽  
Author(s):  
Earl D Vories ◽  
Newell R Kitchen ◽  
Kenneth A Sudduth ◽  
E John Sadler ◽  
Terry W Griffin ◽  
...  

Agronomy ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1989
Author(s):  
Dagoberto Armenta-Medina ◽  
Tania A. Ramirez-delReal ◽  
Daniel Villanueva-Vásquez ◽  
Cristian Mejia-Aguirre

In this work, an exhaustive revision is given of the literature associated with advanced information and communication technologies in agriculture within a window of 25 years using bibliometric tools enabled to detect of the main actors, structure, and dynamics in the scientific papers. The main findings are a trend of growth in the dynamics of publications associated with advanced information and communication technologies in agriculture productivity. Another assertion is that countries, like the USA, China, and Brazil, stand out in many publications due to allocating more resources to research, development, and agricultural productivity. In addition, the collaboration networks between countries are frequently in regions with closer cultural and idiomatic ties; additionally, terms’ occurrence are obtained with Louvain algorithm predominating four clusters: precision agriculture, smart agriculture, remote sensing, and climate smart agriculture. Finally, the thematic-map characterization with Callon’s density and centrality is applied in three periods. The first period of thematic analysis shows a transition in detecting the variability of a nutrient, such as nitrogen, through the help of immature georeferenced techniques, towards greater remote sensing involvement. In the transition from the second to the third stage, the maturation of technologies, such as unmanned aerial vehicles, wireless sensor networks, and the machine learning area, is observed.


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