Article
Remote Sensing
Zhenfeng Shao, Wenfu Wu, Deren Li
Summary: Urban remote sensing is crucial for urban observation, requiring data with high resolution. Existing satellites cannot fulfill all requirements, thus coordination of data is necessary. This study introduced an urban spatio-temporal-spectral observation model to address the gap in existing frameworks, and proposed four specific applications.
GEO-SPATIAL INFORMATION SCIENCE
(2021)
Article
Agriculture, Multidisciplinary
Paul B. Hegedus, Bruce D. Maxwell
Summary: This study aimed to provide site-specific knowledge base through modern precision agriculture technologies, quantify the spatiotemporal variation of crop responses, and identify the variables driving crop production, quality, and farmer net-return. The results showed that the degree of crop response varied across time and space, the drivers of net-return varied among fields and years, indicating the need for specific field-based management decisions. On-farm experimentation can help farmers identify these drivers and make informed management decisions.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2022)
Article
Agronomy
James Brinkhoff, Andrew J. Robson
Summary: Early crop yield forecasts for macadamia nuts were conducted using spatio-temporal datasets, with the ridge regression model producing consistently good predictions. Predictions at the block level showed high accuracy, with minimal improvement when adding meteorological variables. Aggregating predictions across regions yielded production prediction errors between 0-15% from 2016-2019, demonstrating the potential for practical implementation in GIS platforms.
AGRICULTURAL AND FOREST METEOROLOGY
(2021)
Article
Agronomy
Mario San Emeterio de la Parte, Sara Lana Serrano, Marta Muriel Elduayen, Jose-Fernan Martinez-Ortega
Summary: This paper proposes a novel spatio-temporal semantic data model for agriculture and validates it using real data from livestock and crop scenarios. The model is evaluated using the Time-series Database (TSDB) engine InfluxDB and a real-time architecture for the management of spatio-temporal semantic agricultural data is proposed.
Article
Environmental Sciences
Luiz Fernando Favacho Morais Filho, Kamila Cunha de Meneses, Gustavo Andre de Araujo Santos, Elton da Silva Bicalho, Glauco de Souza Rolim, Newton La Scala Jr
Summary: Agriculture and soil management practices have a direct impact on CO2 emissions in crop fields. This study investigated the relationship between NDVI, SIF, and xCO2 in different agroecosystems in southern-central Brazil, finding a negative correlation between SIF and xCO2. The results suggest the potential use of SIF and xCO2 to identify sources and sinks of greenhouse gases in agricultural areas.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Review
Environmental Sciences
Abhaya Pal Singh, Amol Yerudkar, Valerio Mariani, Luigi Iannelli, Luigi Glielmo
Summary: This study presents a bibliometric analysis of the use of unmanned aerial vehicles (UAVs) in precision agriculture, specifically in precision viticulture (PV). The analysis reveals that researchers from the United States, China, Italy, and Spain are leading the application of UAVs in precision agriculture, with Italian researchers expanding their work in PV. The study also provides comprehensive information on popular journals, funding organizations, nations, institutions, and authors in this field.
Review
Plant Sciences
Chen Sun, Jing Zhou, Yuchi Ma, Yijia Xu, Bin Pan, Zhou Zhang
Summary: Potato is a significant food crop globally, and precision agriculture is recognized as a solution to improve agricultural returns and reduce environmental impact. Traditional methods of crop and field characterization require a large input in labor, time, and cost, but recent developments in remote sensing technologies have facilitated the process. This review reports the current knowledge on the applications of remote sensing technologies in precision potato trait characterization and provides a selective list for those interested in applying these technologies for precision agriculture.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Engineering, Electrical & Electronic
Shanwei Liu, Chuanlong Ye, Qinting Sun, Mingming Xu, Zhongfeng Duan, Hui Sheng, Jianhua Wan
Summary: A new method for detecting geothermal anomalies is proposed in this study, which effectively eliminates pseudo-anomalous areas while extracting geothermal anomaly areas.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2021)
Review
Agronomy
Angelos Alexopoulos, Konstantinos Koutras, Sihem Ben Ali, Stefano Puccio, Alessandro Carella, Roberta Ottaviano, Athanasios Kalogeras
Summary: With the increasing global population expected to reach 9.7 billion by 2050, there will be a rising demand for food production and agricultural resources. Transitioning to Agriculture 4.0 can enhance agricultural productivity, resource efficiency, long-term food security, and climate change resilience through advanced technologies and sustainable farming practices. By integrating ground IoT sensing, satellite sensing, and UAV technology, and utilizing data fusion and analytics, farming can transition to a more efficient, productive, and sustainable paradigm. This systematic literature review identifies challenges and discusses the complementary use of UAV, satellite, and ground sensing in agriculture for Precision Agriculture (PA) and the transition to Agriculture 4.0.
Review
Computer Science, Information Systems
Swee King Phang, Tsai Hou Adam Chiang, Ari Happonen, Miko May Lee Chang
Summary: This article reviews the applications of remote sensing technologies in precision agriculture and examines the different uses of conventional satellites and unmanned aerial vehicles (UAVs) for data collection. It also provides a detailed overview of how the collected data have been utilized in precision agriculture. Modern UAVs offer several advantages over traditional satellites in terms of data collection and analysis. Precision agriculture is a complex subject, and stakeholders such as practitioners, researchers, and policy planners need to consider the diverse value chain involved.
Article
Plant Sciences
Luis Padua, Lia Duarte, Ana M. Antao-Geraldes, Joaquim J. Sousa, Joao Paulo Castro
Summary: Monitoring invasive plant species is a crucial task, but it can be laborious and complex. In this study, water hyacinth in the Lower Mondego region of Portugal was monitored using Sentinel-2 satellite data. A straightforward and effective methodology using the normalized difference vegetation index (NDVI) was applied to estimate the areas and total surface area occupied by water hyacinth. It was found that the invasive species exponentially increased in the study area from May to October, except in 2021 due to mitigation measures. A semi-automatic GIS application was developed to apply this methodology, which was more effective than machine learning approaches for analyzing multispectral data acquired with an unmanned aerial vehicle.
Article
Environmental Sciences
Lilu Zhu, Xiaolu Su, Yanfeng Hu, Xianqing Tai, Kun Fu
Summary: This paper proposes a spatio-temporal local association query algorithm for remote sensing data (STLAQ), which improves data query and analysis efficiency by constructing spatio-temporal correlation networks and using clustering methods, effectively weakening barriers between remote sensing data.
Article
Agronomy
Murtaza Rangwala, Jun Liu, Kulbir Singh Ahluwalia, Shayan Ghajar, Harnaik Singh Dhami, Benjamin F. Tracy, Pratap Tokekar, Ryan K. Williams
Summary: This study utilizes deep learning to predict pasture height in order to estimate pasture biomass. They developed an architecture that can effectively learn spatiotemporal characteristics of pasture growth even without site-specific data or climatic conditions. Results show the potential scalability of this approach in predicting pasture growth.
Review
Environmental Sciences
Arya Pradipta, Pantelis Soupios, Nektarios Kourgialas, Maria Doula, Zoi Dokou, Mohammad Makkawi, Mohammed Alfarhan, Bassam Tawabini, Panagiotis Kirmizakis, Mohamed Yassin
Summary: Precision agriculture has emerged as a feasible concept to maintain farm productivity while facing future challenges such as climate change, freshwater depletion, and environmental degradation. Remote sensing, geophysics, and agro-hydrological modeling can be utilized to support precision agriculture and optimize on-farm productivity while protecting environmental resources.
Article
Environmental Sciences
Yalu Wang, Jie Li, Wei Zhao, Zhijie Han, Hang Zhao, Lei Wang, Xin He
Summary: With the rapid development of IoT-based near-Earth remote sensing technology, the problem of network intrusion for near-Earth remote sensing systems has become more complex. This article proposes a spatio-temporal graph attention network (N-STGAT) that considers node states for network intrusion detection. The proposed method outperforms existing intrusion detection techniques in terms of binary classification accuracy (>99%) and multi-classification accuracy (>93%).
Article
Agronomy
S. Sunoj, Dilip Kharel, Tulsi Kharel, Jason Cho, Karl J. Czymmek, Quirine M. Ketterings
Summary: The use of agricultural equipment on corn fields can lead to soil compaction, especially on headland areas. A study in New York with data from 63 farms and 4,145 fields showed that yields were 14% lower in headland areas for grain and 16% lower for silage. The study also found that headland management could potentially result in a 4% increase in production gain per field, with some small, low-yielding fields having potential gains of over 20%.
Article
Agronomy
Angel Maresma, Francisca Santiveri, Cristina Chocarro, Jaume Lloveras
Summary: Double-annual cropping systems can increase farmland productivity and environmental benefits, but the optimal crops and cultivation strategies are region-specific. In Mediterranean environments, low precipitation requires irrigation for growing two crops within a year.
JOURNAL OF AGRONOMY AND CROP SCIENCE
(2021)
Article
Agriculture, Multidisciplinary
Jason B. Cho, Joseph Guinness, Tulsi P. Kharel, S. Sunoj, Dilip Kharel, Erasmus K. Oware, Jan van Aardt, Quirine M. Ketterings
Summary: Different spatial estimation methods were evaluated to determine the most accurate method for capturing intra-field spatial variability of corn silage and corn grain yield in New York. The results showed that kriging with the Matern covariance function produced the most accurate raster maps at both farm and field level.
PRECISION AGRICULTURE
(2021)
Article
Agronomy
Deepak R. Joshi, Rajan Ghimire, Tulsi Kharel, Umakant Mishra, Sharon A. Clay
Summary: Nepal faces adverse climate trends and the government is promoting Conservation Agriculture (CA) as a solution, but there is controversy over its value in smallholder farming systems.
Article
Multidisciplinary Sciences
Amanda J. Ashworth, Tulsi Kharel, Tom Sauer, Taylor C. Adams, Dirk Philipp, Andrew L. Thomas, Phillip R. Owens
Summary: This study investigates the relationship between soil properties, terrain attributes, plant accumulation, nutritive value, and grazing pressure. The results show that cattle prefer grazing native grasses and udic (dry) landscape positions compared to aquic (wet) areas. Higher grazing frequency is observed in udic soils with higher phosphorus and potassium contents and lower lignin content in the forage.
SCIENTIFIC REPORTS
(2022)
Article
Agronomy
Girma Birru, Andualem Shiferaw, Tsegaye Tadesse, Marty R. Schmer, Virginia L. Jin, Brian Wardlow, Katja Koehler-Cole, Tala Awada, Sarah Beebout, Teferi Tsegaye, Tulsi Kahrel
Summary: Cover crops provide multiple ecosystem services such as improving soil health, reducing nutrient loss, increasing productivity, and mitigating greenhouse gas emission. However, their adoption is hindered by concerns about negative impacts on main crop productivity and additional production costs. This study evaluates the long-term impact of cereal rye on corn yield, soil properties, and water dynamics under different biophysical conditions in Nebraska.
Article
Chemistry, Analytical
Tulsi P. P. Kharel, Ammar B. B. Bhandari, Partson Mubvumba, Heather L. L. Tyler, Reginald S. S. Fletcher, Krishna N. N. Reddy
Summary: Cover crop biomass is beneficial for weed and pest control, soil erosion control, nutrient recycling, and overall soil health and crop productivity improvement. The use of remotely sensed imagery to estimate cover crop biomass is gaining interest in the agricultural sector.
Article
Agriculture, Multidisciplinary
Kabindra Adhikari, Douglas R. Smith, Chad Hajda, Tulsi P. Kharel
Summary: This study used multi-year yield data and geostatistical techniques to delineate yield stability zones for corn fields. Approximately 57% of the area in the fields was classified as unstable, with nearly 29% consistently yielding below the field mean. Gross margin assessment revealed that stability zones generally had positive margins, while unstable zones had negative margins. Thus, unstable areas could be removed from crop production.
PRECISION AGRICULTURE
(2023)
Article
Environmental Studies
Hans Edwin Winzeler, Phillip R. Owens, Tulsi Kharel, Amanda Ashworth, Zamir Libohova
Summary: The objective of this research was to develop and test a technique for identifying and classifying agricultural terraces using computer vision applied to terrain derivatives calculated from digital elevation models. A total of 38 terrain-derivative grid combinations were tested, and the best subsets achieved a 98% classification accuracy. Further study will investigate the relationship between terrace borrow and deposition areas, and their impact on yield and salinity issues.
Article
Agronomy
Ammar B. Bhandari, Ronald Gelderman, David R. German, Tulsi P. Kharel
Summary: This study aimed to investigate the impact of cover crop and winter manure application on nutrient loss in simulated rainfall runoff. The results showed that cover crops significantly reduced the concentration and load of nitrate-nitrogen in runoff. However, manure application increased nutrient loss. This study helps us understand the complexity and potential risks of nutrient loss to surface runoff during spring in the Northern Great Plains of the Dakotas.
AGROSYSTEMS GEOSCIENCES & ENVIRONMENT
(2023)
Article
Agriculture, Multidisciplinary
Tulsi P. Kharel, Amanda J. Ashworth, Phillip R. Owens
Summary: This study explores the impact of tractor operator experience on overlaps and gaps during fertilizer and herbicide applications. The results show that operator experience level is critical for estimating efficiency gains, with new operators having higher overlap rates.
AGRICULTURAL & ENVIRONMENTAL LETTERS
(2022)
Article
Computer Science, Information Systems
Tulsi P. Kharel, Amanda J. Ashworth, Phillip R. Owens
Summary: By combining data and utilizing PDI, agricultural stakeholders and researchers can make better decisions by fully utilizing existing data and avoiding duplication of research. The case studies using PDI show increased soil organic carbon storage with legume and rye cover crops, as well as with high grazing intensities, demonstrating the potential for addressing agricultural challenges on a large scale through democratizing data.
Article
Soil Science
Tulsi P. Kharel, Amanda J. Ashworth, Phillip R. Owens, Dirk Philipp, Andrew L. Thomas, Thomas J. Sauer
Summary: This study explored the driving factors of productivity in a silvopastoral system using machine learning, identifying key variables that affect system-level output. The results showed that soil nutrient distribution patterns drove grazing response, although animal grazing preference was also influenced by aboveground vegetation, soil, and landscape attributes.