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Abstract

Current farming equipments that are being used in the country are not sufficed to bridge yield gaps between average and progressive farmers due to conventional nature and lack of standardization. The potential crop yield gap can be narrowed by applying site-specific agricultural inputs precisely through decision support mechanisms. The Precision Agriculture is an environment friendly system, which aims at reducing amount of inputs required to grow crops and focuses on increasing yield by increasing the efficiency of inputs. The spatial variability of soils can be mapped and yield monitors can be adopted to map yield. The researchers have developed Precision Seed drills and Variable Rate Applicators of fertilizer and pesticides. Such systems have resulted in 25 – 50% saving in use of Nitrogen alone. We need to reverse engineer and adapt available technologies and engineering options. Use of Agricultural Drones and satellites is a hot topic of research. In advanced countries, most of the crop monitoring, yield mapping and agrochemical spraying is being carried out by manned and un-manned aerial vehicles. It needs to be introduced in the country while developing flight laws. Information and Communication Technologies (ICT) in Farm Production Systems using Precision Agriculture Techniques and Mobile Agriculture Applications (MAgA) for research distribution & real time interaction with farmers could be a game changer. Other ICT applications include dissemination of knowledge and provision of databases for a better planning and land use. LRMIS in Punjab has digitized land records. The province of Sindh is also close to achieving the target. Punjab should share the experience with the Baluchistan province for a better land management future. Its future uses will include a possibility of better provision of credit facilities and site-specific advisory services.
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... Autonomous drones and tractors are examples of existing robots, which have the advantage over aerial robots, the accuracy with which they can perform operations. Land robots can also perform operations such as harvesting, weeding, pruning, sowing, spraying, and thinning, among others (Cheema et al., 2018). The first steps of robotics in agriculture were taken in 1920, with research aimed at the automatic orientation of vehicles in agriculture. ...
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This paper describes the latest innovations in agricultural robotics, specifically for weed control, harvesting and monitoring, taking into account the challenges of introducing robotics in this sector, such as fruit detection, orchard navigation, task planning algorithms, or sensors optimization. One of the trends in precision agriculture is the introduction of swarm robotics, allowing collaboration between robots. Another trend is in aerial imagery acquisition for ground analysis as well as environmental reconstruction, complemented by field-mounted sensors. Although robots are becoming quite important in the evolution of agriculture, it is still unlikely that all tasks will be automated in the near future due to the complexity arisen by the overall variability of cultures. The analysis of the current state of the art allows the proposal of a robotic rover for multipurpose agricultural activities (R2A2), developed to perform particular and controlled spraying, to pick up fallen fruits and to predict fruit production in peach orchards. These tasks are performed in different period of the campaign, allowing to use the same robotic platform for different activities. The tasks performed by the robotic platform aim to help increasing productivity, by accurate fruit counting, that allows decision making concerning water requirements and the reduction of herbicide and pesticide applications. The design and construction of this platform aims to be an additional contribution for the rising of agricultural robotics.
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در پژوهش حاضر پهپادسمپاش بهعنوان یک روش نوین سمپاشی برای کنترل جمعیت آفت شتۀ کلزا ارزیاابی و نتاای آن باا سامپاش تورباونینر مقایسه شد. آزمون در قالب طرح کاملاً تصادفی در سه تکرار اجرا شد. آزمونها در زماان آلاود ی حاداق 20 درصاد از بوتاهها اجارا شاد. پارامترهاای اندازه یریشده شام مقدار ضریب کیفیت پاشش، ظرفیت مزرعهای تئوری و مؤثر، بازدۀ مزرعهای، انرژی مصرفی و کارایی )اثربخشی( سمپاشی بودند. براساس نتای برای پهپادسمپاش و سمپاش توربونینر، بهترتیب میانگین مقدار محلول سم مصرفی برابر با 1 / 11 و 6 / 187 لیتر در هکتار، ضریب کیفیت پاشش 15 / 1 و 21 / 1 ، بازدۀ مزرعهای 4 / 51 و 3 / 32 درصد و انرژی مصرفی 4 / 3 و 5 / 100 کیلووات ساعت بهدست آمد. براساس نتای تجزیۀ واریانس در - سه، هفت و 14 روز پس از سمپاشی، بین تیمار شاهد و تیمارهای پهپادسمپاش و سمپاش توربونینر از نظر تعداد شته اختلاف معنیدار بود؛ بهطوریکاه تعداد شته در کرتهای سمپاشیشده با هر دو نوع سمپاش در سه بار نمونهبرداری پس از سمپاشی کمتر از 100 شته در ساقه بود. اما در تیمار شاهد تعداد شته در ساقه 700 - 250 بود. مقایسۀ میانگین کارایی پهپادسمپاش و سمپاش توربونینر با آزمون t نشان داد کاه هار دو سامپاش نتاای قابا قبولی در کنترل جمعیت شتۀ کلزا داشتند. در سه و هفت روز پس از سمپاشی، سمپاش توربونینر کارایی بیشتری نسبت به پهپادسمپاش داشت. اما در 14 روز بعد از سمپاشی، کارایی پهپادسمپاش و سمپاش توربونینر بهترتیب 7 / 92 و 2 / 85 درصد بود. استفاده از پهپادسمپاش با توجه به کاهش مقدار محلول مصرفی و انرژی مصرفی و افزایش بازدۀ مزرعهای، کیفیت پاشش و کارایی سمپاشی برای کنترل جمعیت شتۀ کلزا توصیه میشود.
Chapter
Traditional agriculture is barely meeting the global food demand and due to the threats of climate change, farmers across the globe need to adopt the modern agriculture technologies. Precision agriculture techniques can ensure sustainable yield, minimize over or under application of crop production inputs, reduce cost of production, and minimize detrimental environmental impacts. Many VRTs have been developed in the last couple of decades to apply agrochemicals according to crop needs. However, the large-scale adoption remains number one challenge as farmers need constant training and willingness to adopt these technologies. Advancements in computing capacities and introduction of GPUs have reduced the processing times of various algorithms significantly to ensure real-time applications of VRTs. The main focus of researchers in the past few years is on development of user-friendly interfaces and multi-crop programs for farmers and growers. High computing power machines are also being implemented to develop decision support systems that can predict and generate early warnings for diseases/pest attacks. Combinations of sophisticated and user-friendly VRTs along with timely dissemination of information to farmers based on intelligent weather systems and crop modeling tools can help in choosing fertilizer application, irrigation, and other farming operations in agriculture fields for sustainable agriculture production.
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