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Sebastian C. Ibañez and Christopher P. Monterola
Accurate prediction of crop production is essential in effectively managing the food security and economic resilience of agricultural countries. This study evaluates the performance of statistical and machine learning-based methods for large-scale crop p...
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Baocheng Zhou, Xin Su, Hongjun Yu, Wentian Guo and Qing Zhang
With the development of agricultural mechanization and information technology, automatic navigation tractors are becoming a more common piece of farm equipment. The accuracy of automatic navigation tractor path tracking has become critical for maximizing...
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Yixin Shi, Jianfei Liu, Defan Huang, Minzi Xu, Shike Zhai, Wentao Zhang and Ping Jiang
In view of the problems that the fuselage inclines and the driving straightness is difficult to guarantee due to the sinking and sliding of the wheels when the high-clearance plant protection machine is working in the paddy field, this paper takes high-c...
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Dongxu Su, Weixiang Yao, Fenghua Yu, Yihan Liu, Ziyue Zheng, Yulong Wang, Tongyu Xu and Chunling Chen
Agricultural unmanned aerial vehicles (UAVs), which are a new type of fertilizer application technology, have been rapidly developed internationally. This study combines the agronomic characteristics of rice fertilization with weighted coefficient learni...
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Yutan Wang, Zhenwei Xing, Liefei Ma, Aili Qu and Junrui Xue
The detection of Lingwu long jujubes in a natural environment is of great significance for robotic picking. Therefore, a lightweight network of target detection based on the SSD (single shot multi-box detector) is presented to meet the requirements of a ...
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