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Dana Cirjak, Ivan Aleksi, Ivana Miklecic, Ana Marija Antolkovic, Rea Vrtodu?ic, Antonio Viduka, Darija Lemic, Tomislav Kos and Ivana Pajac ?ivkovic
The pear leaf blister moth is a significant pest in apple orchards. It causes damage to apple leaves by forming circular mines. Its control depends on monitoring two events: the flight of the first generation and the development of mines up to 2 mm in si...
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Islombek Mirpulatov, Mikhail Gasanov and Sergey Matveev
Crop simulation models are an important tool for assessing agroecosystem performance and the impact of agrotechnologies on soil cover condition. However, the high uncertainty and labor intensiveness of long-term weather forecasting limits the applicabili...
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Giovanni Annicchiarico, Giovanni Caternolo, Emanuela Rossi and Pasquale Martiniello
Manure produced by livestock activity is a dangerous product capable of causing serious environmental pollution. Agronomic management practices on the use of manure may transform the target from a waste to a resource product. Experiments performed on com...
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Martin Kuradusenge, Eric Hitimana, Damien Hanyurwimfura, Placide Rukundo, Kambombo Mtonga, Angelique Mukasine, Claudette Uwitonze, Jackson Ngabonziza and Angelique Uwamahoro
Although agriculture remains the dominant economic activity in many countries around the world, in recent years this sector has continued to be negatively impacted by climate change leading to food insecurities. This is so because extreme weather conditi...
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Luís Silva, Luís Alcino Conceição, Fernando Cebola Lidon and Benvindo Maçãs
Nitrogen use efficiency (NUE) is a central issue to address regarding the nitrogen (N) uptake by crops, and can be improved by applying the correct dose of fertilizers at specific points in the fields according to the plants status. The N nutrition index...
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Matthias P. Wagner, Thomas Slawig, Alireza Taravat and Natascha Oppelt
A growing world population, increasing prosperity in emerging countries, and shifts in energy and food demands necessitate a continuous increase in global agricultural production. Simultaneously, risks of extreme weather events and a slowing productivity...
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YiNa Jeong, SuRak Son, SangSik Lee and ByungKwan Lee
This paper proposes a total crop-diagnosis platform (TCP) based on deep learning models in a natural nutrient environment, which collects the weather information based on a farm’s location information, diagnoses the collected weather information an...
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Kurt Christian Kersebaum, Joop Kroes, Anne Gobin, Jozef Takác, Petr Hlavinka, Miroslav Trnka, Domenico Ventrella, Luisa Giglio, Roberto Ferrise, Marco Moriondo, Anna Dalla Marta, Qunying Luo, Josef Eitzinger, Wilfried Mirschel, Hans-Joachim Weigel, Remy Manderscheid, Munir Hoffmann, Pavol Nejedlik, Muhammad Anjum Iqbal, Johannes Hösch
Pág. 1 - 20
Crop productivity and water consumption form the basis to calculate the water footprint (WF) of a specific crop. Under current climate conditions, calculated evapotranspiration is related to observed crop yields to calculate WF. The assessment of WF unde...
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Kurt Christian Kersebaum, Joop Kroes, Anne Gobin, Jozef Takác, Petr Hlavinka, Miroslav Trnka, Domenico Ventrella, Luisa Giglio, Roberto Ferrise, Marco Moriondo, Anna Dalla Marta, Qunying Luo, Josef Eitzinger, Wilfried Mirschel, Hans-Joachim Weigel, Remy Manderscheid, Munir Hoffmann, Pavol Nejedlik, Muhammad Anjum Iqbal and Johannes Hösch
Crop productivity and water consumption form the basis to calculate the water footprint (WF) of a specific crop. Under current climate conditions, calculated evapotranspiration is related to observed crop yields to calculate WF. The assessment of WF unde...
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Qianjing Li, Jia Tian and Qingjiu Tian
The combination of multi-temporal images and deep learning is an efficient way to obtain accurate crop distributions and so has drawn increasing attention. However, few studies have compared deep learning models with different architectures, so it remain...
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Jonathan Vance, Khaled Rasheed, Ali Missaoui and Frederick W. Maier
Alfalfa is critical to global food security, and its data is abundant in the U.S. nationally, but often scarce locally, limiting the potential performance of machine learning (ML) models in predicting alfalfa biomass yields. Training ML models on local-o...
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Yixin Huang, Rishi Srivastava, Chloe Ngo, Jerry Gao, Jane Wu and Sen Chiao
Food shortage issues affect more and more of the population globally as a consequence of the climate crisis, wars, and the COVID-19 pandemic. Increasing crop output has become one of the urgent priorities for many countries. To raise the productivity of ...
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Virginia Strati, Matteo Albéri, Stefano Anconelli, Marica Baldoncini, Marco Bittelli, Carlo Bottardi, Enrico Chiarelli, Barbara Fabbri, Vincenzo Guidi, Kassandra Giulia Cristina Raptis, Domenico Solimando, Fausto Tomei, Giulia Villani and Fabio Mantovani
Proximal soil sensors are taking hold in the understanding of soil hydrogeological processes involved in precision agriculture. In this context, permanently installed gamma ray spectroscopy stations represent one of the best space–time trade off me...
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Luis Giménez, Paula Paredes, Luis S. Pereira
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Data relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter comb...
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Luis Giménez, Paula Paredes and Luis S. Pereira
Data relative to two soybean seasons, several irrigation scheduling treatments, including moderate and severe deficit irrigation, and rain-fed cropping were used to parameterize and assess the performance of models AquaCrop and SIMDualKc, the latter comb...
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Zhiyang Li, Zhigang Nie and Guang Li
One of the crucial research areas in agricultural decision-making processes is crop yield prediction. This study leverages the advantages of hybrid models to address the complex interplay of genetic, environmental, and management factors to achieve more ...
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Yujuan Cao, Jianguo Dai, Guoshun Zhang, Minghui Xia and Zhitan Jiang
This paper combines feature selection with machine learning algorithms to achieve object-oriented classification of crops in Gaofen-6 remote sensing images. The study provides technical support and methodological references for research on regional monit...
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Koffi Djaman, Ali T. Mohammed and Komlan Koudahe
Actual crop evapotranspiration (ETa) is measured or estimated using different methods, and its accuracy is critical for water management under precision agriculture. The objective of this study was to compare maize ETa estimated by the two-step approach ...
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Jacques Fils Pierre, Upendra Singh, Esaú Ruiz-Sánchez and Willingthon Pavan
Intercropping is extensively used to increase land productivity and agricultural benefits. In developing countries, intercropping has historically been one of the most widely used cropping systems. Crop models have been used to assess risk productivity o...
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Jiying Kong, Zhenhai Luo, Chao Zhang, Min Tang, Rui Liu, Ziang Xie and Shaoyuan Feng
The fraction of absorbed photosynthetically active radiation (FPAR), which represents the capability of vegetation-absorbed solar radiation to accumulate organic matter, is a crucial indicator of photosynthesis and vegetation growth status. Although a si...
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