Most of the agricultural sector activities are in rural area. Rural and agricultural development requires accurate spatial information so that accuracy in sustainable development planning can be attained. This study was aimed to determine the strategy of sustainable agriculture development planning in a rural area. This research method used a spatial data approach acquiring village imagery produced using a drone. The actual land use analysis used ArcGIS software through a participatory digitization process. Analysis of land carrying capacity using the approach of land availability and land requirements. The results of the analysis became a reference for compiling the direction of planning for sustainable agricultural village development. Analysis of alternative program priorities using the Analytical Hierarchy Process (AHP) approach. The study found that agricultural areas dominated land use in Sukadamai Village with an area of 112,942 ha (42,693%). Land carrying capacity in Sukadamai Village was in a deficit with a comparison ratio of land availability (SL) to land requirements (DL) of 0.22. The strategy of sustainable agricultural development that can be done is the innovative application of effective and efficient land intensification. The program prioritized the criteria of social justice and maximized the government's role in realizing development goals.

Unmanned Aerial Vehicle has been adopted in various different areas starting from hobby photography to professional measurement techniques. This paper focuses on the potential of using UAV for agriculture and agroindustry to improve the overall productivity and reducing the overall product cost. It provides brief overview of available UAV systems on the market including their sensors and capabilities. More important is the software part and required algorithms for controlling the AUV in such way that it becomes intelligent. The more advanced the software the more intelligent is the AUV. Some of available algorithms and applications for this purpose are discussed in this paper.

A village is an arena for sustainable development where economic, social, cultural, environmental and political interactions occur. It has a strategic meaning for the successful achievement of the 17 indicators of Sustainable Development Goals (SDGs). However, villages have limitations in providing data and indicators to measure the achievement of SDGs based on RW. The aims of this study are to provide Precision Village Data (DDP) and use it to measure and analyze the achievement indicators of 16 out of 17 village SDGs. One of SDGs 14, namely the marine ecosystem is not measured because the research location is a terrestrial village with an altitude of 423-902 m ASL. The use of DDP in the research location with normalization and aggregation methods based on arithmetic averages made this study successful in calculating the scores of each village SDGs. Then the results of the analysis of the village DDP and SDGs were combined with spatial mapping. The results showed that the SDGs in Sukamantri Village cumulatively achieved quite good results. A total of 3 SDGs was classified as very good, 4 SDGs were classified as good, 3 SDGs were classified as good enough, 5 SDGs were lacking, and 2 SDGs were poorest. Referring to the SDGs index calculation for Sukamantri Village, the environmental pillar has the highest score and is on average very good. However, the social and economic pillars are in the poor category, the law and governance pillars are in the poorest category. This means that sustainable development in Sukamantri Village has not been achieved. The natural wealth in Sukamantri Village has not been managed to achieve the fulfillment of basic human rights that are of a just and equal quality, for the well-being of the villagers and the realization of inclusive and quality economic growth.

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Mengacu pada Undang Undang Republik Indonesia Nomor 23 Tahun 2008, sejak tanggal 24 Juni 2008. Kabupaten Labuhanbatu Utara (Labura) mulai berdiri sendiri sebagai kabupaten dan terpisah dari Kabupaten Labuhanbatu Selatan. Pada dasarnya wilayah pemekaran memiliki tujuan untuk meningkatkan kesejahteraan masyarakat. Berdasarkan data BPS tahun 2019, sektor unggulan dan mata pencaharian di Kabupaten Labura adalah pertanian. Akan tetapi seiring berjalannya waktu usaha pertanian semakin menurun. Hal ini terjadi diduga karena perubahan tutupan lahan. Secara geografis pemekaran wilayah akan mempengaruhi perubahan tutupan penggunaan lahan. Oleh karena itu untuk mengetahui seberapa besar perubahan yang terjadi perlu dilakukan analisis tutupan lahan tahun 2010-2019, kurang lebih 10 tahun setelah masa pemekaran terjadi. Analisis tutupan lahan satu dekade ini dilakukan menggunakan Citra Landsat yang diolah melalui metode klasifikasi penggunaan dan perubahan lahan. Hasilnya Kabupaten Labura mengalami perubahan yang relatif lambat. Perkebunan karet dan sawit mengalami perluasan lahan yang besar sedangkan hutan mangrove berubah fungsi dominan menjadi perkebunan. Sementara lahan terbuka mengalami perubahan terkecil yang juga mengarah ke perkebunan. Setelah dilakukan analisis tutupan lahan, dilakukan Seleksi Bivariat dengan menggunakan metode Logistic Regression Analysis (LRA) untuk mendapatkan faktor pendorong perubahan. Ada 7 variabel yang diduga mempengaruhi perubahan yaitu 1) jenis tanah, 2) kemiringan lereng, 3) curah hujan, 4) jumlah penduduk, 5) kepadatan penduduk, 6) jarak dari pusat kecamatan, dan 7) jarak dengan jalan utama. Hasil analisis menunjukan 6 variabel mempengaruhi dan hanya 1 variabel yakni curah hujan yang tidak mempengaruhi. Nilai positif pengaruh terbesar adalah jenis tanah. Semakin subur tanah maka perubahan semakin cepat terjadi. Nilai negatif pengaruh terbesar adalah jarak dari pusat Kota yaitu kecamatan. Semakin jauh jarak dengan pusat kota, perubahan semakin cepat terjadi. Hal ini terjadi karena perkebunan dan pertanian yang lebih banyak mengalami perubahan berada jauh dari pusat pemukiman kecamatanan. Rekomendasi berupa perlunya zonasi tata ruang dan pengawasan alih fungsi lahan.