Nanomaterials for Targeted Delivery of Agrochemicals by an All-in-One Combination Strategy and Deep Learning

The development of modern agriculture has prompted the greater input of herbicides, insecticides, and fertilizers. However, precision release and targeted delivery of these agrochemicals still remain a challenge. Here, a pesticide-fertilizer all-in-one combination (PFAC) strategy and deep learning are employed to form a system for controlled and targeted delivery of agrochemicals. This system mainly consists of three components: (1) hollow mesoporous silica (HMS), to encapsulate herbicides and phase-change material; (2) polydopamine (PDA) coating, to provide a photothermal effect; and (3) a zeolitic imidazolate framework (ZIF8), to provide micronutrient Zn(2+)and encapsulate insecticides. Results show that the PFAC at concentration of 5 mg mL(-1) reaches the phase transition temperature of 1-tetradecanol (37.5 degrees C) after 5 min of near-infrared (NIR) irradiation (800 nm, 0.5 W cm(-2)). The data of corn and weed are collected and relayed to deep learning algorithms for model building to realize object detection and further targeted weeding. In-field treatment results indicated that the growth of chicory herb was significantly inhibited when treated with the PFAC compared with the blank group after 24 h under NIR irradiation for 2 h. This system combines agrochemical innovation and artificial intelligence technology, achieves synergistic effects of weeding and insecticide and nutrient supply, and will potentially achieve precision and sustainable agriculture.

Automated summary

The article introduces a system using a pesticide-fertilizer all-in-one combination strategy and deep learning for controlled and targeted delivery of agrochemicals. The system, composed of multiple components, shows feasibility in experiments and combines agrochemical innovation and artificial intelligence technology to achieve synergistic effects of weeding, insecticide, and nutrient supply.