Article
Agriculture, Multidisciplinary
Gustavo Willam Pereira, Domingos Sarvio Magalhaes Valente, Daniel Marcal de Queiroz, Nerilson Terra Santos, Elpidio Inacio Fernandes-Filho
Summary: Kriging is the optimal interpolator for precision agriculture, but it requires a high number of sampling points for accurate map generation. Machine learning techniques have shown potential in generating maps with fewer sampling points. In this study, a Support Vector Machine (SVM) algorithm was implemented and compared to IDW and Ordinary Kriging (OK). Results showed that OK outperformed IDW and the ML method when Moran's I values were significant and higher than 0.67. However, the ML method performed better than IDW and OK in situations with low density of points and low degrees of spatial autocorrelation.
PRECISION AGRICULTURE
(2022)
Review
Chemistry, Multidisciplinary
Heyu Yin, Yunteng Cao, Benedetto Marelli, Xiangqun Zeng, Andrew J. Mason, Changyong Cao
Summary: Soil sensors and plant wearables are crucial in smart agriculture, monitoring soil signals to optimize crop growth and yields. This review covers important soil sensors, their technologies, designs, and performance, as well as discusses emerging technologies and challenges in precision agriculture.
ADVANCED MATERIALS
(2021)
Review
Environmental Sciences
Arya Pradipta, Pantelis Soupios, Nektarios Kourgialas, Maria Doula, Zoi Dokou, Mohammad Makkawi, Mohammed Alfarhan, Bassam Tawabini, Panagiotis Kirmizakis, Mohamed Yassin
Summary: Sustainable agriculture management requires detailed characterization of soil properties, which can be done efficiently and non-invasively using remote sensing and geophysical surveys. These methods can support soil modeling and the study of soil-water interactions.
Article
Environmental Sciences
Francesco Saverio Santaga, Alberto Agnelli, Angelo Leccese, Marco Vizzari
Summary: The study developed a streamlined soil mapping methodology by integrating S2 data and traditional soil-sampling methods, which can produce accurate soil maps with reduced sampling points. Despite its limited scope, the method shows potential in reducing soil-sampling time and costs.
Review
Agronomy
Darren J. Murphy, Michael D. Murphy, Bernadette O'Brien, Michael O'Donovan
Summary: The development of precision grass measurement technologies is crucial for the sustainability of pasture-based livestock production systems, as it can increase grassland production in a more accurate and sustainable manner. This review highlights recent research on precision grass measurement technologies, addressing obstacles like sward heterogeneity and introducing alternative sensing technologies for grassland management. The potential for automating grass measurement and reducing labor costs, as well as the development of online grassland management systems, are also discussed.
Article
Agriculture, Multidisciplinary
Whoi Cho, Abby ShalekBriski, B. Wade Brorsen, Davood Poursina
Summary: Precision agriculture requires combining multiple measurement methods. This study proposes a method that utilizes Bayesian Kriging to estimate the joint spatial distribution of measurements and uses Bayesian Decision Theory and a grid search procedure to determine the economic optimum of these measurements. Comparison with other methods demonstrates the accuracy and economic value of this approach in soil mapping.
PRECISION AGRICULTURE
(2022)
Article
Agronomy
Devangi Hitenkumar Patel, Kamya Premal Shah, Rajesh Gupta, Nilesh Kumar Jadav, Sudeep Tanwar, Bogdan Constantin Neagu, Simo Attila, Fayez Alqahtani, Amr Tolba
Summary: Soil is crucial for agricultural produce quality and yield. This research proposes a crop recommendation algorithm based on soil attributes, which utilizes real-time data collected by soil sensors and validates the data using blockchain technology. The results are displayed on a user dashboard, allowing farmers to monitor their farm practices and sensor status remotely.
Article
Agronomy
Francesco Saverio Santaga, Paolo Benincasa, Piero Toscano, Sara Antognelli, Emanuele Ranieri, Marco Vizzari
Summary: This study compared simplified and advanced precision nitrogen fertilization approaches for winter wheat using Sentinel-2 NDVI, grain yield maps, and protein content. Five N fertilization treatments were evaluated, with results indicating that weather was the main factor influencing yield. While no substantial differences in crop yield were observed among the N fertilization models within each year and experimental location, the low-input direct model (Var-N-dir) yielded the highest nitrogen use efficiency in more favorable seasons, while the advanced models (Var-N-Agricolus and Var-N-Agrosat) performed better in less favorable seasons. Overall, all these variable rate technology (VRT) approaches allowed for reduced excess fertilizers, environmental preservation, and cost savings.
Article
Agronomy
Meysam Kazemi, Faramarz F. Samavati
Summary: Precision agriculture relies on accurate soil condition data obtained through soil testing, which can be expensive. This paper introduces an algorithmic framework for automatically determining the locations of soil test points to reduce costs and improve efficiency. By applying this framework, optimal soil test points can be quickly and accurately identified, resulting in optimized results.
Review
Agriculture, Multidisciplinary
Kathleen Delate, Ben Heller, Jessica Shade
Summary: Organic cotton production prohibits the use of most pesticides and provides premiums for growers, but there is a lack of research on specific organic practices and their environmental impacts.
RENEWABLE AGRICULTURE AND FOOD SYSTEMS
(2021)
Article
Engineering, Chemical
Chanchan Du, Lixin Zhang, Xiao Ma, Xiaokang Lou, Yongchao Shan, He Li, Runmeng Zhou
Summary: By utilizing newly developed technologies like sensors and actuators, scientific researchers have created a water-fertilizer control system based on soil conductivity, improving fertilization accuracy in agriculture. The system was tested and found to reduce fertilizer usage by an average of 10.89% compared to traditional systems, saving 0.76-0.87 tons of fertilizer throughout the entire growth period.
Article
Soil Science
Steven A. Mauget, Sushil K. Himanshu, Tim S. Goebel, Srinivasalu Ale, Robert J. Lascano, Dennis C. Gitz
Summary: Increasing soil organic content can enhance soil water retention and available water capacity, with different effects on different soil types. Fine sandy soil shows a more significant response to organic matter increase compared to clay loam. Conservation agriculture practices may partially offset the soil water retention effects, but different crop rotations could have varying impacts on yields.
SOIL & TILLAGE RESEARCH
(2021)
Review
Agriculture, Multidisciplinary
Rajshree Misara, Divyanshu Verma, Neha Mishra, Shashi Kant Rai, Saurabh Mishra
Summary: Precision Agriculture is an important international journal that focuses on the advancements and understanding in the field of precision farming. With the rapid development of technology, the agriculture sector has undergone significant changes, and this journal has attracted researchers and authors to contribute to the field.
PRECISION AGRICULTURE
(2022)
Article
Computer Science, Information Systems
Sayan Kumar Roy, Debashis De
Summary: This article introduces a unique system in the field of IoT agriculture applications, using genetic algorithm to predict rainfall and recommend watering. The system verifies predictions by monitoring soil moisture levels to enhance system efficiency.
INTERNET OF THINGS
(2022)
Article
Chemistry, Analytical
Goran Kitic, Damir Krkljes, Marko Panic, Csaba Petes, Slobodan Birgermajer, Vladimir Crnojevic
Summary: This paper presents an autonomous robotic system for in-field soil sampling and nitrate analysis. The system offers advantages such as individual sample analysis, georeferencing, full autonomy, real-time analysis, and lightweight design for minimal soil compaction. It includes multiple modules and is integrated with a cloud-based platform for data analysis and task management.
