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Chengmin Li, Haoyu Deng, Guoxin Yu, Rong Kong and Jian Liu
Nudging the adoption of agricultural green production technologies (AGPTs) by cotton farmers is a practical need to implement the national ?green development? strategy. Based on the micro-survey data of 502 cotton farmers, this paper empirically analyzed...
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Magdalena Krupka, Ewa Olkowska, Agnieszka Klimkowicz-Pawlas, Leszek Leczynski, Maciej Tankiewicz, Dariusz J. Michalczyk, Lidia Wolska and Agnieszka I. Piotrowicz-Cieslak
Intensive poultry production may result in substantial emissions of pollutants into the environment, including pharmaceuticals and other chemicals used in poultry farming. The objective of this study was to verify the presence of ciprofloxacin, enrofloxa...
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Yihan Chen, Wen Xiang and Minjuan Zhao
On the basis of data collected from 1208 apple farmers in the provinces of Shaanxi and Gansu, this study utilizes the weighted-frequency method to investigate the priority sequence of farmers? preferences in choosing fertilizer-reduction and efficiency-i...
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Hailiang Gong, Xi Wang and Weidong Zhuang
This study focuses on real-time detection of maize crop rows using deep learning technology to meet the needs of autonomous navigation for weed removal during the maize seedling stage. Crop row recognition is affected by natural factors such as soil expo...
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Adriano Mancini, Francesco Solfanelli, Luca Coviello, Francesco Maria Martini, Serena Mandolesi and Raffaele Zanoli
Yield prediction is a crucial activity in scheduling agronomic operations and in informing the management and financial decisions of a wide range of stakeholders of the organic durum wheat supply chain. This research aims to develop a yield forecasting s...
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