Yield Estimation and Visualization Solution for Precision Agriculture.

We present an end-to-end smart harvesting solution for precision agriculture. Our proposed pipeline begins with yield estimation that is done through the use of object detection and tracking to count fruit within a video. We use and train You Only Look Once model (YOLO) on video clips of apples, oranges and pumpkins. The bounding boxes obtained through objection detection are used as an input to our selected tracking model, DeepSORT. The original version of DeepSORT is unusable with fruit data, as the appearance feature extractor only works with people. We implement ResNet as DeepSORT's new feature extractor, which is lightweight, accurate and generically works on different fruits. Our yield estimation module shows accuracy between 91-95% on real footage of apple trees. Our modification successfully works for counting oranges and pumpkins, with an accuracy of 79% and 93.9% with no need for training. Our framework additionally includes a visualization of the yield. This is done through the incorporation of geospatial data. We also propose a mechanism to annotate a set of frames with a respective GPS coordinate. During counting, the count within the set of frames and the matching GPS coordinate are recorded, which we then visualize on a map. We leverage this information to propose an optimal container placement solution. Our proposed solution involves minimizing the number of containers to place across the field before harvest, based on a set of constraints. This acts as a decision support system for the farmer to make efficient plans for logistics, such as labor, equipment and gathering paths before harvest. Our work serves as a blueprint for future agriculture decision support systems that can aid in many other aspects of farming.

Compliance of physicians with documentation of an asthma management protocol.

BACKGROUND: Studies continue to show poor physician compliance with asthma management guidelines in clinical practice. However, standardized protocols specifically designed to be practical and user-friendly improve patient outcomes. OBJECTIVE: To determine the degree of physicians' compliance with the documentation of an asthma management protocol in a university hospital. METHODS: A simple asthma management protocol was designed and applied in our pulmonary clinic and primary care clinic for asthma. The protocol was based on the 1998 Manual for the Management of Asthma, from the Oman Ministry of Health, which follows internationally recognized guidelines. The protocol consisted of 4 sections: clinical history, peak expiratory flow (PEF) data, medication section, and simplified asthma management guidelines. RESULTS: All 30 physicians scheduled to conduct asthma clinics in the pulmonary clinic (14 physicians) and the primary care clinic (16 physicians) agreed to use the protocol. A total of 282 protocol forms were collected: 130 forms from 6 senior physicians and 152 from 24 junior physicians. Documentation of the entire clinical history was 65%, with the senior physicians scoring significantly higher documentation-completion rates (82%) for all components of the history than the junior physicians (50%). Documentation of all PEF data was poor (26%), despite high documentation of the PEF value itself (95%). There were significant differences in documentation of percent-of-predicted PEF between junior physicians in primary care clinic (70%) and other physicians (19%). Documentation of the entire medication section was only 34%. Although documentation of prescribed medicines was high (92%), compliance (48%) and inhaler technique (49%) documentation was low, with similar patterns demonstrated by all physicians. Documentation of the entire protocol by all physicians was low (9%), with junior physicians in the primary care clinic completing 28% of their forms. CONCLUSIONS: Our protocol enabled us to identify opportunities for improvement in documentation of asthma management in both the pulmonary and primary care clinics. The findings highlight the need for regular asthma education programs for all physicians, with a focus on documentation of performance skills such as monitoring of PEF and inhaler technique.

Craving for ice and iron-deficiency anemia: a case series from Oman.

Pagophagia, or the practice of consuming ice, is a particular expression of the more general phenomenon of pica. Pagophagia is a complex behavioral phenomenon arising from the interplay of biochemical, hematological, psychological, and cultural factors. This compulsive dietary aberration is observed in many children and pregnant women worldwide. The authors report 3 cases of severe iron deficiency anemia with a serum ferritin level of 2-3 ng/mL, in which the patients were consuming 2 trays and many bags of ice per day. Following treatment with iron therapy, pagophagia spontaneously resolved within 2 weeks. It is a commonly missed problem. Pediatricians should be alert to this phenomena and its association with iron-deficiency anemia.